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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.**
Software Engineer with 15 years of experience taking full technical ownership of cloud-native SaaS products - from architecture decisions through production. Background spans Node.js backends, React frontends, AWS infrastructure and multi-client platform design at scale. Founder and founding engineer background means that autonomy, levelling up teams, and shipping fast are defaults, not exceptions. Known for turning fragmented or struggling systems into clean, scalable foundations that others can build on.
# 👋 How Do I Help? Just like a good doctor with a patient. I listen carefully, analyze deeply, and work toward the best solution. When mentoring, I approach with extra care, empathy, and patience. --- # ⚖️ My Work Ethic - **Honesty first**: No false promises, no wasted time. - **Client satisfaction matters most**: I only accept payment when clients are happy with the outcome. --- # 🔗 Find More Details - **LinkedIn**: [linkedin.com/in/rctushar07](https://www.linkedin.com/in/rctushar07) --- # 🌟 Why Choose Me? - **6+ years** in Full-Stack, Cloud & Data Engineering within the tech industry - Contributed to **5 industrial projects**, collaborating within large teams - **10 years of coding experience** and **2000+ competitive programming problems solved** - **10 LinkedIn recommendations** from international clients & teammates - **100+ aspiring professionals mentored** throughout my journey - Featured as **Top Full-stack Python Developer** in Prog.AI Analysis 👉 [Prog.AI Feature](https://www.linkedin.com/posts/prog-ai-hiring_python-python3-javascript-activity-7296196512563257345-Fx11) --- # 🎯 What Do I Offer? ## 💻 Development Services - **Web apps** using Django, Flask, FastAPI, React, NextJs - **N8N Automation** - **Cloud infrastructure development** & serverless apps - Database design & **performance optimization** - Troubleshooting & debugging with clear communication - **Data Engineering** & ETL pipelines - Web scraping, data collection, and visualization - Data ingestion, processing, and transformation for analytics - Workflow automation with **Python scripts** - Custom **Python libraries** & reusable Django apps - Third-party API integration (Stripe, social media, etc.) ## 👨🏫 Personalized Mentorship - Guidance for college/university projects & assignments - Short & long term mentorship on **backend, cloud, or data engineering** - Live **1:1 resume review** - Mock **DSA coding interviews** - Code reviews with professional insights - Project planning & management guidance (methodologies, challenges, team dynamics) - Advice on handling **stress & challenges** at work (deadlines, communication, disagreements, etc.) ---
Expert in Gen AI, LLM, Chatbots, Java, Go, Android, OS, Shell scripting, AWS, Spring Boot, JavaScript, TypeScript, NodeJS. I have worked with Java, built microservices using spring boot. I have experience in building services using NodeJs, typescript. I have developed chatbots using **LLM and retrieval augmented generations.** I am also a mentor, I like the process of mentoring, as both mentor and mentee learn in the process, through mentoring, I accelerate my learning because there is always something that you learn or re-learn during mentoring.
I want to share the experience which I've gained during the last 15 years of production software development, so more great engineers will be available on the job market.
Thrived in start-up environments and teams that do battle daily for product and customer success. I have successfully designed and built systems in various landscapes, industries, and infrastructures.
Administration of Linux servers focused on automation, using famous technologies in the market, such as Chef, Ansible, ELK, Jenkins, Docker, Python, Golang and etc. Proven experience in a critical environment with DR, multi-center cluster orchestration and easy scheduling. Good practices like 12factor, mindset like Devops and squad work. My resume is on LinkedIn: https://www.linkedin.com/in/wvoliveira/ \*Resume in portuguese :(
Experienced Full Stack & Blockchain & AI/ ML Developer with 10+ years of success building decentralized, real-time web applications and optimizing legacy systems. Specialized in EVM smart contract development, crypto payments, and Web3 integrations (Metamask, WalletConnect, Coinbase Wallet). Also Specialized in LLMs (GPT-4, LangChain, Haystack), RAG pipelines, and intelligent agent workflows. Proven track record in modernizing codebases, scaling blockchain infrastructure, and enhancing UI/UX fsor Web3 ecosystems. Adept at Solidity, Node.js, Golang, React, and cloud-native DevOps. Passionate about revolutionizing digital experiences in music, finance, and identity through blockchain..
Software Architect and Fullstack Engineer with **deep expertise** in AWS **cloud-native solutions**. Experienced in designing and delivering scalable **serverless** applications, **containerized** workloads, and **data pipelines** that drive **performance** and **measurable** business impact. Recognized for a **craftsman approach** to software engineering and a commitment to continuous learning and innovation.
Engineer with 15+ years of multifaceted experience as SRE, DevOps, SDET Tools expertise: Cloud: AWS, GCP IaaC tools: Terraform Container Orchestration: Kubernetes, Openshift, Docker Package mgmt: Helm, Kustomize Logging tools: Splunk, ELK Monitoring tools: Prometheus, Dynatrace, NewRelic, Datadog Streaming/Messaging: Kafka, RabbitMQ Source Control: Git CI: Jenkins, Gitlab CI, Github Actions CD: ArgoCD Automation : Selenium, RestAssured, Appium, Cucumber, Protractor, Pact, Ginkgo, Citrus Framework Performance: Jmeter, Vegeta, Locust, Bombardier Security: Zap proxy, Checkmarx, Fortify, srcclr Unit Testing: Junit, TestNG, MSTest, NUnit Build tools: Cargo, Gradle, Maven, MSBuild, Gulp Dependency Mgmt: Go mod, npm, Pip, maven
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