Yash Yadav
LLM Engineer at Rahee AI
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolYash Yadav is an LLM engineer and founder with 5 years of experience building production-ready GenAI systems and vector search platforms from Bengaluru. He has led end-to-end ML products—RAG agents, vector search for image/video retrieval, and content-generation pipelines—delivering large efficiency gains (e.g., a 90% content development cost reduction) and high accuracy in handwriting recognition projects. At Rahee AI he focuses on LLM systems ops and evaluations, and previously built an LLM agent framework at dot.agent using LangChain/LlamaIndex and multiple VectorDBs. Comfortable across the stack, he has hands-on experience with React Native, FastAPI, AWS serverless, CI/CD, and model fine-tuning (Llama-2-7B) for retrieval tasks. A space and AI enthusiast, he links pragmatic product engineering with long-term thinking—whether optimizing apps or pondering responsible lunar resource use. Trained as an electrical engineer from NIT Jamshedpur, he blends hardware-aware rigor with modern ML tooling and product delivery.
5 years of coding experience
4 years of employment as a software developer
Bachelor of Technology Electrical and Electronics Engineering, Bachelor of Technology Electrical and Electronics Engineering at National Institute of Technology Jamshedpur
Github Skills (20)
fullstack-development9
fastapi7
agent7
python7
streamlit6
autogpt6
sqlmodel6
pydantic5
gpt5
openai5
ai5
llm4
mlops4
agi4
llmops3
Programming languages (3)
Github contributions (5)
Spartificial/yt-acad-projs
Sep 2022 - Feb 2023
Contributions:27 commits, 25 pushes, 1 branch in 5 months
Spartificial/ttt-on-spartificial
Nov 2021 - Jan 2024
Contributions:1 release, 17 pushes, 1 tag in 2 years 2 months
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