Sep 2024 – May 2025 · 8 mos · Toronto, Ontario, Canada · On-site

• Built multiplayer infra in Java and C# for a game using Unity DOTS.

Oct 2023 – Dec 2023 · 2 mos · Oakville, Ontario, Canada · Hybrid

• Developed an application from scratch to precisely estimate 3D body pose from a monocular RGB camera.
• Seamlessly integrated Google's Mediapipe framework with Unity Game Engine using Python.
• Significantly accelerated preprocessing of input data by over 200% through the implementation of customized shaders leveraging GPU capabilities.

Jan 2023 – Aug 2023 · 7 mos

• Redesigned and developed an options trading system in Python, incorporating async and multiprocessing for concurrent option handling, and employing design patterns like Factory and Observer for scalability and maintainability, directly contributing to $3-5 million in annual profits.
• Developed a notification module in Python & Node.js with a React front-end, achieving <100ms latency through live updates from MongoDB, enhancing trader decision-making speed by 50% and trade accuracy by 25%.
• Mentored 3 new hires in the Options team, developing trading and data processing tools, and supervised a summer intern in creating an auto-complete search React component with Elasticsearch.
• Mentored student developers as part of DESIS Ascend Educare 2022-23, fostering their growth and development in relevant technical domains.
• Recognized as one of the top performers, leading to an early promotion within 1.5 years.

Jun 2021 – Dec 2022 · 1 yr 6 mos

• Developed a framework for systematic report approval, using React & Redux, reducing approval time by 40%.
• Created a log analysis dashboard for a Python server using Elasticsearch, with Logstash for parsing and Kibana for visualization, enhancing monitoring and analysis capabilities by 10x.
• Executed Java from Python using PJRmi (DE Shaw’s version of Py4j), which performs RMI (Remote Method Invocation, aka RPC), for seamless order placement integration, improving order placement speed by 20%.
• Implemented 5+ financial math functions, including the Black-Scholes model for options pricing, utilizing NumPy for numerical operations and pandas for data manipulation, reducing computation time by 30%.
• Mentored a summer intern within the Options group on an Ops task management project.

May 2020 – Jun 2020 · 1 mo · Hyderabad, Telangana, India

• Conceptualized and built a full-stack application using Python and JavaScript, aimed at effectively storing events from real-time processes and presenting them through a timeline viewer.
• Engineered backend schemas and APIs with a versatile design, ensuring compatibility with various types of processes.
• Impact: Dramatically reduced the time required to investigate anomalies in processes from hours to mere minutes, leveraging the efficiency of the developed application.

May 2018 – Aug 2018 · 3 mos

• Developed a streamlined tool to facilitate the creation of website chatbots, significantly reducing the time investment by over 50 hours typically required for manual creation.
• Implemented cutting-edge Java Servlets and APIs on the server to enhance system functionality.
• Spearheaded the development of multiple chatbots for SUSI.AI, an innovative rule-based artificial intelligence personal assistant application.
• Impact: Empowered over 100 students to effortlessly create chatbots during Google Code-in 2018, showcasing the scalability and accessibility of the developed system.
• https://summerofcode.withgoogle.com/archive/2018/projects/6346860339920896/