About Me
Product leader with 8+ years driving 0-to-1 growth and enterprise customer success across AI-powered supply chain and IoT solutions. Currently leading product strategy at Hopstack with 95%+ retention and 4x revenue expansion through hypothesis-driven discovery and rapid iteration.
Strong technical foundation (firmware, IoT, AI/ML) enables deep collaboration with engineering teams while maintaining focus on customer outcomes and business impact. Proven track record reducing time-to-value by 80%, building cross-functional teams from scratch, and translating complex technical capabilities into products customers love.
Work History
Head of Product and Implementation
- Owned product strategy and roadmap as core leadership team member, defining 18-month vision across 3 strategic pillars: AI-powered automation, multi-warehouse orchestration, and API platform. Coordinated with founders, marketing, sales, and engineering to align product development with go-to-market execution, driving 4x revenue growth and expansion to 15+ enterprise customers
- Built product organization from 0-to-1 (Product, Implementation, Success, Support) achieving 95%+ customer retention. Transformed delivery model from 15-week implementations to 3-week rapid deployments (80% reduction), increasing feature adoption from 40% to 85% through engineering partnership and continuous customer feedback loops
- Designed systematic product discovery framework combining customer research, competitive analysis, and usage data. Implemented RICE prioritization methodology evaluating 50+ requests, enabling repeatable roadmap planning process that reduced delivery cycles 10x (6 months→6 weeks) while achieving 85% adoption through validation-driven development
- Led strategic product decisions to maximize engineering impact, regularly sunsetting low-value features and deprioritizing customer requests based on rigorous RICE evaluation. Reallocated engineering capacity to high-impact opportunities, prioritizing AI automation that achieved 70% customer adoption and improved team velocity by 40%
Senior Software Engineer
- Re-architected fleet management firmware (CAN, OBD2, GPS) achieving 16x performance improvement for high-frequency data collection, processing 10K+ data points/second across 500+ connected vehicles
- Led architecture of end-to-end autonomous retail system combining computer vision, IoT sensors, edge computing, and consumer-facing app - deployed as internal demo serving 100+ stakeholder visits, driving executive buy-in for new product initiatives
- Developed sensor fusion algorithms for autonomous shopping applications, resulting in 4 granted patents in IoT and software-hardware integration, strengthening competitive positioning
- Designed and prototyped post-quantum cryptography implementations for edge devices, evaluating performance trade-offs across ARM and x86 architectures to inform future product roadmaps
- Led technical evaluation and vendor partnerships for IoT deployments, achieving 50% hardware cost reduction through strategic component selection and volume negotiations, directly impacting product margins
IoT Solutions Architect
- Developed end-to-end remote data logging solution including hardware procurement and standards-compliant enclosure design, board bring-up, backend API implementation (Flask), GCP IoT Hub integration, device health monitoring, and reporting dashboards
- Deployed IoT solutions to enterprise facilities (MERCK, MSKCC), managing on-site installations and ensuring system reliability for production environments
- Designed 30-channel data-logger architecture processing 1M+ data points hourly with JSON-based REST APIs, webhooks, and multi-cloud integrations (Azure, GCP), achieving 30% cost reduction through optimized design
Research Engineer
- Developed 200W airborne wind energy prototype with kite-and-tether system, integrating flight sensors and data acquisition systems to validate power generation feasibility
- Maintained and optimized Ardupilot flight controller with custom firmware modifications, enabling real-time sensor data collection for experimental flight testing and performance analysis
Skills & Tools
Product Management
Analytics & Data
AI & Modern Development
Collaboration & Prototyping
Key Projects
AI-Powered Warehouse Automation Tools
2024Built AI-powered automation tools to solve operational pain points for warehouse teams: (1) Auto-cropping solution extracting 4x6 shipping labels from A4 e-commerce return labels, reducing processing time from minutes to seconds, and (2) Document parsing tool using Anthropic Claude APIs to convert scanned PDFs into standardized Hopstack WMS templates, eliminating manual data entry.
Pallet Visibility & Tracking System - Granted Patent
2021Designed and deployed end-to-end software-hardware solution with camera-based barcode detection and cloud-based tracking system for a major logistics company. Published patent for shipment visibility technology.
Robotic ARM Implementation - YC Startup Consulting
2023Identified product gaps, defined implementation SOPs, trained internal team members, and developed scalable deployment strategies for Y-Combinator backed robotics startup.
Academic Background
Master of Science, Computer Engineering
Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering
Community Involvement
Contributed to Pine64 watch project, demonstrated projects at MakerFest, Museum of Mathematics Hackathon, HackBU - major league hacking events