nithya04blr@gmail.com

NITHYASHREE R

LLMs & FINE-TUNING | VISION AI | FULL STACK DEV

BASED IN BENGALURU, INDIA

Create, Refine, Repeat - The Standard is perfection.

I'm Nithya,

I’m a computer science engineering student who loves building smart, high-impact software and turning ideas into real products. I work with Python, Java, AI/ML, and full-stack technologies and I enjoy solving problems that challenge both logic and creativity. I learn best by building through projects and hands-on experimentation where I focus on writing clean code and designing solutions that actually scale. I’m driven, curious, and always pushing myself to grow beyond what I already know. I thrive in collaborative environments, adapt quickly to new tools and tech, and take ownership of what I build. Right now, I’m focused on sharpening my skills, creating meaningful products, and making an impact through technology, one solid project at a time.

Key Milestones...

2022 - 2026

Dr. Ambedkar Institute of Technology

B.E. in Computer Science & Engineering (cgpa: 9.2)

2020 - 2022

BASE PU College

Pre-University Education - Physics, Chemistry, Maths (89%)

Feb. 2026 - May 2026

CampusPe

Generative AI Intern - LLM Integration, RAG Pipelines, Security Middleware

My Projects

Python Java RAG Pipelines Ollama FastAPI MySQL ChromaDB Git/Github JavaScript React JS Hugging Face LLMs OpenCV Fine-tuning Embedded Systems JavaScript Ollama Python FastAPI MySQL ChromaDB Git/Github React JS

Astrava- National Level Hackathon

Winner of the title "BEST USE OF AI/ML TECHNOLOGY" - Dr. Ambedkar Institute of Technology

Built PensieveAI, a privacy-first Python RAG application using Ollama and ChromaDB to securely index multi-source context and accelerate legacy code analysis through on-premises, semantic search.

GenAI Exchange Hackathon – AI Dev

Built an AI tool to analyze and simplify legal documents using Gemini and Vertex AI, offering clause-wise risk scores and negotiation tips.

Integrated PDF parsing with Firebase and GenAI SDK for real-time, user-friendly contract insights.

Kodikon 4.0 - PES University

Led team to build speech recognition conversational app, being in top 20 of 500+ applicants. Built a secure, responsive application with real-time messaging, file sharing support ensuring a seamless and private user experience.

Get in Touch

I'd love to hear from you!

Have a project in mind or just want to say hi? Feel free to connect with me on social media or send a brief message to the right!

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