Resume - Field Development Engineer

Professional Summary

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.

Professional Experience

Head of Product

Hopstack

California, United States

Jun 2023 - Present

AI-Powered Supply Chain Solutions

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

LG Electronics

Santa Clara, CA

Nov 2018 - Jun 2023

AI, IoT & Connected Technologies Innovation Center

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
Collaborated with cross-functional teams (design, product, business) to translate technical capabilities into product demonstrations for robotics and immersive technology initiatives, influencing executive investment decisions
Mentored junior engineers on embedded systems, IoT architecture, and rapid prototyping methodologies while maintaining strict confidentiality on pre-launch product development

IoT Solutions Architect

Smith Engineering, PLLC

New York, NY

May 2017 - May 2018

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
Mentored team of 3 fellow interns and trained in-house employees on system operation, deployment, maintenance, and troubleshooting procedures

Research Engineer

Jet Stream Electric

Bangalore, India

Mar 2014 - Jul 2016

Early-Stage Startup (3-person core team)

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
Coordinated with external SMEs and contractors on prototype fabrication and flight testing, contributing to iterative design improvements based on field test data

Technical Skills

Product Management

Product Strategy & Roadmapping, Customer Discovery, A/B Testing, Feature Prioritization (RICE), Jobs-to-be-Done, OKRs

Analytics & Data

SQL, Python (Pandas, NumPy), Product Analytics Tools, Statistical Analysis, Data Visualization, KPI Tracking

AI & Modern Development

Claude, Open AI, Gemini/AI Studio, LangChain, Prompt Engineering, Vercel, V0, Replit, Cursor, Supabase, AI Agent Development

Collaboration & Prototyping

JIRA, Linear, Confluence, Figma, Miro, Agile/Scrum, MVP Development, Rapid Prototyping

Key Projects

Pallet Visibility & Tracking System - Granted patent - Logistics Company

Designed and deployed end-to-end software-hardware solution with camera-based barcode detection and cloud-based tracking system. Published patent for shipment visibility technology.

AI-Powered Warehouse Automation Tools

Built 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

Education

Master of Science, Computer Engineering

State University of New York at Binghamton

GPA: 3.56

Aug 2016 - May 2018

Open Source & Community