Software Developer with a Passion for Quant
Hey! I'm Varshith Vajinapelli, a second-year Computer Science student at the University of Minnesota. I love coding and enjoy taking on new programming challenges just as much as I love playing cricket.
My interest in quantitative trading started with my dad's experiences trading commodities. Inspired by his journey, I’ve been trading forex, commodities, and dabbling a bit in options. This passion has led me to explore the world of quant trading, where I get to mix technology with finance to build smart trading solutions.
When I'm not coding or analyzing market data, my younger brother loves to annoy me or play with me (all in good fun, of course!). I also spend a lot of time with my parents and hang out with my close friends, balancing my studies and hobbies with some quality downtime.
In my free time, I’m learning to play the piano and always enjoy listening to old Telugu music. Whether it's hitting the keys or grooving to classic tunes, these activities help me relax and stay creative.
"Real Human does Real things, I am a real human."
~ Varshith
This project utilizes PyTorch and OpenCV to develop a YOLOv5-based model that accurately detects Waldo in complex images. Accessible via a FastAPI REST API, users can upload images and receive real-time detection results.
DocuQuery is a web-based application that allows users to upload PDF files. The system automatically extracts text and enables users to query the document's content using OpenAI's advanced language models, making information retrieval from large or technical documents easier and faster.
A command-line application developed using C# and .NET Core designed to process real-time market data and generate trading signals based on predefined algorithms. This tool assists financial analysts and traders in identifying potential trading opportunities by analyzing live data streams from financial APIs.
A client-server application developed using Go (Golang) and gRPC designed to simulate real-time market data distribution for financial instruments. This tool allows clients to subscribe to specific instruments and receive live updates of order book snapshots and incremental changes.
University of Minnesota | Sept 2023 - Present
Assisted 35 students in lab sessions by helping them troubleshoot issues and explaining approaches to solving Python programming problems. Focused on clarifying concepts and guiding students through debugging and problem-solving strategies.
University of Minnesota | Sept 2022 - Present
Deliberated on and allocated over $2.85 million to student organizations, large-scale events, and collaborative initiatives that enhanced student engagement, campus life, and academic opportunities over a two-year period.
University of Minnesota | Sept 2023 - Jan 2024
Provided strategic recommendations for the management of 10 residential halls, including enhancements to the fire alarm systems in Centennial Hall and the implementation of new turnstiles in all buildings, rolling out this year. Deliberated on a fair lottery system for students wishing to continue living in residential buildings after their freshman year, ensuring equitable housing allocation.
University of Minnesota Twin Cities | Sept 2023 - Ongoing
Solved residential issues, managed key access and security protocols, and collaborated with various departments to ensure smooth operations and effective communication.