research interests
Research Interests
Areas of technical depth and active exploration.
Algorithms
Advanced data structures and optimization for performance-critical systems. My work focuses on low-level system design where every clock cycle counts.
Recent Objectives
Optimizing 2D engine architectures using sprite batching and dynamic VBOs.
Implementing efficient Entity-Component Systems (ECS) for massive entity handling.
Developing custom math libraries for geometry and collision physics.
Mathematical Modelling
Quantitative analysis and predictive modeling for financial assets. Leveraging statistical tools to discover and capture market anomalies.
Recent Objectives
Developing and backtesting Alphas within WorldQuant's quantitative frameworks.
Applying statistical analysis to identify non-obvious market correlations.
Building robust predictive models for high-dimensional financial datasets.
Machine Learning
Architecting and optimizing neural networks for real-world efficiency. Bridging the gap between theory and high-performance inference.
Recent Objectives
Exploring neural network optimization for visual AI applications.
Building efficient data pipelines for real-time inference at the edge.
Integrating machine learning models into larger system architectures.