Iβm a Computer Science student focused on building strong foundations in:
- π Machine Learning & Deep Learning
- β‘ Algorithms & Performance-Oriented Programming
- π Quantitative Finance & Trading Systems (Learning Phase)
- π€ AI-powered engineering and automation systems
I enjoy working on technically challenging problems that combine mathematics, systems thinking, and real-world impact.
Currently working toward specializing in quantitative engineering and applied ML systems.
- Deep Neural Networks & Transformers
- Reinforcement Learning Fundamentals
- Financial Markets & Quantitative Modeling
- Performance Optimization & Systems Concepts
- Autonomous AI Systems & Agent Architectures
Experience With
- Neural Networks
- Transformer Architectures
- Supervised & Unsupervised Learning
- Model Evaluation & Experimentation
- Numerical Computing & Scientific Python Stack
- Object-Oriented Design
- Algorithmic Problem Solving
- Multithreading Fundamentals
- Performance-Aware Programming
- Backend API Development
β Constantly learning. Constantly building.
