Open to opportunities

Himank Yadav

@himankyadav

Message

I'm building AI assistants, RAG systems, and production ML APIs.

India

Message

What I'm looking for

I'm looking to build practical AI and ML products, especially LLM, RAG, NLP, and real-time inference systems, while growing through hands-on engineering work and collaborative problem-solving.

I'm building production AI systems, including Lex Oracle, a RAG-based legal assistant that indexes 1,000+ legal documents and provides cited precedents, outcome predictions, and a streaming chatbot experience. At Global AI Technologies, I've engineered Python data preprocessing pipelines for 50,000+ records, reducing preparation time by about 40%, and deployed FastAPI APIs for real-time ML inference.

I've also built a local voice-to-voice AI companion, implemented neural networks and a GPT-2-style byte-level BPE tokenizer from scratch, and earned a Best Paper Award for research on AI agents in the legal domain. I enjoy turning LLM, NLP, and machine learning concepts into practical, explainable products.

Experience

Work history, roles, and key accomplishments

Current

Intern

Current

Global AI Technologies

Jan 2026 - Present (8 months)

Engineered end-to-end data preprocessing pipelines using Python (Pandas, NumPy) to clean and transform 50,000+ record datasets, reducing data preparation time by ~40%. Developed and deployed RESTful APIs using FastAPI to serve ML model predictions, enabling real-time inference.

Python Pandas NumPy fastAPI REST APIs data preprocessing Machine Learning