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Alok Agarwal
Spring Cloud tutor
US$15.00 /15 min
I have a great passion for solving problems and can help people with various programming languages, databases, information systems, software related projects.
- HTML/CSS
- PHP
- Java
- Node.js
- Haskell
- MongoDB
- Flask
- Database
- OpenCV
- Jenkins
- Salesforce
- OCaml
- Firebase
- Server Administration
- React
- Google Cloud Platform
- Deep Learning
- Blockchain
- Qlik Sense
- Digital marketing
- MuleSoft
- Power BI
- Next.js
- VB.NET
- Roblox
- Flutter
- Google Apps Script
- Godot Engine
- Microsoft Dynamics CRM
- Databricks
- Google apis
- Vue.js
- Playwright
- Supabase
- Microsoft Power Platform
- FlutterFlow
- Python
- C#
- SQL
- WordPress
- SEO
- Linux
- Eclipse
- Excel
- Visual Studio
- API
- Google Maps
- Microsoft Access
- Java EE
- Excel VBA
- PowerShell
- SharePoint
- Ubuntu
- Testing
- Azure
- GitHub
- Lua
- phpMyAdmin
- Responsive Design
- TypeScript
- Maven 3
- YAML
- JUnit 4
- Ansible
- UI design
- Web Development
- Docker
- Apex
- ETL
- Data Visualization
- Spring Boot
- Flow
- JavaScript
- Responsive Layout
- Game Design
- Rust
- Apache Spark
- Kubernetes
- Swagger
- JSON API
- QlikView
- Azure SQL
- Power Query
- Redux
- AWS DynamoDB
- GDScript
- Postman
- Terraform
- Test Automation
- TensorFlow
- Keras
- AWS Lambda
- .NET Core
- Solidity
- DAX
- .NET
- Linux System Administration
- Web3
- Data modeling
- Salesforce Marketing Cloud
- ASP.NET Core
- ASP.NET
- Mobile App Development
- PyTorch
- Salesforce lightning
- Sharepoint 2016
- Salesforce Administration
- Azure Functions
- Tailwind css
- Microsoft SharePoint
- Aws glue
- Azure Blob Storage
- Lightning Web Components
- Azure Data Factory
- Azure logic apps
- Excel solver
- DeFi
- Dataverse
- Solana
- Php8
- Apache HTTP Server
- AWS
- Langchain
- Generative AI
- Luau
- Power Apps
- Power Automate
Fernando Yray
Spring Cloud tutor
US$17.00 /15 minSolution-oriented. Love helping others. Passionate on Software/Web Development. I'm also open for **part-time/full-time job opportunity**. If your company or your friend needs a backend/frontend dev, please reach out to me.
- HTML/CSS
- Python
- Java
- SQL
- jQuery
- MySQL
- Angular
- Google App Engine
- JUnit
- Google Analytics
- TypeScript
- Bootstrap
- Google Tag Manager
- React
- Google Cloud Platform
- Spring Boot
- JavaScript
- RxJS
- Adobe Photoshop
- NgRx
- Cypress
- Apache tomcat
- Vue.js
- Playwright
- DevOps
- Django
- Shell
- Grails
- JPA
- Groovy
- Jenkins
- Spring Security
- JavaFX
- Spring data
- Docker
- Redux
- CI/CD
- Swing
- Angular 6
- Hibernate ORM
Anurag Vardhan
Spring Cloud tutor
US$20.00 /15 minI have 17+ years of experience developing applications and websites for small, medium and large sized businesses with React,Angular,JavaScript,Java. I am the owner and builder of [https://nscomponent.com/](https://nscomponent.com/) and [https://nscomponent.com/nsgrid](https://nscomponent.com/nsgrid). I have built reusable components like Grid, Editor, List, Calendar, Dialog Box, Panel etc as part of nscomponent and created wrappers for them in React, Angular , AngularJS which can be found in NPM Repository. These are some of the Technologies I can help you in: • Technologies: Javascript, React, Angular, AngularJS, NodeJS, Adobe Flex,HTML5, CSS3, Bootstrap, JQuery, HTML + CSS/SCSS, Ajax, NodeJS / Express, Git / Github, npm • Languages: Javascript,Typescript,Java • Databases: Sql Server
Ajay K
Spring Cloud tutor
US$25.00 /15 minAI engineer and cloud architect with 16+ years building and scaling production software systems. I help startups and product teams take LLM features from prototype to production: combining Azure OpenAI, Java, Python, TypeScript, and cloud-native architecture to ship systems that stay reliable under real traffic. I specialise in the engineering layer around LLMs, where most AI projects actually fail: inference isolation so model latency and outages don't take down core services, structured prompt engineering with response validation and guardrails, low-latency service integration, and cost control under variable AI workloads. Alongside that, the fundamentals: LLM-powered APIs, backend services, and event-driven microservices on Docker, Kubernetes, Azure, Kafka, and CI/CD. Currently at Microsoft, bringing enterprise-grade engineering discipline to fast-moving startup environments. I work comfortably in small distributed teams, communicate clearly with technical and non-technical stakeholders, and focus on AI features that reach users rather than demos.
