Hi, I'm Rohan
AI Intern at HERE, GSoC '26 contributor at AOSSIE. I build in public.
RP

About

I'm a computer science student at Bennett University (B.Tech, class of 2027) working on applied AI. I'm currently an AI Intern at HERE Technologies and a Google Summer of Code '26 contributor at AOSSIE, where I work on PictoPy, a privacy-first gallery manager for desktop. Previously, I compressed LeNet-5 in C++ for FPGA inference as a Machine Learning Intern at KeenSemi, and I served as Head of Tech and then Vice Chairperson of the Data Science Society at Bennett. I build in public.

Work Experience

Education

Amity International School, Vasundhara (Sector-6)
Amity International School, Vasundhara (Sector-6)
High School Diploma, Science
March 2009 - May 2023

Skills

Agentic AI Development
Deep Learning
Large Language Models
Python
C++
TypeScript
JavaScript
PyTorch
TensorFlow
Keras
Scikit-learn
NumPy
Pandas
ONNX
Hugging Face
Google Colab
FastAPI
React
Next.js
Node.js
Express.js
MongoDB
MySQL
PostgreSQL
AWS
Google Cloud
GitHub Actions
Git
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

PictoPy

A fully offline, privacy-first desktop image gallery by AOSSIE. It groups faces across your library, tags photos with detected objects, and supports semantic search, all with on-device AI models. As a contributor and GSoC 2026 participant, I worked on ML pipelines, CI/CD, face clustering and Visual Semantic Intelligence.

Rust
Python
React
TypeScript
Tauri
FastAPI
SQLite
ONNX Runtime
OpenCV

Drive Guardian

A real-time Automatic Braking System pipeline merging object detection and lane segmentation under 1.1GB of VRAM. Decouples PyTorch and ONNX Runtime execution environments to optimize GPU use, reaching under 30ms inference and 20 FPS across two neural networks.

Python
PyTorch
YOLO
ONNX
OpenCV
Pillow
NumPy
CustomTkinter

Arogya for Maternal Health

An AI-powered infant care tracking application with text and voice support and responses in under 5 seconds. Uses a Retrieval-Augmented Generation pipeline on a local Gemma model, indexing 10,000+ WHO guidelines, pediatric care documents and infant health records to reduce hallucinated responses by 60%.

Python
FastAPI
Next.js
PostgreSQL
NeonDB
Ollama
RAG
LLMs
Telegram API
Contact

Get in Touch

Want to chat? Just shoot me a DM with a direct question on LinkedIn or X, or use the form above, and I'll respond whenever I can. I will ignore all soliciting.

GitHub
LinkedIn
X
youtube