Architecting AI & Health-Tech Platforms from 0 to 1
0-to-1 AI Product Scaling • Embedded Systems Architect • Digital Therapeutics
Former CTO and Lead Engineer specializing in medical devices, embedded hardware, cloud AI architecture, and digital therapeutics. Patent holder in AI activity classification.
10 Yrs
CTO LEADERSHIP
30%
ENGAGEMENT BOOST
WIPO
PATENT HOLDER
Background
About Me
Former CTO and Lead Engineer specializing in medical devices, embedded hardware, cloud AI architecture, and digital therapeutics. Patent holder in AI activity classification.
Leadership Journey
Professional Experience
Lead Engineer - Capability Architect
Dr. Reddy's Laboratories
- Own end-to-end product lifecycle management for complex, multi-domain therapeutic devices, aligning mechanical, hardware, and software engineering teams around a unified roadmap.
- Serve as capability architect for technology transfers, translating R&D innovation into scalable, commercially viable products with global manufacturing partners.
- Define and drive V&V and EMC testing programs to ensure products meet quality, safety, and regulatory requirements ahead of launch.
- Manage multiple concurrent development programs, balancing innovation with schedule, cost, and design-control constraints in a regulated environment.
Chief Technology Officer
Oxstren Wearable Tech
- Owned technology and product strategy for a wearable and diagnostic AI startup, defining vision, roadmap, and execution from the ground up, scaling core product lines from 0 to 1.
- Led full product lifecycle—market discovery, requirements, design, development, validation, and launch—for AI/ML-enabled wearable and diagnostic products.
- Built and mentored cross-functional teams spanning hardware, embedded software, AI/ML, and systems integration.
- Directed integration of multi-disciplinary stacks (sensors, embedded systems, cloud, AI/ML) into cohesive data-driven healthcare experiences.
- Established supplier networks and OEM/ODM partnerships to scale products from prototype to mass production.
Research Associate
Mumbai University
- Led early-stage research and product discovery initiatives in BioMEMS and advanced instrumentation.
- Mentored engineering teams and drove IP creation across multiple student-led product projects.
Embedded Application Engineer
AGD Biomedicals
- Engineered embedded hardware architecture and firmware for diagnostic products, improving performance and time-to-market.
- Delivered an embedded Linux-based blood cell counter and integrated cloud connectivity for scalable data-driven healthcare.
Capabilities
Core Engineering & Executive Pillars
Medical Devices & Wearables
ECG, SpO2, Bioimpedance, CGM sensor architecture, ergonomic form factors, and BLE pipelines.
AI/ML Product Development
Vertex AI, computer vision pose tracking (32 body joints), activity classification models, and predictive analytics.
Cloud & IoT Platforms
AWS Certified architectures, real-time bi-directional telemetry, and HIPAA-compliant data pipelines.
Regulatory & Validation
EMC testing, Verification & Validation (V&V), design controls, HIPAA, and medical-grade device compliance.
0-to-1 Product Strategy
Transforming raw R&D ideas into commercial products, budget leadership, BOM streamlining, and COGS reduction.
Embedded & BioMEMS
Embedded Linux, bio-signal conditioning, microfluidics hematology analyzers, and firmware calibration.
Technical Competencies
Skills & Domain Mastery
Product Strategy & Leadership
AI & Platform Technology
Embedded & Hardware Engineering
Execution, Regulatory & Quality
Key Deliverables
Featured Key Product Initiatives
AI-Based Human Metabolism Monitoring & Recommendation Platform
Owned product strategy and delivery for an AI-driven metabolism monitoring platform, defining requirements and roadmap for personalized health insights.
- •Directed integration of multi-source biosignal data (ECG, SpO2, CGM) via BLE/NFC into a unified mobile application.
- •Partnered with engineering to build secure, cloud-based analytics on Google Vertex AI.
- •Transformed multimodal biosignal health data into clinically actionable real-time recommendations.
COGS Optimization of Digital Therapeutic Device
Led cross-functional redesign of a wearable digital therapeutic device to optimize manufacturing cost while preserving quality and performance.
- •Streamlined Bill of Materials (BOM) and coordinated global sourcing to drastically cut lead times.
- •Established scalable manufacturing in partnership with the world's largest device manufacturer.
Wearable ECG & SpO2 Measurement Device
Owned product design and go-to-market for a medical-grade wearable ECG/SpO2 device targeting Indian and US markets.
- •Spanned multiple ergonomic form factors including chest bands and smartwatches.
- •Directed secure BLE data pipeline to companion mobile application for clinical review and cloud storage.
Human Body Composition Analyzer
Led end-to-end product development of a bioimpedance-based body composition analyzer from hardware/firmware through companion app.
- •Partnered with CDMOs in China to scale manufacturing quality and efficiency.
- •Engineered high-accuracy bioimpedance measurement firmware and calibration software.
AI-Based Exercise Analysis Platform
Directed development of a computer-vision AI product for real-time physiotherapy exercise analysis and automated form correction.
- •Delivered computer-vision tracking of 32 body joints across iOS and Android.
- •Created an early AI-copilot experience with real-time voice and visual feedback.
5-Part Blood Cell Counter
Led product and engineering delivery of an embedded Linux-based diagnostic system from hardware architecture through calibration and validation.
- •Engineered high-reliability embedded system software and signal processing calibration.
- •Prepared full manufacturing transfer and clinical compliance verification.
Interactive Models
Hugging Face AI Spaces & Live Demos
Interactive clinical machine learning web spaces engineered for diagnostic risk prediction.
Thyroid Cancer Risk Prediction Model
Interactive Machine Learning space designed to analyze patient clinical parameters and predict thyroid cancer risk probabilities using lightweight clinical ML models.
PCOS Risk Predictor
Interactive diagnostic AI platform for early evaluation of Polycystic Ovary Syndrome (PCOS) risk using multi-factor metabolic and hormonal indicators.
Patents & Publications
Training of Classifiers for Identifying Activities Based on Motion Data
WIPO Patent WO2018134646
Discloses an ML-based system for classifying user activity from motion data, using trained classifiers with real-time and preset patterns to continuously improve accuracy—foundational IP underpinning AI-driven wearable products.
Education
M.Tech in Instrumentation
COEP Technological University, Pune (2011)
Grade: 8.3 / 10
B.Tech / B.E. in Biomedical Engineering
Mumbai University (2009)
Score: 75%
Certifications
AWS Certified Cloud Practitioner (CLF-C02)
Amazon Web Services
HIPAA Compliance Certification for Healthcare Platforms
Healthcare Security Standards
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