AI/ML · Computer Vision · Research/ADAS
Bold tech + smooth motion portfolio.
Placeholder copy for now — we’ll tune identity later based on role. The design + motion foundation comes first.
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See all →Galaxy Merger Classification via DANN
Sim-to-real domain adaptation with multimodal fusion between IllustrisTNG simulations and CEERS observations.
- Designed a Gated Multimodal Unit (GMU) to fuse simulation (IllustrisTNG) with observational data (CEERS).
- Implemented Domain Adversarial Neural Networks (DANN) to bridge sim-to-real gap under severe class imbalance.
Vision-Based Cooperative Infrastructure Perception
Multi-camera fusion + detection + tracking for intersection safety and collision forecasting.
- Engineered multi-camera fusion using homography to create a unified top-down grid for situational awareness.
- Optimized YOLOv8 inference with TensorRT FP16 to reduce latency while maintaining high-accuracy detection.