- Cloud
- Python
- Java
- Angular
- Jenkins
- Elasticsearch
- TypeScript
- Maven 3
- Test driven development
- Docker
- Google Cloud Platform
- Leadership
- Spring Boot
- Apache Kafka
- Kubernetes
- Microservices
- AWS Lambda
- Architectural Design
- EC2 Instance Types
- AI
- AWS
- LLM
- JSON
- Azure
- Web Development
- Power BI
- CI/CD
- Azure Functions
- RESTful API
- OpenAI
- Microsoft Power Platform
- Langchain
- GPT-4
Adrian Segui
Spring Cloud tutor
US$25.00 /15 min**📝 Profile Context / Summary** With 10+ years across enterprise IT and global freelancing, I am an AI-Stack Architect—not just a full-stack developer. In 2026, the industry has shifted decisively: software is no longer just written; it is architected, governed, and continuously learned. The most valuable engineers are no longer those who simply write code, but those who can turn code into cognition—engineers fluent in the AI-stack. I am that engineer. I design and build agentic platforms—systems where AI doesn't just assist but actively plans, builds, tests, and releases software. I have successfully delivered complex solutions across Medical, Fintech, Employee Management, and SaaS industries, handling everything from AI-native frontends to hyper-scalable microservices with autonomous agent orchestration. **🤖 AGENTIC AI & MACHINE LEARNING** 2026 is the breakout year of AI inferencing—where trained models generate predictions and outputs from new data. Most AI computing is now spent on inference rather than training. I specialize in: Agentic AI & Orchestration: LangChain, LlamaIndex, AutoGen, CrewAI—building multi-agent systems that plan, act, and adapt in real time. Full-stack agent platforms combining proprietary training data, planning models, and custom actuation layers. Generative AI & LLMs: OpenAI GPT-4/API, Google Gemini, Anthropic Claude, HuggingFace Transformers. Retrieval-Augmented Generation (RAG) with vector databases (Pinecone, Chroma, Weaviate, FAISS). AI-Native Development: 42% of committed code is now AI-generated, projected to reach 65% by 2027. I don't just use AI tools—I orchestrate AI agents across the entire SDLC: planning, design, build, test, deployment, and maintenance. Deep Learning & Classical ML: TensorFlow, PyTorch, CNNs (Computer Vision), RNNs/LSTMs (Time-Series/NLP), Scikit-learn, Pandas, NumPy. Model Deployment & Optimization: Model compression, quantization, edge computing, cost-per-prediction optimization. AI Governance & Security: AI-generated code carries roughly double the security risk violations of human-written code. I implement robust governance, testing, and security controls for AI systems. **⚛️ MODERN FRONTEND** React remains the most widely used UI library, with 67% of new enterprise React projects now built on Next.js—a 300% increase since 2023. React Server Components are now the default: Core: React 19, Next.js 16 (App Router, Server Components, Turbopack), Remix, Svelte 5 (runes), Astro. Styling: Tailwind CSS, shadcn/ui (1.87M weekly downloads), Framer Motion, Material-UI. State: Zustand (35% adoption, 35ms updates) vs Redux (38% adoption, 65ms), TanStack Query, Jotai. Build Tooling: Vite 8 with Rolldown (Rust-based, 10-30x faster builds), Turbopack. TypeScript: Used by 38% of professional developers, required in 72% of frontend job postings. **📱 MODERN MOBILE** React Native's New Architecture (stable since 2024) delivers significant performance improvements through synchronous native module calls: Frameworks: React Native (Expo), NativeScript, Flutter. Native: iOS (Swift/SwiftUI), Android (Kotlin & Jetpack Compose). Emerging: GPU-powered rendering for consumer and enterprise apps. **⚙️ MODERN BACKEND & API** Runtimes: Node.js (NestJS, Express), Bun, Deno, Python (FastAPI—57.9% developer usage, up 7% from 2024), Java (Spring Boot 4.0—modularized, Java 25 LTS support). Spring AI 1.0: Built-in support for integrating LLMs and AI services into enterprise Java applications. API Design: RESTful, GraphQL (Federation), gRPC, Webhooks, WebSockets. Event-Driven: Apache Kafka, RabbitMQ, AWS SNS/SQS. **☁️ DEVOPS & CLOUD (2026 Standard)** Cloud-native and Serverless adoption has surpassed 70% penetration in enterprise IT. Multi-cloud is now the standard—Gartner projects over 75% of cloud customers will adopt this model: Cloud: AWS, GCP, Azure (multi-cloud architecture). Containerization & Orchestration: Docker, Kubernetes (K8s), Helm. Serverless: AWS Fargate, Lambda, Cloudflare Workers—extending to data pipelines, real-time streaming, and event-driven microservices. IaC: Terraform, AWS CDK, Pulumi. CI/CD: GitHub Actions, GitLab CI, ArgoCD, Jenkins. **🗄️ DATABASES & SEARCH** Relational: PostgreSQL (PostGIS), MySQL, SQLite. NoSQL: MongoDB, DynamoDB, Firebase. Vector (AI): Pinecone, Chroma, Weaviate (for RAG and semantic search). Search: Elasticsearch, Algolia, Meilisearch. Caching: Redis, Memcached. **🔗 CRM, AUTOMATION & INTEGRATION** In 2026, the CRM market is consolidating around Salesforce, Microsoft, ServiceNow, and HubSpot as a durable challenger. Both platforms have invested heavily in agentic AI, predictive intelligence, and conversational AI: CRMs: Salesforce (Apex), HubSpot (Agentic Engagement Object), Zoho. Low-Code/No-Code: Gartner forecasts the low-code market at $44.5 billion in 2026, with 75% of new enterprise apps built on low-code platforms. Automation: VBA, Excel Macros, Google App Script, Bubble.io, n8n, Make, Zapier. Citizen Development: 80% of low-code users are now "citizen developers". **🚀 Why Partner With Me in 2026?