B.Tech student (started 2025) based in Bengaluru. I focus on building high-performance systems, algorithmic trading infrastructure, and exploring advanced reinforcement learning architectures. INTJ.
- Languages: C++, Go, C, Python, Java, JavaScript
- AI, ML & Quant: PyTorch, Reinforcement Learning (PPO), Prophet, Time-Series Forecasting, STL Decomposition
- Databases: PostgreSQL, MongoDB
- Engineered a highly robust BTC forecasting and trading bot.
- Leveraged advanced time-series modeling and predictive analytics to identify market trends and execute automated trading logic.
- Developed and validated baseline reinforcement learning agents.
- Utilized Proximal Policy Optimization (PPO) logic to handle complex, scalable environment interactions and decision-making.
- Conducted a comprehensive data science study on bike-sharing seasonality.
- Implemented STL decomposition and Prophet for precise trend analysis and demand forecasting.
- Competitive Programming: Consistently grinding advanced data structures, binary trees, and optimization algorithms.