
AI Product Manager & End-to-End Builder
Technical product leader who uses AI coding agents to ship full products solo. I have spent 7+ years in healthcare, wearables, and fitness tech across the US, UK, Belgium, and India. I work from product vision and PRD through architecture, implementation, and production deployment, directing AI-assisted development along the way. I bring technical depth to Agile delivery and stakeholder work.
- Ships products solo: PRD to code to deployment with AI agents
- 3 IoT products launched: concept to regulatory approval to market
- Directs AI agent work across firmware, backend, and dashboards
- 40% faster releases through AI-assisted CI/CD
Experience
AI Product Manager, Healthcare Technology
- Defined the product vision, roadmap, and GTM strategy for a cloud-connected medical device platform. Took three iterations from concept to launch.
- Directed Claude and Cursor coding agents to build and ship full-stack features across firmware, cloud backend, and clinical dashboard as the sole AI-assisted product builder.
- Owned and prioritised the backlog using clinical feedback and business goals. AI-assisted CI/CD workflows cut deployment cycles by 40%.
- Ran discovery sessions with clinicians and turned the findings into PRDs, user stories, and acceptance criteria for the AI development cycles.
- Presented product demos and recommendations to executive and clinical stakeholders, securing continued investment.
- Owned the product backlog for a wearable device, prioritising sensor integration, BLE connectivity, power optimisation, and on-device ML. The product shipped to production and entered the EU market.
- Led delivery of the edge ML activity-recognition feature: scoped requirements, coordinated data collection, and set success metrics of 92% accuracy and under 50ms inference.
- Built and managed the sensor-data pipeline roadmap, cutting ML iteration time from weeks to days.
- Introduced HIL and automated testing, improving quality by 35% and shortening QA from two weeks to three days.
- Worked with European partners on regulatory compliance and go-to-market planning before launch.
AI Product Manager, Fitness Technology (IoT)
- Managed product delivery for a smart gym IoT platform: defined the vision, scoped requirements, set milestones, and coordinated engineering and manufacturing workstreams.
- Led technical feasibility analysis of four sensor technologies and recommended a solution that balanced accuracy (±0.5 kg), cost, and power.
- Defined the MQTT cloud-sync specs for real-time tracking across firmware, backend, and mobile teams, supporting 1,000+ gym users.
- Produced manufacturing-ready documentation and managed the handoff to production.
Project Engineer
- Managed project execution on the Denver Airport expansion. Delivered two months early by coordinating engineering specs, subcontractors, and scheduling.
- Set up QA inspection protocols and design-change management workflows, maintaining zero safety non-conformances.
AI PM & Technical Skills
AI-Powered Development
Product Strategy
Agile Execution
Stakeholder & Leadership
Tools & Platforms
Embedded & Firmware
IoT & Protocols
Education
M.S. Mechanical Engineering, Robotics & Control Systems
University of Utah
Salt Lake City, UT, USA · 2019
GPA 3.6 / 4.0B.Tech Mechatronics Engineering
S.R.M University
Chennai, India · 2012
GPA 8.8 / 10Certifications
Build across the stack.
Good products benefit from people who can move between firmware and the feature spec. BLE stack latency affects the user experience, and a clinical workflow constraint can change the data model.