AI Engineer | Generative AI Specialist | ML Engineer
I'm a passionate AI engineer with expertise in building production-grade generative AI applications, leveraging cutting-edge LLMs, RAG systems, and agentic AI frameworks. I specialize in designing scalable AI solutions and contributing to innovative open-source projects.
- 🎓 B.Tech in Artificial Intelligence & Data Science
- 💼 Trainee Engineer (AI & Software Development) at Amantya Technologies
- 🚀 Building enterprise-grade AI applications with LLMs, RAG, and Agentic AI
- 🔧 Expert in FastAPI, Python, and distributed systems
- 🌟 Active open-source contributor (Agenta, MLflow, Dify)
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| Domain | Expertise | Tools & Frameworks |
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| Generative AI | LLM Integration, Prompt Engineering, Fine-tuning | Claude, Gemini, ChatGPT, OpenAI |
| RAG Systems | Semantic Search, Vector Databases, Context Retrieval | Qdrant, Pinecone, LangChain |
| Agentic AI | Agent Design, Tool Integration, Reasoning Loops | AutoGPT, LangChain Agents, MCP |
| NLP | Text Processing, Embeddings, NER | Hugging Face, NLTK, spaCy |
| Computer Vision | Image Classification, Face Recognition, Object Detection | OpenCV, TensorFlow, CNN |
| Machine Learning | Supervised Learning, Unsupervised Learning, Model Optimization | Scikit-learn, XGBoost, LightGBM |
📦 DevForge-MCP - Production-Ready Model Context Protocol Server
AI-powered MCP server enabling language models to understand and interact with local repositories through intelligent semantic code retrieval, repository indexing, and contextual search capabilities.
Tech Stack:
Key Features:
- 🔍 Semantic code retrieval with AI understanding
- 📑 Comprehensive repository indexing
- 🎯 Context-aware code search
- 🏗️ Production-grade architecture
- 🐳 Full Docker containerization
🔍 OpsLens - AI-Powered RAG Incident Investigation Assistant
Enterprise-grade incident investigation platform leveraging RAG (Retrieval-Augmented Generation) with Google Gemini, vector search, and JWT authentication for secure incident analysis and resolution.
Tech Stack:
Key Features:
- 🤖 Advanced RAG with semantic search
- 🔐 JWT-based authentication
- 📊 Vector database integration (Qdrant)
- 🚀 FastAPI backend
- 🔗 LLM-powered incident analysis
🎭 AI Interview Fraud Detection - Computer Vision-Based Liveness Detection
Advanced computer vision system detecting interview fraud through face recognition, liveness detection, and behavioral analysis using deep learning models.
Tech Stack:
Key Features:
- 👤 Face recognition and detection
- 👁️ Liveness detection algorithms
- 🔍 Behavioral anomaly detection
- 🧠 CNN-based deep learning models
- 📹 Real-time video analysis
📊 Customer Behavior Analysis - ML-Based Customer Intelligence Platform
Comprehensive customer analytics platform leveraging machine learning to analyze purchasing patterns, behavioral trends, and generate actionable business insights.
Tech Stack:
Key Features:
- 📈 Advanced data analysis and visualization
- 🎯 Customer segmentation models
- 📊 Trend analysis and forecasting
- 🔗 SQL-based data pipelines
- 📉 BI dashboards and reporting
Amantya Technologies
- 🤖 Developed and deployed production-grade generative AI applications
- 📱 Built scalable REST APIs using FastAPI and Python
- 🔗 Implemented LLM integration and prompt engineering workflows
- 🧠 Designed RAG systems with vector database integration
- 🏗️ Architected agentic AI solutions for enterprise automation
- 🐳 Containerized applications using Docker
- 🔄 Optimized backend systems for performance and scalability
Actively contributing to leading AI/ML open-source projects with multiple merged contributions:
| Project | Role | Contributions |
|---|---|---|
| Agenta | Contributor | LLM evaluation framework enhancements |
| MLflow | Contributor | ML experiment tracking improvements |
| Dify | Contributor | AI workflow orchestration features |
✅ Multiple contributions merged and deployed in production
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🚀 Working On:
- Advanced Generative AI Applications
- LLM Integration & Fine-tuning
- RAG System Architecture
- Agentic AI Development
- FastAPI Backend Optimization
📚 Learning:
- Multi-Agent Systems
- Advanced Prompt Engineering
- LLM Inference Optimization
- Production ML Systems
🔭 Exploring:
- Edge AI and TinyML
- Autonomous AI Agents
- Vector Database Optimization
- Real-time ML Systems
✨ Goals:
- Contribute to more open-source AI projects
- Build production-grade AI solutions
- Advance the state-of-the-art in GenAI
🤝 Let's Connect & Collaborate
I'm always open to:
🔗 Collaborating on innovative AI/ML projects
💬 Discussing generative AI and LLM architectures
🤝 Open-source contributions
📧 Professional opportunities