AI/ML Engineer | RAG & Agentic AI | LLMs

• Masters in Data Science from Monash University (Distinction), and B.Tech in Information Technology from Manipal University Jaipur.
• Focused on LLMs and Generative AI: RAG pipelines, LLM fine-tuning, and agentic AI systems, with a particular interest in AI agents.
• Built PitWall: An end-to-end natural-language F1 analytics agent, and FieldMedic: A RAG-based clinical decision support system.
• Co-authored a review paper on AI in solar energy processes, published at IEEE I2CT 2022.
• Currently seeking full-time opportunities building production-grade AI systems.

• Designing and hardening agentic AI pipelines: planning, tool-calling, and failure recovery.
• Building RAG systems with vector search (pgvector, FAISS, Pinecone) and structured LLM reasoning.
• Backend engineering with FastAPI and PostgreSQL for AI-powered applications.
• Exploring MCP servers and multi-agent orchestration (CrewAI).

AI-powered F1 race analyst (Next.js, FastAPI, PostgreSQL). LLM-generated SQL is validated with sqlglot and executed under a read-only role across 16 tables. On-demand ingestion runs background jobs that fetch session timing data in 20s–2 min, with a partial unique index preventing duplicate jobs. Exposes 15 REST endpoints, backed by 1,129 tests and fact-checked AI race reports.

Natural-language car search for Forza Horizon 6 (FastAPI, LangChain, Supabase PostgreSQL). LangChain extracts Pydantic-validated filters that a deterministic builder compiles into parameterised SQL over 635 cars, with a rule-based fallback. OpenTelemetry tracing cut page load from 1300ms to 180ms by batching 14 database round trips into 2. Exposes 9 REST endpoints, backed by 132 tests.

RAG-based clinical triage system (FastAPI, Streamlit, PostgreSQL/pgvector, Gemini). Semantic retrieval over 300+ medical knowledge chunks using Sentence Transformers, combined with an AI agent pipeline for structured triage recommendations. Containerized with Docker Compose across 3 services and 4 REST API endpoints.

A Comprehensive Survey on the Role of Artificial Intelligence in Solar Energy Processes — 2022 IEEE 7th International Conference for Convergence in Technology (I2CT)

• Email: sandeep.workmail24@gmail.com
• LinkedIn: Sandeep Kumar
• My Website

Programming

Python SQL

Machine Learning

NLP Computer Vision Deep Learning Reinforcement Learning

Gen AI

LangChain Prompt Engineering RAG Agentic AI MCP Server CrewAI OpenTelemetry

Backend

FastAPI REST APIs

Databases & Cloud

PostgreSQL MongoDB MySQL FAISS AWS Docker Git Vercel Railway

AI Engineer LLM Engineer Agentic AI RAG Prompt Engineering Data Science Python FastAPI PostgreSQL Machine Learning