I build projects across computer vision, generative modeling, robotics simulation & navigation, and full-stack/backend engineering.
My work combines research-oriented ML experimentation with practical engineering — from diffusion models and medical imaging to robotics navigation systems and software infrastructure.
- Computer Vision / Deep Learning — object detection, segmentation, generative models, and multimodal pipelines
- Medical Imaging AI — CT↔MRI translation, diffusion-based reconstruction, evaluation pipelines
- Robotics / Navigation — simulation-based navigation, exploration heuristics, environment understanding
- Backend / Full-Stack Engineering — Java and TypeScript systems, APIs, tooling, and software architecture
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Developing-a-CT-to-MRI-Translation-with-BBDM Brownian Bridge Diffusion Model (BBDM) pipeline for CT→MRI translation with style-key conditioning, multi-slice inference, and ISTA-based refinement for stable volumetric reconstruction. Includes evaluation using SSIM, PSNR, and NRMSE.
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Habitat-Robotics-NavSim Robotics navigation and exploration experiments in simulated environments with heuristic search, object reasoning, and environment understanding.
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Diffusion Models & Optimal Transport Neural Optimal Transport methods for accelerating diffusion model sampling through latent-space truncation, including comparative experiments with truncation strategies, variational autoencoders (VAEs), diffusion models, and Wasserstein-based probabilistic metrics.
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VL-MemKnG Video QA for long-horizon egocentric navigation videos using segment-level memory retrieval and caption-derived spatio-temporal knowledge graphs. Combines GraphRAG-style reasoning with multimodal retrieval to support evidence-grounded question answering across temporally scattered events.
- Languages: Python, Java, TypeScript/JavaScript
- Frameworks: PyTorch, HuggingFace Transformers, OpenCV
- Areas: Computer Vision, Diffusion Models, Medical Imaging, Robotics Simulation, REST APIs, Backend Engineering
Generative AI, multimodal learning, robotics, medical imaging, probabilistic modeling, and applied machine learning systems.