A passionate Generative AI / Machine Learning Engineer with a solid foundation in LLMs, NLP, Computer Vision, and backend deployment. I thrive on building intelligent systems that drive real-world impact, from fine-tuning language models to deploying production-ready APIs.

• 💼 Currently working as a Generative AI Engineer at Logixsy Technologies.
• 🤖 Building cutting-edge chatbots with LLMs, LangChain, Crew.ai, and vector databases.
• 📦 Deploying models via APIs, integrating them into full-stack systems.
• 🧠 Always exploring the latest in LLMs (like LLaMA 3), prompt engineering, and MLOps.
• 🌱 Learning more about scalable model serving and efficient fine-tuning techniques.

Languages

AI/ML

Tools & Libraries
Huggingface, FastAPI, LangGraph, CrewAI, OpenCV, Scikit-learn, Pandas, Numpy
Databases
PostgreSQL, MongoDB, ChromaDB, Qdrant, Pinecone
DevOps
Docker, Kubernetes, GitHub Actions
Other
Streamlit, Chainlit, HTML/CSS, JavaScript, REST APIs

• Shelf-DeTech – Real-time inventory management system using YOLOv8, PGNet, and CRAFT for slot detection and product classification.
• ML Transfer Agent Prediction – Extracted named entities from SEC filings and predicted missing agents using clustering & NER.
• Liqueous AI Assistant – GenAI-powered assistant for financial services built with LangChain + CrewAI.
• SQL-Chatbot Interface – Natural language to SQL chatbot using Streamlit, FastAPI, and vector DBs.
• Reitbuzz News Generator – Multi-topic news generator with Strapi + SerpAPI.
• LLama 3 CodeGen – Fine-tuned LLama 3 for Python & Java code generation tasks.

📧 [email protected]
🔗 GitHub

“The future belongs to those who build it—one prompt, one model, one deployment at a time.”