About Me
Hello, and welcome to my website! I’m a passionate problem solver and researcher with a strong background in applied science, software development, and machine learning. My expertise lies in leveraging technology to tackle complex challenges in wireless and IoT networks. My research focuses on applying reinforcement learning to replace classical heuristic methods traditionally used in solving combinatorial optimization problems in networking.
Skills
Programming Languages
- Python: Extensive experience in data science, deep learning, and optimization
- MATLAB: Expertise in simulation, modeling, and numerical analysis
- Java: Proficient in OOP and algorithm development
- C: Proficient in developing embedded systems and Linux-based applications
Core Competencies
- Deep Learning: Designing, training, and deploying neural networks
- Reinforcement Learning: Solving real-world problems using RL techniques
- Generative AI: Developing models for creative applications, such as GANs and VAEs
- Bayesian Methods: Leveraging Bayesian models to describe uncertainty in modeling and decision-making
- Monte Carlo Methods: Proficient in MCMC, Monte Carlo simulations, and stochastic optimization
- Variational Models: Applying variational inference for probabilistic models and latent variable optimization
- Graph Neural Networks: Designing and implementing GNNs for structured data and network analysis
- Optimization: Advanced skills in ML-augmented optimization and solving combinatorial problems, with experience in MILPs, convex optimization, and other mathematical programming techniques
- Embedded Systems: Developing real-time solutions using C and Linux-based systems
Education
- Master of Applied Science, The University of British Columbia, in progress
- Bachelor of Applied Science, Simon Fraser University, 2023
Interests
- Combinatorial Optimization with Reinforcement Learning: Merging AI and optimization for breakthrough solutions
- Emerging Technologies: Continuously learning and experimenting with cutting-edge advancements in AI
Projects
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