About Me
I'm Akshit, a student at Georgia Tech studying Computer Science and FinTech. I like to build things that are interesting and either make my life better or more enjoyable.
I'm an engineer with an interest in the markets. Whether it's playing poker with my friends or building a trading simulator, I'm drawn to environments where the edge comes from human behavior under uncertainty and pressure.
Away from the computer, I love music - both listening and playing (my favorites are Bollywood and R&B), playing chess, exploring places with friends, and discovering new foods.
Projects
Built a simulated algorithmic market-making engine with stochastic price modeling, bid/ask spread management, order execution logic, and inventory controls to optimize resilience against liquidity shocks and P&L in financial markets. Integrating SQL database for persistent trade and price data storage and WebSocket data streaming.
Developed a real-time multiplayer sports betting mobile app achieving Honorable Mention at HackGT 12. Engineered live video-synced wagering with lobby management, and dynamic payout algorithms with REST endpoints backed by PostgreSQL schema and Selenium WebDriver to automate sports feed launches.
Built and deployed a full-stack React and Flask web application enabling automated AI grading of Advanced Placement FRQ exam responses for student practice with 200+ users. Fine-tuned custom GPT model and OpenAI API calls on 100+ exam media to accurately detect and grade AP FRQ responses, achieving 90%+ grading accuracy.
Experience
Software Developer Intern
- ▸Built a mobile and desktop production-grade application through an Agile workflow used by 50+ global field researchers to monitor endangered species populations in low connectivity environments
- ▸Integrated a YOLOv8 computer vision model processing real-time image and video data, supporting structured analytics and species/behavior identification
- ▸Optimized data visualization components under latency constraints, improving operational decision-making by 50% and reducing bottlenecks in field reporting workflows
Software Engineer Intern
- ▸Engineered an AI email management system handling 300+ weekly inquiries featuring document parsing and engagement analytics to streamline dealflow operations and decrease decision turnaround time by 20%
- ▸Optimized company Collaborative Dealflow Automation (CDA) platform through debugging and performance tuning to improve system-wide scalability for 500+ active real estate professionals
- ▸Reduced user-facing errors and latency by 40%, with automated analysis of 50+ hours of system session data from LogRocket and diagnosis of critical errors
Seeking Summer 2026 internship opportunities in Software Engineering and Quantitative Finance
Coursework
Relevant CS and mathematics courses supporting quantitative and systems work
Computer Science
- CS 1331Introduction to Object-Oriented Programming
- CS 1332Data Structures and Algorithms
- CS 2110Computer Organization & Programming
- CS 2050Introduction to Discrete Mathematics
Mathematics
- MATH 2550Introduction to Multivariable Calculus
- MATH 1554Linear Algebra