Headline

AI Engineer @ Synthiolabs (YC X25) • IIT Bombay • ex- OLA Krutrim • Qure.ai • Bosch

About

Hello! I'm Chetan Patil, a fourth-year undergraduate student majoring in Mechanical Engineering at IIT Bombay, with a dual degree in Koita Center for Digital Health. Through my internship and various other projects, I've gained valuable exposure to the fields of Generative AI, Computer Vision, Deep Learning, and Machine Learning. I have also contributed to Unmesh Mashruwala Innovation Cell, where I had the opportunity to work on Institute-level projects alongside knowledgeable seniors and enthusiastic juniors, resulting in the successful deployment of fully-fledged real-life projects. As an individual who is always looking for opportunities to grow and broaden the horizons of my thoughts, I am passionate about positively impacting society through the application of my intelligence and sciences. In my opinion, data is one of the most powerful tools, and I aspire to master the art of handling it to derive solutions. I am excited to explore new opportunities that enable me to pursue my passion and make a meaningful contribution. To connect with me drop a mail at: chetan.pat3200@gmail.com

Location

Mumbai

Work experience

Graduate Engineering Trainee at Krutrim, May 2025 - Nov 2025 · 7 mos, Bengaluru, Karnataka, India

Student Trainee at Bosch Global Software Technologies, May 2024 - Jul 2024 · 3 mos, During my internship, I developed a multi-agent system using LangGraph to automate compliance and risk assessment aligned with the EU AI Act. I performed QLoRA finetuning of the Mistral 7B model using Unsloth and applied the DPO algorithm to improve model alignment and response quality. Additionally, I constructed a hierarchical knowledge graph using GraphRAG for fine-grained reasoning, storing and managing relationships in Neo4j. The fine-tuned models were integrated as specialized agents with distinct roles for retrieval, reasoning, and compliance analysis, enabling an intelligent, cooperative framework that streamlined complex decision-making and regulatory interpretation processes.

AI Developer Intern at Ripik.AI, Mar 2024 - May 2024 · 3 mos, Remote, Implemented Raptor RAG using LlamaIndex to enable efficient retrieval from lengthy documents. Built a RAG-based chatbot with OpenAI’s Assistant API V2 and file search tool for contextual information retrieval. Designed a multi-agent system with AutoGen, integrating specialized agents for retrieval, data analysis, and graph generation. Developed a Streamlit app for Q&A over video by transcribing input with OpenAI Whisper. Additionally, created RESTful APIs using Django, containerized with Docker, integrated with PostgreSQL, and deployed the application on AWS EC2—gaining hands-on experience in scalable backend development, cloud deployment, and end-to-end AI system engineering.

InstiGPT AI Engineer at AI Community, IIT-Bombay, Dec 2023 - Mar 2024 · 4 mos, As part of the InstiGPT AI Community at IIT Bombay, I collaborated in a team to develop a RAG application using LangChain and Google Gemini on IIT Bombay–related data. I scraped and processed web data using BeautifulSoup and Selenium, generating text embeddings with the nomic-embed-text model. These embeddings were stored in pgvector, with retrieval optimized through chunk size tuning and sliding window chunking. I built RESTful APIs with streaming responses using FastAPI and deployed the application via Docker. Additionally, I enhanced API performance and reliability by integrating Redis for rate limiting and response caching, ensuring smoother, scalable performance.

Education

Dual Degree (B.Tech + M.Tech), Mechanical Engineering, Koita Center for Digital Health, Indian Institute of Technology, Bombay

Ryan International School, Navi Mumbai