Frequently Asked Questions

Who is Varun Cumbamangalam?

Varun Cumbamangalam is a Senior IoT and Edge AI Engineer and AI Product Manager with 7+ years of experience building cloud-connected medical devices, edge ML systems, and wearable products in the US, UK, Belgium, and India.

What technologies does Varun specialize in?

Varun works with IoT firmware (FreeRTOS, BLE, ESP32, STM32), Edge AI/ML (TensorFlow Lite, ONNX), full-stack development (TypeScript, React, Next.js, Go, Python), and cloud infrastructure (AWS, Docker, Kubernetes).

Where does Varun Cumbamangalam currently work?

Varun works at OraLens Healthcare as a Technical Lead and AI Product Manager, where he builds oral health AI platforms and IoT devices.

Is Varun Cumbamangalam available for work or consulting?

Varun is open to senior engineering and product leadership roles in IoT, Edge AI, and healthtech. Use the form at varunc.com/contact or email cumbamangalamvarun@gmail.com.

Varun Cumbamangalam

AI Product Manager & Builder

OraLens Healthcare

Bengaluru, India · 7+ Years

US · UK · Belgium · India

About Me

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

OraLens Healthcare · Bengaluru, India
May 2024 to present
  • 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.
IoTHardwareML/AIAWSCI/CD

AI Product Manager, Wearables & Embedded Systems

Watcherr IxiCare · Aalst, Belgium
Jan 2022 to Jan 2025
  • 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.
BLEFreeRTOSEdge MLFirmwareEU Market

AI Product Manager, Fitness Technology (IoT)

Renovatio Systems Ltd· United Kingdom
Aug 2021 to Jan 2022
  • 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.
ESP32MQTTFirmwareSensor Integration

Project Engineer

Ralph L Wadsworth Construction· Draper, Utah, USA
Jun 2019 to Feb 2020
  • 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.
Project ManagementQAConstruction Engineering

AI PM & Technical Skills

AI-Powered Development

Claude / GPT-4oCursorGitHub CopilotAgent OrchestrationPrompt EngineeringAI-Assisted PRDs

Product Strategy

Product VisionRoadmappingMarket ResearchCompetitive AnalysisOKRs & KPIsPRDs

Agile Execution

ScrumKanbanSAFeSprint PlanningBacklog PrioritisationRelease Management

Stakeholder & Leadership

Cross-Functional TeamsExecutive CommunicationVendor ManagementUser AdvocacyMentoring

Tools & Platforms

JiraConfluenceFigmaMiroAmplitudePowerBI

Embedded & Firmware

ESP32STM32Raspberry Pi 5/Zero 2WnRF52FreeRTOSPlatformIO

IoT & Protocols

BLE / GATTMQTTI2C / SPI / UARTAWS IoT CoreAES-256-GCMSQLCipher

Education

M.S. Mechanical Engineering, Robotics & Control Systems

University of Utah

Salt Lake City, UT, USA · 2019

GPA 3.6 / 4.0

B.Tech Mechatronics Engineering

S.R.M University

Chennai, India · 2012

GPA 8.8 / 10

Certifications

Certified Scrum Master

Scrum Alliance · 2025

Jira Fundamentals Badge

Atlassian · 2025

Electrical CAD Professional

Professional Training

Mechanical CAD Professional

Professional Training

Engineering and product

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.