Open to opportunities

Shrish Singh Thakur

@shrishsinghthakur

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I build RAG systems, knowledge-graph retrieval, and leakage-safe machine learning data pipelines.

India

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What I'm looking for

I'm looking to build reliable AI and ML products, particularly RAG systems, retrieval pipelines, knowledge graphs, and data workflows where validation and results integrity matter.

I've built a RAG-based HR policy assistant for Atom HR at Floww APIs, covering document ingestion, section-aware chunking, vector search, FastAPI APIs, and context-constrained LLM responses.

My projects include Gitlore, a temporal knowledge graph for Git repositories that combines graph traversal, BM25, vector search, and cross-encoder reranking to answer questions from commit and pull-request history. I also built SensorLens, an anomaly-detection backend with cached FastAPI results and LLM-generated explanations.

For SENTINEL, I'm building a leakage-safe MIMIC-IV ETL and ML training pipeline with BigQuery, SQL, PyTorch, and pytest-based temporal integrity checks. I care about results integrity and validating claims before technical review.

Experience

Work history, roles, and key accomplishments

AI/ML Engineer Intern

Floww APIs Pvt. Ltd.

Jun 2026 - Jul 2026 (1 month)

Built a RAG-based HR policy assistant prototype for Atom HR, including document ingestion, section-aware chunking, and vector-based semantic search. Developed FastAPI REST APIs for document ingestion and chatbot interaction, and iterated on prompt engineering to reduce hallucinated answers.

RAG fastAPI REST APIs Prompt Engineering Vector Search LLM Python

Education

Degrees, certifications, and relevant coursework

PES University

Bachelor of Technology, Computer Science (AI/ML Specialization)

2023 -

Pursuing a Bachelor of Technology in Computer Science with a specialization in AI/ML, focusing on machine learning, artificial intelligence, and software engineering.