Yash Dewalkar
AI Engineer with hands-on experience developing Generative AI, RAG, LLM fine-tuning, Agentic AI, and Machine Learning solutions
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About
AI Engineer with hands-on experience developing Generative AI, RAG, LLM fine-tuning, Agentic AI, and Machine Learning solutions using Python, LangChain, LangGraph, Hugging Face, Qdrant, and PyTorch. Experienced in building production-oriented AI pipelines, semantic retrieval systems, LLM evaluation workflows, and REST API/Streamlit applications
Experience
Data Science Associate Intern - Darwinbox
(2023-09 - 2024-09)
- Evaluated and quality-validated 500+ LLM-generated responses from Llama2 and Mistral for relevance, factual consistency, and response quality.
- Implemented a Retrieval-Augmented Generation (RAG) pipeline for the Ask Darwin chatbot, improving retrieval relevance by approximately 12% through retrieval and prompt optimization.
- Conducted systematic LLM response evaluation and retrieval improvements, contributing to an estimated 15% reduction in incorrect or unsupported responses.
- Cleaned and pre-processed 20,000+ HR records for machine-learning model development, including missing-value treatment, feature preparation, and data-quality validation.
- Collaborated with cross-functional teams to design an Employee Attrition Prediction Model using machine learning techniques.
Education
Bachelor of Engineering - Rajiv Gandhi College of Engineering & Research (2021) Nagpur, India
Post Graduate Program - Artificial Intelligence and Machine Learning - Great Learning (2022 - 2023)
