Harshit Preetam R

Designed and deployed end-to-end AI/ML pipelines in Python, covering data preprocessing, feature engineering, model training, validation, and production inference services. Optimized transformer-based and deep learning models to improve accuracy, reduce inference latency, and enhance scalability. Designed LLM-powered RAG workflows integrating embeddings, retrieval logic, and structured prompting. Built modular FastAPI-based AI microservices with structured logging, validation, and background task handling.

Awarded 1,00,000 merit scholarship in the first year of B.Tech.