CS @ Purdue
Computer Science student with a passion for building scalable systems, AI/ML applications, and intuitive user experiences.
Experience
My professional journey.
- Developed a Python-based simulation engine to model and optimize routing logic for 180,000+ daily packages.
- Implemented data pipelines to aggregate and clean 200,000+ raw records for warehouse capacity stress-testing.
- Engineered real-time embryo detection pipeline using OpenCV/PyTorch (120 FPS, 20ms latency).
- Trained ResNet-based CNN for embryo classification with 80% accuracy.
- Designed dual-core MicroPython architecture for audio mixer, reducing latency from 120ms to 13ms.
- Implemented automated CI/CD pipelines via GitHub Actions.
- Optimized DSP features in C, reducing CPU utilization by 40%.
- Deployed real-time pet detection/navigation models on NVIDIA Jetson using YOLO (99%+ accuracy).
- Scaled image preprocessing pipeline for 80K+ images, doubling throughput.
Next.jsXRPLPythonLangGraph
Get In Touch
Currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!
Say Hello