Chaitya
Dobariya
MS Computer Science @ Rutgers • Building AI systems, LLM pipelines & full-stack applications that solve real problems.
Turning ideas into intelligent systems
I'm a graduate student at Rutgers University pursuing my MS in Computer Science with a perfect 4.0 GPA. My work sits at the intersection of AI, systems engineering, and applied research — from hierarchical multi-agent LLM pipelines to machine learning models published in IEEE conferences.
Previously, I interned at IIT Bombay building RL-based vehicle routing systems and serve as a Teaching Assistant at Rutgers, leading recitations in Discrete Mathematics for 58 students. I care about building software that's thoughtfully engineered, not just functional.
Rutgers University
MSCS • Expected May 2027
Sardar Patel Institute
B.Tech CSE • 3.7 GPA • 2025
New Brunswick, NJ
Open to remote & on-site
4.0
GPA at Rutgers
1st
Space Frontier Challenge
IEEE
Published ISC2-2024
Top 10
CANSAT International
Where I've worked
Teaching Assistant
Rutgers University — Dept. of Computer Science
Part-time- Serve as part-time lecturer for Introduction to Discrete Structures II, supporting 58 students.
- Lead weekly recitation sessions to clarify complex topics and facilitate collaborative problem-solving.
- Conduct office hours reinforcing graph theory, combinatorics, and discrete mathematics.
- Discrete Math
- Graph Theory
- Teaching
- Rutgers
Research Intern
IIT Bombay — Industrial Engineering & Operations Research
Research- Engineered a multi-user Excel interface using VBA with MongoDB integration for collaborative data management.
- Integrated a Reinforcement Learning model for Vehicle Routing Problem with a scalable FastAPI backend.
- Built real-time monitoring dashboards via Highcharts for live operational insights.
- Reinforcement Learning
- FastAPI
- MongoDB
- VBA
- IIT Bombay
Things I've built
Multi-Agent Systems & LLM
AI Personal Assistant
Hierarchical multi-agent system using LangGraph and LangChain to manage emails, calendar, to-do lists, and web research via WhatsApp. Supervisor agent orchestrates specialized sub-agents.
- LangGraph
- LangChain
- Multi-Agent
- WhatsApp API
- Python
NLP & Browser Extension
Tweet Mention Recommendation
Custom BERT model achieving 81.56% accuracy classifying civic issues to automate department tagging. Browser plugin + Streamlit portal with Llama 2. Published at IEEE ISC2-2024.
- BERT
- Llama 2
- JavaScript
- Streamlit
- MongoDB
Applied AI & Data Pipelines
News Aggregator AI Agent
Scalable distributed news aggregator with LLM-powered summarization, keyword extraction, and topic clustering. Fetches from multiple sources in real time with batch processing.
- LLMs
- Distributed Systems
- Python
- NLP
Productivity App
Balance Desk
Full-stack productivity and balance tracking application to help users manage daily tasks, habits, and wellness routines effectively.
- React
- Node.js
- MongoDB
Finance App
Expense Tracker
Personal expense tracker with category-based analysis, visual spending breakdowns, and budget management to keep finances in check.
- React
- JavaScript
- CSS
Unsupervised ML & Remote Sensing
Aerosol Retrieval & Classification
Two-stage ML algorithm to retrieve aerosol properties (AOD, AE, FMF, FAOD) using MODIS satellite data. Clusters aerosols into 9 types. Submitted to Journal of the Indian Society of Remote Sensing.
- Scikit-learn
- MODIS
- Clustering
- Python
Let's connect
Open to research collaborations, internship opportunities, full-time roles, and interesting project ideas.