I develop and evaluate systems that harness the power of applied AI to solve real-world problems. My research spans 3D point-cloud processing, computer vision, healthcare AI, and research-to-production systems.
Designed and evaluated processing workflows for industrial point-cloud datasets exceeding 400 GB. The work included geometric segmentation, transient artifact reduction, deep learning experimentation, spatial indexing, and layered outputs for digital-twin workflows.
Contributed to AI-assisted screening systems for cervical cancer, cataract, and eye-health assessment. The work connected model development and validation with practical healthcare workflows and large-scale public deployment.
Supported applied AI and software systems for government healthcare, facial recognition, operational dashboards, COVID-19 monitoring, and public-service delivery under real-world scale and reliability constraints.
Co-developed a compact surveillance copter designed for rapid deployment and situational monitoring. The work combined mechatronics, embedded systems, sensing, design validation, and applied research, resulting in a granted Indian patent.
India Patent No. 529771 · Published March 2024
International Journal of Advances in Medicine · 2024
Open-data analytics and machine learning research contribution presented in Canada · 2024
Lambton Research & Innovation
Continuing applied research and technical development across industrial AI, large-scale point-cloud systems, computer vision, scalable data processing, and research-oriented engineering.
Lambton Research & Innovation
Led applied research on industrial 3D point-cloud datasets, including segmentation, denoising, transient artifact reduction, benchmarking, scalable processing pipelines, and digital-twin integration workflows.
Lambton Research & Innovation
Developed large-scale data transformation, evaluation, and validation workflows for 3D and machine learning systems. Supported experimentation with geometric methods, deep learning, and scalable engineering tools.
Lambton Research & Innovation
Contributed to applied machine learning research involving synthetic data generation, model validation, quality assurance, benchmarking, and experimentation across financial, text, and large-scale structured datasets.
Logy.AI
Engineered healthcare computer-vision systems for cervical cancer, cataract, and eye-health screening, supporting model development, validation, clinical integration, and production workflows.
Tamil Nadu e-Governance Agency, Centre of Excellence
Contributed to applied AI, public healthcare systems, operational dashboards, facial recognition, service automation, and COVID-19 response platforms used in government operations.
My work sits between exploratory research and usable engineering. I am particularly interested in problems where data is large, imperfect, difficult to label, or collected outside controlled laboratory conditions.
My background spans artificial intelligence, computer vision, mechatronics, embedded systems, healthcare technology, and public-sector systems. I approach projects through structured experimentation, strong baselines, measurable evaluation, and practical system design.
I am open to conversations around applied AI research, computer vision, 3D point-cloud systems, industrial intelligence, research engineering, and interdisciplinary technical projects.