
AI Product Leader | AI/ML Products | Healthcare & Enterprise Platforms
With 10+ years of experience delivering AI-driven healthcare and enterprise platforms, I've owned 5+ production AI products end to end, generating $2M+ in annual enterprise value and eliminating 70,000+ hours of manual effort for Fortune 500 clients and healthcare organizations.
I specialize in end-to-end product ownership of AI/ML platforms, combining full-stack engineering and applied ML. From discovery and PRD development to cross-functional execution and enterprise deployment, I translate clinical, business, and technical requirements into compliant, scalable systems adopted by enterprise clients.
My work has been published in IEEE conferences, recognized through prestigious awards like Google Summer of Code, and has directly contributed to improving operational efficiency and clinical outcomes for clients worldwide.
A journey through innovative projects and impactful solutions
San Francisco, CA (Remote)
• Led end-to-end product ownership for AI-assisted spinal implant identification platform used by Fortune 500 medical device clients (Medtronic), reducing manual identification effort by 4,000+ hours annually and delivering $2M+ in recurring enterprise value.
• Built custom image and video annotation platform for GE Appliances, improving ML development velocity by ~40% through optimized data and labeling pipelines.
• Led early-stage product discovery with US-based top plastic surgeon for automated burn severity classification, building mobile ML-powered PoC to validate technical feasibility and clinical workflows.
Istanbul, Turkey (Remote)
• Partnered with the founder to drive feature prioritization, UX decisions, and roadmap execution for a mobile-first platform serving blue-collar workers, translating user needs into production-ready mobile workflows.
• Delivered real-time mobile features with a focus on usability, performance, and scalability, improving reliability of core user journeys and enabling early platform growth.
Pune, India
• Led end-to-end product discovery and development for an ingredient-based recipe recommendation app, defining MVP scope and UX, and validating key user workflows through early usage and feedback.
Pune, India
• Built ML-driven pipelines to automate large-scale biomedical literature processing (500k–1M+ publications), reducing manual research effort by ~80%, eliminating 70k+ analyst hours, and saving $300k–$600k+ in operational costs for Fortune 500 pharmaceutical clients.
Academic foundation with international research experience
Bangalore, India
• Advanced certification in Deep Learning focusing on foundations and applications in Artificial Intelligence.
Jaipur, India
CGPA: 7.77/10
• Completed summer internship at Czech Technical University in Prague on medical imaging algorithms.
Recognition and research contributions in the field
Developed a Dropbox plugin for ImageJ using Java and Dropbox v2 APIs, enabling seamless integration of cloud storage for image processing tasks.
Highly competitive selection rate (≤ 15%)
Secured a $1,000 USD travel grant to present research at IEEE ICIP 2013.
Achieved 3rd place in the multi-spectral imaging category among 35+ participants worldwide.
"2-SiMDoM: A 2-Sieve Model for Detection of Mitosis in Multispectral Breast Cancer Imagery"
20th IEEE International Conference on Image Processing 2013, Melbourne, Australia
"Scalable System for Classification of White Blood Cells from Leishman Stained Blood Stain Images"
HIMA Workshop, 15th International Conference on Medical Image Computing and Computer-Assisted Intervention 2012, Nice, France
Product leadership and technical execution capabilities honed over 10+ years
Ready to discuss your next project? I'd love to hear about your ideas and explore how we can bring them to life.