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**📝 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.**
I have a great passion for solving problems and can help people with various programming languages, databases, information systems, software related projects.
Hi, I’m a senior developer and AI engineer with 7+ years on Codementor, rated 5 stars across 93+ reviews. I specialize in AI Agents Development and Security, Python, Gen AI/ML, computer vision, automation, and full-stack development. I focus on practical, scalable solutions — from debugging tough issues to building complete systems. I’m passionate about autonomous agents and their safety, and efficient system design. Latest AI agent app - IntentFrame You can also visit my GitHub(@maniotrix) to know more about my latest ai product development capabilities. If you need sharp technical help grounded in real-world experience, I’m here to help.
I'm a **Senior .NET & AI Architect with 21+ years** of experience helping developers, startups, and engineering teams solve difficult technical problems. Whether you're a beginner using AI to build software ("vibe coding") or an experienced developer building enterprise applications, I can help you move faster using modern AI tools like **Claude, Cursor, ChatGPT, GitHub Copilot, and Gemini, Antigravity**. **I can help with:** - Blazor Server & WebAssembly - ASP.NET Core & .NET - ASP.NET ZERO AND ABP Framework - C# debugging and performance optimization - AI Agents & LLM integrations - Claude Code, ChatGPT, GitHub Copilot workflows - Semantic Kernel, LangGraph & Model Context Protocol (MCP) - Entity Framework Core & SQL Server - Architecture reviews - Code reviews and pair programming - Bug fixing and production issues - Azure deployment & CI/CD My mentoring style is practical and hands-on. Whether you're fixing a production bug, building an AI-powered application, or trying to get Claude to generate better code, we'll identify the root cause, solve the problem together, and make sure you understand the solution. If you're stuck, let's get you unstuck.
**Who I Am AI Engineer specializing in LLM-powered applications and agentic AI systems. Strong background in multi-agent AI, intelligent automation, and cross-industry AI deployments. **What I Build 1. Agentic AI Systems 2. Multi-Agent AI Platforms 3. LLM Integrations 4. Custom AI Agents **Tech Stack & Skills Languages: Python, JavaScript (Node.js), TypeScript Frameworks: LangChain Cloud & Deployment: AWS, Azure, GCP, Docker Databases: PostgreSQL, MongoDB Other: API development, prompt engineering, RAG **Full Stack Development:** **Mobile App Development** (Native/Cross-Platform iOS/Android Apps) **Technologies / Languages I can work with are:** JavaScript Frameworks: Angular Node React Nuxt Next Nest Vue & other.. TypeScript Full Stack / Mean Stack / Mern Stack / .Net FullStack .NET Core Flutter DevOps Generative AI AI ML LLM UI UX Design - Figma, Adobe XD, Photoshop WordPress AWS / Azure / Heroku Native App Development Cross platform Applications Server Management Hosting / Deployment Database Management (MySQL, Postgres, MongoDB) Git, Jest, MaterialUI Infra: Terraform, AWS, Kubernetes, Docker, Github Actions, Jenkins, CircleCI TDD -->> 10+ years of experience in Development / Providing Customized Generative AI powered Solutions / Consultations work and have worked for everything from small business to unicorn startup. **WHAT I AM LOOKING FOR** Opportunity to collaborate with startups who are in search of a partner to build their ideas; with enterprises to transform their operations into impact-full solutions.