** The software industry has crossed a clear threshold in 2026. Generative AI is no longer just helping developers write code faster—it is reshaping how software is planned, built, tested, and delivered. The role of the developer has evolved from coder to curator of intent, constraints, and outcomes. **I bring:** 10+ years of battle-tested engineering across the full spectrum. Agentic AI fluency—the ability to orchestrate AI agents across the entire SDLC. Systems thinking and architectural judgment—skills that AI cannot replace. Security-first mindset—AI amplifies what's already there; where code quality is managed, AI accelerates delivery; where it isn't, it accelerates technical debt and security exposure. Whether you need an AI-native application, a microservices overhaul, an agentic workflow orchestration, or an intelligent CRM integration—I deliver professional, scalable, and governable solutions. Let's architect intelligence together. **Contact me today.**
- PHP
- Python
- Android
- Java
- C#
- C++
- C
- SQL
- Node.js
- MongoDB
- Angular
- Database
- R
- Bash
- PostgreSQL
- Excel VBA
- Assembly
- Redis
- Machine Learning
- Elasticsearch
- Continuous Integration
- TypeScript
- VHDL
- VMware
- Firebase
- Ansible
- Full Stack
- Docker
- Ionic
- React
- Data Science
- Google Cloud Platform
- Kotlin
- JavaScript
- HubSpot
- Apache Kafka
- Kubernetes
- React Native
- Material-UI
- Deep Learning
- Microservices
- Swift
- Terraform
- TensorFlow
- iOS
- Rnn
- Lstm
- Multi agent systems
- Power BI
- Linux System Administration
- Next.js
- Prometheus
- PyTorch
- Flutter
- Zoho crm
- Transfer learning
- OpenAI
- Event-Driven Architecture
- MLOps
- Astro.js
- Express.js
- AWS
- Scikit-learn
- Prompt Engineering
- Langchain
- Generative AI
- Google gemini
- Pinecone
- Weaviate
- Crewai
Kirill Erokhin
Spring Cloud tutor
US$15.00 /15 minI am a senior full-stack & DevOps developer with a track record of maintaining distributed infrastructure, recent deep experience in large-scale data pipelines and a growing skillset and interest in applied AI/LLM integration. My recent work at an e-commerce search engine startup had me building and maintaining scrapers and a data pipeline that ingested over 10M product SKUs into an OpenSearch index, which was used for hybrid vector+lexical product search, enriched with LLM signals extracted as part of the pipeline. I've used reranking techniques like RRF to enhance relevance after retrieval, and RAG/grounding for features that answered personalized user queries with recommendations grounded in real customer reviews. My earlier work was heavily full-stack and always involved infrastructure where I often built and supported systems end-to-end, very often in context of a regulated market - with great examples like Deckard (PropTech/GovTech), Sick Children's Hospital/RareConnect (Healthcare-adjacent), and Ethoca \[now MasterCard\] (FinTech). I've also led IaC initiatives at Ethoca (Chef/Ansible, in 2016-17), and even implemented IaC from scratch for two startups - Pastel Labs (Terraform automation of AWS infrastructure for a B2B SaaS and a tutoring marketplace, in 2021), and Rilara (Pulumi for AWS infrastructure of their e-commerce product, in 2025-26). My startup experience is proven track record of working independently, but I also thrive as part of a team, with most recent example of being part of Deckard's distributed remote engineering team of 25+ people spread across the US and Australian timezones. Claude Code is part of my everyday workflow, and I am happy to consider myself a relatively-older senior developer who has successfully adapted to an AI-assisted/AI-first SDLC without compromising the quality of my work. I would be very excited to continue my journey with an opportunity in healthcare or finance, where I could apply my IaC skills while continuing to explore the world of LLM applications to improve user experience in these regulated environments. Should you have any questions about any of the background I mentioned here or on the attached resume, I would be glad to answer them in an interview at a time of your convenience. Thank you!
