Hi!, I'm Parth
and I'm
Final-year student at IIT Kharagpur, pursuing an Integrated Dual Degree (B.S. + M.S.) in Mathematics and Computing with a CGPA of 8.69. Experienced as a Quantitative Researcher at JP Morgan and a Web & C++ Developer/Tester at GoQuant
Experience
My Professional JourneyJP Morgan Chase & Co.
Quantitative Research Intern (PPO Offered)- Coded exposure delineations and engineered breaking trades to validate models for IR Swaps, Futures/Options.
- Built an SRI dashboard, showing complete coverage & reducing model monitoring time by 60% via error logging.
- Led re-review and testing of a curve-building model, contributing to risk analysis, transformation, and Futeq risk.
GoQuant
Backend Engineer Intern- Developed a trading gateway for multiple Crypto exchanges using Websockets, Rest API, and FIX Protocol in C++.
- Implemented and executed unit tests with GTest/GMock, designing 40+ testing suites and 400K+ test cases.
- Achieved sub-10 microsecond latency in trading systems using multithreading and optimized thread pools.
CodeBasera Tech
Software Engineer Intern- Utilized Cypher Query Language, Neo4j for graph database management, and AWS Cloud9 IDE for development.
- Employed MongoDB for data storage and GraphViz for enhancing graph visualization like color, position, and shape.
- Incorporated BFS/DFS algorithm for family tree visualization, boosting premium customers by 40%.
Skills
My technical levelCore & Languages
Foundational programming knowledgeData Structures & Algorithms
Object-Oriented Programming
C / C++
Python
JavaScript
SQL
Libraries & Frameworks
Web, Data, and AI DevelopmentNumpy & Pandas
Matplotlib
React JS
Node JS & Express JS
MongoDB
LangChain
Software & Platforms
Tools for development and deploymentGit
Docker
Linux
Matlab
Jupyter
Hugging Face
My Projects
Some of my recent work
POPKORN
Technology General Championship | Solo Gold
POPKORN is a next-gen movie streaming platform featuring semantic, fuzzy, and autocomplete search powered by a lightning-fast TF-IDF + RRF pipeline, enhanced with KornAI voice navigation for a hands-free experience. Built on VidStack adaptive bitrate streaming, it delivers ultra-smooth, high-quality playback across all devices with smart recommendations and a modern UI.
RAG-Based Response Engine
The RAG-Based Intelligent Response System leverages Retrieval-Augmented Generation (RAG) with LLaMA-2 and LangChain to deliver precise, context-aware answers from domain-specific documents. Powered by ChromaDB vector search and Flask, it ensures PDF ingestion, and seamless user interaction through an intuitive web interface.
Graphflow Database
GraphFlow-DB bridges graph and document storage by combining Neo4j and MongoDB behind a FastAPI + React UI, enabling interactive graph creation, traversal, and results rendering. It delivers seamless visualization, JSON-driven workflows, and live insights (topological order, connected components) wrapped in a containerized web app.
Algorithmic Way Finder
A computer-vision system that uses DFS, BFS, and Dijkstra’s algorithms to find optimal routes in a maze or map using OpenCV visualization.