Electronics & Communication Engineering @ NSUT | Quant Developer | Competitive Programmer | AI Enthusiast
I enjoy building systems that combine mathematics, software engineering, and machine learning to solve difficult real-world problems. Whether it's designing trading infrastructure, experimenting with AI models, or writing high-performance C++, I love understanding how things work from first principles.
- π A modular C++ Quant Trading Engine
- π€ AI-powered applications using Python and FastAPI
- π Full-stack web applications with the MERN ecosystem
- β‘ Competitive Programming and algorithmic problem solving
Languages
C++ Python JavaScript TypeScript Java
Backend
Node.js Express.js FastAPI
Frontend
React Next.js Tailwind CSS
Databases
MongoDB PostgreSQL
AI / Data Science
PyTorch TensorFlow scikit-learn OpenCV NumPy Pandas
Embedded Systems
Arduino ESP8266
Tools
Git Linux Docker Firebase
- Low-latency systems
- Financial engineering & quantitative finance
- Reinforcement Learning
- Large Language Models
- Distributed Systems
- High-performance C++
- Quantitative Trading
- Machine Learning
- Artificial Intelligence
- Competitive Programming
- System Design
- Finance & Economics
- Computer Vision
- AI / ML projects
- Quantitative finance
- Open-source software
- React & FastAPI applications
- Computer Vision
- Embedded Systems
- Research projects
- Build a production-grade quantitative trading platform
- Reach Expert on Codeforces
- Contribute to impactful open-source projects
- Explore the intersection of AI, mathematics, and finance
π§ Email: akshayvr2@gmail.com
"The best way to predict the future is to build it."
