
Anuj Sharma
@anujsharma8
I build high-precision RAG systems and end-to-end machine learning pipelines.
What I'm looking for
I've built production-oriented AI systems including MediPulse AI, a hybrid RAG pipeline that combines Google Gemini embeddings, Qdrant Cloud, BM25, and Reciprocal Rank Fusion for precise information retrieval. I engineered its asynchronous FastAPI backend with LangChain, Groq API streaming, multilingual NLP preprocessing, domain guardrails, and Docker-based microservices.
For AutoValue ML Pipeline, I developed an end-to-end vehicle price prediction system using Scikit-Learn and XGBoost that achieved an R² score of 0.967. I build reliable feature pipelines, benchmark models through cross-validation, serialize models with Joblib, and deploy interactive applications through Streamlit, Render, and GitHub Actions CI/CD.
Experience
Work history, roles, and key accomplishments
Lead AI Engineer & System Architect
MediPulse AI
Jul 2026 - Aug 2026 (1 month)
Architected a high-precision hybrid RAG pipeline combining dense vector search with sparse keyword search, optimized via Reciprocal Rank Fusion. Engineered an asynchronous backend with FastAPI, LangChain, and Groq API for real-time token streaming and multi-turn conversational state tracking.
Education
Degrees, certifications, and relevant coursework
Govt. Holkar Science College
Bachelor of Computer Applications, Computer Applications
Pursuing a Bachelor of Computer Applications with an expected graduation in July 2027.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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