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Seasoned Web Developer and Blockchain enthusiast with a proven track record in the IT and services industry. Expertise in Research, PHP, HTML, JavaScript, and Blockchain development, including Smart Contracts. Skilled in automation, application testing, and cybersecurity analysis for web and mobile apps.
**📝 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 am a **Multi-talented** professional adept in **Full Stack Web Development**, **Web Security Research**, and **Robotics Engineering**. As a dedicated Web Security Researcher and ethical hacker, I uncover vulnerabilities and mitigate security risks, bridging the gap between development and cybersecurity. Additionally, as a Robotics Engineer, I design and build sophisticated robotic systems, applying my deep understanding of mechanics, electronics, and programming. Passionate about crafting clean, scalable code and innovative robotics solutions, I contribute to projects that prioritize both robust development, cybersecurity practices, and cutting-edge robotic technology.
**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.
🏆 Full-stack engineer, Python and TypeScript/JavaScript, 20+ years building production software 🤖 Specialized in applied AI: LLM agents, RAG systems, and voice assistants that run in production, not just in a demo Tired of AI demos that wow everyone in a screen-share, then fall apart the first time a real user touches them? Or "cutting-edge" prototypes you end up babysitting that never quite reach production? That's the gap I close. I treat AI features as real software, not a wrapped API call: eval sets before anything ships, logging you can actually debug, model routing to keep the bill sane, and a human in the loop wherever a wrong answer is expensive. Whether you need an LLM agent, a RAG pipeline over your own data, a voice assistant, or the full web app around it, I build the version that still works after the demo is over. 👨💻 Core skills and technologies: \- AI and LLM: OpenAI/GPT, Claude, Gemini; RAG (hybrid search, custom embeddings); agents, tool-calling, structured outputs; eval harnesses; prompt caching; fine-tuning \- Voice: Deepgram, Twilio, real-time STT → LLM → TTS pipelines \- Backend: Python, Django, FastAPI, Node.js (Express, NestJS), Celery, PostgreSQL, Redis \- Frontend: TypeScript, React/Next.js, Svelte/SvelteKit, Vue/Nuxt \- Cloud and infra: IaC, AWS, Cloudflare, Docker, CI/CD \- Generative media: image and video generation, both hosted (Nano Banana, GPT Image 2, Seedance 2) and self-hosted open-source (Qwen-Image, Wan) in ComfyUI with custom LoRA training Send me a few lines about what you're building and where it's stuck, and I'll tell you straight what it'll take. 📩
I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.
I have 10 years exp in Python, MySQL, GoLang, Data Science. I have rich experience in developing frameworks in scratch using Pytest and unitest. I am very passionate about coding and having good knowledge of data structures and algorithms
Passionate teacher and mentor with over 6 years of professional experience. I have done Ph.D. in Mathematics and a certificate diploma in Data science. My expertise areas are - Python, R, Tensorflow, Tableau, Superset, ETL tools, Discrete Mathematics, and Modelling. My strength is my way of interacting with my students and helping them in solving their doubts and problems. Since I am following my passion in my carer, I aspire to help more people on this platform as well.
If you are looking to learn about and implement machine learning, then I will be a great tutor for you. I have helped many students understand the key concepts of machine learning, provided hands on programming lessons and assisted with coursework. There’s nothing more rewarding than seeing my students grow in confidence and ability, and I’m excited to be a part of your journey.
Senior Data Scientist with expertise in machine learning, natural language processing, information retrieval, and data engineering. Extensive experience in developing advanced algorithms and solutions across various industries. And, years of tutoring experience!
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