Where I've worked
and studied.

Columbia University, Department of Electrical Engineering · ELEN E3801 with Prof. Xiaodong Wang.

Tensor & Deep Learning Lab, Columbia University · I work on Learning-to-Algorithm solvers for combinatorial optimization. I built Transformer-based graph embeddings, curriculum-learning workflows and policy networks for MaxCut, and benchmarked their gains over exact-solver baselines.

IEEE · Special Track Chair for Artificial Intelligence for Scientific Discovery and Creative Art (AI4Science&Art) at the 12th IEEE International Conference on Intelligent Data and Security, and a paper reviewer.

Rensselaer Polytechnic Institute · Tutored more than 150 students in Data Structures, Algorithms and Professional Software Development, one on one, with code review and debugging help in Python and C++.

Rensselaer Polytechnic Institute · I led the reinforcement-learning work on quantum circuit design and wrote three MDP formulations for ten tasks. I also built a 190,000-instance Ising dataset and a reproducible Transformer-RL benchmark pipeline. The results were published at AAAI and NeurIPS workshops.

Tensor & Deep Learning Lab · I built the participant starter kit (baseline RL solvers and evaluation tools), worked on the contest website and documentation, and reviewed CFP-track submissions.

M.S. in Electrical Engineering

B.S. in Computer Science and Mathematics

Software & infrastructure

Python · Java · TypeScript · React · Next.js · Spring Boot · FastAPI · SQL · Docker · AWS

AI & research

Reinforcement learning · Transformer models · Graph optimization · Curriculum learning · RAG · Experiment design

Teaching & academic service

Signals and systems · Programming mentorship · Code review · Paper review · Conference organization