About Me

Assisted in 7+ courses as a teaching assistant for C, Java, and Python. Researched optimization algorithms for solving NP-Hard problems, with experimental work using quantum computing tools (Qiskit, IBM Quantum). Assisted in teaching Node.js and guided students through React and Next.js course projects.

Built real-time computer vision models using YOLO and TensorFlow. Labeled, trained, and evaluated object detection models on a custom 1,000+ image dataset for anomaly detection, reaching approximately 75% accuracy. Optimized inference on NVIDIA Jetson Orin with CUDA to improve real-time runtime performance. Built end-to-end Python pipelines covering data preparation, training, evaluation, and deployment.

Contributed to Android app development in a team using Java/Kotlin and Git.

Wrote a script to streamline technical documentation, reducing manual reporting effort in a telecom infrastructure environment.

GPA: 3.52 / 4.00