- PHP
- Python
- Java
- C#
- Ruby on Rails
- Node.js
- Git
- Linux
- Java EE
- SharePoint
- Amazon EC2
- Amazon S3
- Elasticsearch
- OAuth 2.0
- EJB
- WebSphere
- RabbitMQ
- TypeScript
- npm
- Stripe
- OpenStack
- Twilio
- Full Stack
- Zabbix
- Es6
- React
- SAML
- Systems Programming
- Spring Boot
- IBM DB2
- Objective-C
- Apache Spark
- Chef Solo
- Apache Kafka
- React Native
- Swift
- Redux
- GraphQL
- Technical Writing
- Scala.js
- iOS
- Next.js
- Aws athena
- Kafka streams
- Aws glue
- Security software
- Functional Programming
- DevOps
- LLM
- Aws Cloudformation
- C++
- C
- Shell
- Nginx
- Linux Kernel
- Scheme
- Raspberry Pi
- Racket
- Ansible
- HAProxy
- Docker
- Google Cloud Platform
- JavaScript
- Clojure
- Kubernetes
- Terraform
- Packer
- OpenAI
- Operating Systems
- AI
- Distributed Systems Engineering
- Progress Chef
- AWS
- ChatGPT
- Google gemini
Find your personal Spring Cloud tutor on Codementor today 
Users love our Spring Cloud tutors
See the power of our Spring Cloud tutors through glowing user reviews that showcase their successful Spring Cloud learning journeys. Don't miss out on top-notch Spring Cloud training.
“Excellent Assist, ...Adrian once more was able to help me resolve the problem I was encountering with my Django / python APP. He is highly knowledgeable, I will certainly continue to employ his mentorship in the future.“
Hobby Williams / Apr 2026
Adrian Segui
Spring Cloud tutor
“Erick did a great job explaining key concepts in Flask, JavaScript, and REST APIs. His explanations were clear, structured, and easy to follow. Even in the first session, I gained a solid understanding and felt more confident applying what I learned.“
C / Apr 2026
Erick Alpizar Rivera
Spring Cloud tutor
“Salako was incredibly helpful and reassuring, answering my many questions and follow-up questions with his expertise. He really helped me weigh each option and weigh the pros and cons of each one. Thank you!“
Aaron A / May 2026
SALAKO TESLIM
Spring Cloud tutor
“Wow! I am speechless, Samir is simply the best. He is so smart and fast and knowledgeable. I have never seen such a speedy programming in my entire life. He is just born to be a developer! Really thank you for your help and support!“
vanya / May 2026
Samir Habib Zahmani
Spring Cloud tutor
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Frequently asked questions
How to learn Spring Cloud?
Learning Spring Cloudeffectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
- Understand the basics: Start with the fundamentals of Spring Cloud. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Spring Cloud, laying a solid foundation for further growth.
- Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
- Seek expert guidance: Connect with experienced Spring Cloud tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
- Join online communities: Engage with other learners and professionals in Spring Cloud through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your Spring Cloud skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Spring Cloud in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since Spring Cloud is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn Spring Cloud?
The time it takes to learn Spring Cloud depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
- Beginner level: If you are starting from scratch, getting comfortable with the basics of Spring Cloudtypically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
- Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Spring Cloud’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in Spring Cloud generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Spring Cloud, contributing to major projects, and possibly specializing in specific areas within Spring Cloud.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Spring Cloud. Engaging with new developments, tools, and methodologies in Spring Cloud is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a Spring Cloud tutor on Codementor?
The cost of finding a Spring Cloudtutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
- Tutor experience: Tutors with extensive experience or high demand skills in Spring Cloud typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
- Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
- Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Spring Cloud tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning Spring Cloud with a dedicated tutor?
Learning Spring Cloud with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
- Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Spring Cloud, but exceling in a way that directly aligns with your objectives.
- Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
- Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Spring Cloud can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
- Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
- Career guidance: Tutors can also offer guidance on how to apply Spring Cloud in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Spring Cloud in a structured, supportive, and effective environment.
How does personalized Spring Cloud mentoring differ from traditional classroom learning?
Personalized Spring Cloud mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
- Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
- One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
- Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
- Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
- Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Spring Cloud.
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