Hello! If you need help with game development, I'm here to help you find (and learn) effective techniques and solutions for your projects. As a mentor, I can help you with **Technical Guidance** (assistance with coding, debugging, optimization), **Design Insights** (feedback on mechanics, level design, UI), **Asset Advice** (guidance on using time-saving assets/tools), and **QA** (thorough testing and bug tracking), among other topics. I can answer questions on topics such as **Development Challenges** ("How can I optimize my game for better performance?"), **Design Decisions** ("How to improve the game UX?", "What mechanics can make my gameplay more engaging?"), and **Troubleshooting** ("Why is my game crashing on startup?", "Why is my game build failing?", "How do I fix this bug in my C# code?"), among other topics. --- Game and Software developer since 2010. I have 10+ years of experience with Unity, C#, and Game Design. I also have experience with Unreal Engine, Level Design, 3D Modeling, and Mobile Development. I developed games for PC and Android. My background includes working on: ● SAK'D (2D metroidvania game, demo released on Steam) ● NekoSuki! ~ Kitty Love Adventure (action-adventure game, in development) ● Time Master (puzzle-platformer game, released on Steam) ● Baneville (an educational game for Brazilian schools) I have knowledge and experience with: ● Unity, C#, async-await (UniTask), advanced programming concepts ● Unreal Engine 5, Blueprints, C++ ● Godot Engine, RPG Maker, GameMaker, Ren'Py ● Game Design, Level Design, UI Programming, Game Optimization, QA ● Unity Addressables, Timeline ● Third-party assets and plugins: Platformer Project, Corgi Engine, ORK RPG Framework, Game Kit Controller, World Streamer 2, DoozyUI, RealtimeCSG, Rewired, Animancer, RealToon, Dialogue System for Unity, MicroSplat, MicroVerse, etc. ● Blender, VRoid Studio (3D Modeling, Rigging, Skinning, Animation) ● Photoshop, Krita, GIMP (Texturing, Image editing) ● Wwise Audio Middleware ● Generative AI: Stable Diffusion, ComfyUI, SwarmUI, NovelAI ● Mobile Development: Android (native), iOS (native), Flutter, Xamarin, Xamarin.Forms ● Kotlin, Swift, Dart, Java, Python
Most of my work for customers is around solving complex business problems through people and technology. Expertise in Front-end user interfaces, interactions through back-end APIs and servers, middleware, data storage and integration Strong experience in ASP.NET Core development.
● AI Powered development using Javascript and its frameworks/libraries like Angular, React, Next.js, Express, Node, Express, mongodb, mongoose etc. ● AI agents, prompt engineering, RAG, MCP servers, vibe coding. ● Full stack development in next.js including frontend, backend and databases. ● Architecture projects from scratch as well as building new features in existing projects. ● Debug and fix errors in existing projects. ● Database architecture using mongodb, postgres, ORMs like prisma and drizzle. ● Implement the best practices of code structure, logic building and making code efficient. ● Follow pure Object Oriented Programming and Data Structures for solving problems. ● REST API development using node and its frameworks (mainly express). ● Know best practices of writing test cases (it includes unit testing and automation testing). ● Decision making in choosing programming languages, frameworks and libraries for a particular project. ● Good communication skills and understanding client requirements. ● Do research and development to stay up to date with new technologies and always keen to adopt better approaches in solving any kind of problem. ● Experience in CI/CD, docker, github actions etc. ● Teaching experience for over 5 years now. These are some projects I have worked on: https://learnwith.flashclass.io/ https://www.getconch.ai/ https://eahousing.es/ https://www.blackbox.ai/ https://unation.com/
An AIML Engineer having 7 years of experience skilled in Machine Learning , Deep Learning , Statistics , problem-solving and programming . I have deep knowledge of several languages and Library such as Python(Keras , Scikit-Learn, pandas, Numpy etc) . I have worked on Classification , Regression , Deep Learning , Gen-AI and CNN projects. Mentoring to the new joiner in my project and taking cross-skilling session after every quarter. During my journey , I successfully combined my studies with work and other commitments showing myself to be self-motivated , organised and capable of working under pressure . I have a clear , logical mind with a practical approach to problem-solving and drive to see things through to completion .
AWS Certified Solutions Architect and MLOps / DevOps Engineer with over 9 years of experience designing, deploying, and operating secure, scalable cloud and AI-driven platforms across AWS and Azure. Proven expertise in containerization and orchestration with Docker and Kubernetes (EKS, AKS, OpenShift), enabling high-availability, multi-cluster deployments and large-scale application modernization. Strong background in building end-to-end CI/CD pipelines using GitHub Actions, Terraform, and Helm to drive automation across infrastructure, application delivery, and machine learning workflows. Extensive hands-on experience in Python development, building production microservices with FastAPI and Flask, designing robust API architectures, and supporting real-time applications with WebSockets and streaming frameworks. Skilled in establishing MLOps pipelines, deploying and monitoring ML models in production, and optimizing GPU-based workloads for performance and cost efficiency. Experienced with vector databases, embedding-based systems, and large-scale PostgreSQL environments. Deep understanding of cloud security, observability, and disaster recovery planning.
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