Applying deep learning and computer vision to pharmaceutical research and drug discovery pipelines.

Developed AI pipelines for 3D product generation from text using diffusion models and neural radiance fields (NeRFs). Implemented multi-view neural rendering to create photorealistic 3D environments and improved pipeline efficiency.

Led an 8–10 member R&D team to develop an autonomous drone-delivery vision system, achieving a 30% reduction in detection latency through algorithm optimisation. Recovered a project with a 5-month delay risk, delivering on time without scope reduction. Reported directly to CEO and COO.

Applied state-of-the-art Deep Learning end-to-end: from prototype to optimisation and production deployment. Developed 2D and 3D CT scan algorithms for classification, regression, and segmentation. Deployed models using Docker, TensorRT, and ONNX on embedded hardware including Jetson AGX Xavier.

Guided 10 students to develop Deep Learning projects from data collection, training, testing, and final reporting.

Teaching assistant for the Intelligent Systems in Medical Imaging course for Master students. Supervised a Master student’s graduation project.

Created and led a 5-person Android Automation team. Delivered Google acceptance tests 80% faster and 200% more precise than previous approaches. Developed a Macbeth ColorChecker algorithm for the Computer Vision team of Motorola Mobility & Lenovo.

Reduced the false positive rate of a face recognition algorithm using OpenCV.

Engineered a real-time video surveillance prototype to detect and track individuals using Computer Vision.

Assistant professor and researcher in Machine Learning and Computer Vision.

Developed feature extraction algorithms using computer vision. Results published in 3 scientific papers.

Thesis on Deep Learning for Localization and Segmentation in Thorax Abdomen CT. Lab ranked #2 in the world for ML applied to medical imaging. Research contributed to publications cited 2600+ times.

Dissertation on Supervised Feature Selection by Ranking to Process Similarity Queries in Medical Imaging. Completed 4 months ahead of deadline.

Dissertation on Feature Extraction and Distance Function Selection to Retrieve Microscopic Images of Parasites.