Dravin Kumar Sharma — AI Researcher

AI/ML Engineer with around 1 year of experience and focused on building, scaling, and launching self-sustaining AI micro-SaaS platforms. With over a year of experience engineering GenAI and Agentic Systems, I specialize in turning complex AI research into production-ready backend infrastructure. Currently, I engineer LangGraph/Flask multi-agent publishing engines and FastAPI-driven conversational AIs. My previous work deploying Agentic networks achieved 89% RAG accuracy and reduced manual workloads by 35% for an EdTech client. I treat infrastructure as the foundation for scalable business logic, recently building and launching a live, context-aware Email Drafting AI micro-SaaS utilizing Groq LLMs, Neon PostgreSQL, and Razorpay for monetization. Core Technical Stack:- - Languages & Frameworks: Python, SQL, Flask, FastAPI, PyTorch, Scikit-Learn, LangChain, LangGraph. - Core AI/ML Domains: Data Science, Machine Learning, Deep Learning, GenAI, Agentic AI, RAG. - Databases & VectorDB: PostgreSQL, MySQL, FAISS, ChromaDB, Pinecone, Weaviate. - Cloud & MLOps: Render, Vercel, Docker, MLFlow, MCP Servers, GitHub, Hugging Face.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with expertise in Agentic AI systems.

Location: Bhilai, Chhattisgarh, India

Experience: 2 mos