NITHIN G

Information Science and Engineering student at JSS Science and Technology University with a focus on artificial intelligence and machine learning. Achieved first place in IIM Mumbai’s GenAI Visionaries case study competition by fine-tuning large language models for business solutions. Currently enrolled in Generative AI for Data-Driven Business Decision-Making course at IIM Mumbai, enhancing skills in AI applications and backend development using FastAPI and MongoDB. Strong foundation in Operating Systems and Computer Networks, complemented by participation in AIML-focused hackathons.

• Python 101 for data science – focused on using Python for practical data analysis and scientific computing
• Intermediate machine learning – expanded on feature engineering, handling missing data, model tuning, and ensemble methods
• Intro to deep learning – introduced deep neural networks, optimization techniques like SGD, dropout, and batch normalization
• Generative AI for data-driven business decision-making (IIM Mumbai) – explored real-world applications of generative AI in solving business problems, with hands-on case studies, and LLM fine-tuning

Earnings Call Analyzer – Built using fine-tuned LLMs, GPT-2, and multi-step reasoning via LLaMA. Deployed using Streamlit for interactive analysis of financial transcripts.

FoundIt – AI-powered campus lost & found portal. Implemented user/item systems, role-based access, and MongoDB backend with FastAPI. Designed to be mobile-friendly.

GroupGo – Smart carpool-matching system built for an algorithm design showcase. Developed an efficient matching algorithm to optimize shared rides based on route similarity and timing preferences.

• I recently secured first place in IIM Mumbai’s GenAI Visionaries case study competition, where I fine-tuned large language models to solve business problems