Shantanu Patel

Available for opportunities

Shantanu Patel

Building 0-to-1 AI solutions. 8+ years driving product-led growth through technical implementation, customer-facing engineering, and measurable outcomes.

AI Product Manager Forward Deployed Engineer
Current

Hopstack

Head of Product & Implementation

80% Implementation time reduction • 95%+ retention

About Me

Product leader with 8+ years driving 0-to-1 growth across AI-powered supply chain and IoT solutions. Equally comfortable leading product strategy as deploying hands-on implementations. Strong technical foundation (firmware, IoT, AI/ML) enables deep collaboration with engineering teams while maintaining focus on customer outcomes.

Proven track record reducing time-to-value by 80%, building cross-functional teams from scratch, and translating complex technical capabilities into products customers love. Delivered measurable ROI: $400K+ customer savings, 80% order processing time reduction, and 4x revenue growth through strategic product decisions and technical execution.

Featured

Pallet Visibility & Tracking

Patented camera-based barcode detection system for real-time shipment visibility with edge computing and cloud integration.

Learn more
Head of Product & Implementation
Hopstack
2023 - Now

AI-Powered Supply Chain Solutions

Product Leadership

  • ▹ Owned 18-month product vision across 3 strategic pillars: AI automation, multi-warehouse orchestration, integration platform
  • ▹ Conducted 25+ customer interviews per quarter to inform roadmap decisions
  • ▹ Implemented RICE prioritization evaluating 50+ feature requests per quarter
  • ▹ Built product organization 0-to-1 spanning Product, Implementation, Customer Success, and Support
  • ▹ Used prototyping tools (V0, Lovable, Replit) for MVP validation and faster engineering alignment
  • ▹ Established quarterly OKRs aligned with company revenue targets

Technical Implementation

  • ▹ Led 500+ product demos and 100+ technical evaluations, closing 50+ enterprise customers
  • ▹ Hands-on implementations for 15 enterprise customers across 25+ warehouse facilities
  • ▹ Managed complex ERP integrations: data migration of 100K-1M+ SKUs, orders, and inventory records
  • ▹ Trained 500+ warehouse managers and operators, achieving 80% feature adoption within 45 days
  • ▹ Coordinated dependency analysis across customer IT: WMS, ERP, TMS, OMS, e-commerce platforms

Integration Platform

  • ▹ Built integration platform connecting 70+ external systems: Salesforce, SAP, NetSuite, Shopify, Amazon, UPS, FedEx
  • ▹ Strategic partnerships with CommerceHub, eHub, ShipRush reducing implementation complexity 60%
  • ▹ Enabled revenue generation through carrier partnerships offering 20-30% shipping cost savings
Senior Software Engineer
LG Electronics
2018 - 2023

AI, IoT & Connected Technologies Innovation Center

Autonomous Retail System (Primary Focus)

  • ▹ Led architecture and implementation of autonomous retail prototype combining computer vision, IoT sensors, edge computing, and consumer-facing mobile app
  • ▹ Served as Scrum Master coordinating cross-functional team (software, hardware, design, product), driving sprint planning and stakeholder alignment
  • ▹ Conducted 100+ demonstrations for executives, external partners, and customers - translating technical capabilities into business value and influencing executive investment decisions
  • ▹ Designed sensor architecture combining weight sensors, RFID, computer vision cameras, and proximity sensors - implementing sensor fusion algorithms for product tracking
  • ▹ Built internal tools suite: hardware health dashboard (100+ sensors real-time), data recording pipeline (10M+ events), OTA update system for edge devices
  • ▹ Deployed as 500 sq ft demonstration facility with 30+ cameras, 100+ IoT sensors, real-time inventory tracking, and automated checkout

Connected Vehicle Platform

  • ▹ Re-architected fleet management firmware achieving 16x performance improvement (625→10K+ data points/second) for CAN bus, OBD2, and GPS collection
  • ▹ Deployed across 500+ commercial vehicles with 99.9% uptime, reducing memory footprint 60% through efficient data structures

Strategic Partnerships & Innovation

  • ▹ Led technical evaluation of IoT hardware vendors for 10K+ device roadmap, achieving 50% hardware cost reduction through strategic component selection
  • ▹ Developed sensor fusion algorithms resulting in 2 patents for autonomous checkout applications
  • ▹ Mentored 5 junior engineers on embedded systems architecture, IoT development, and rapid prototyping
IoT Solutions Architect
Smith Engineering
2017 - 2018

Fortune 500 Deployments (Forward Deployed Role)

  • ▹ Deployed as on-site solutions architect for Fortune 500 healthcare customers: MERCK (pharmaceutical manufacturing), MSKCC (medical research facility)
  • ▹ Led IoT implementations 0-to-1: requirements gathering, system design, hardware installation, validation, and 1-year+ production support ensuring 99.9% uptime
  • ▹ Served as primary technical contact for facility IT teams, engineering departments, and executive stakeholders

End-to-End Solution Development

  • ▹ Designed 30-channel data logger processing 1M+ data points hourly with JSON-based REST APIs and real-time webhooks
  • ▹ Led hardware procurement and NEMA-rated enclosure design (IP67/IP68) for harsh industrial environments
  • ▹ Implemented backend API (Flask/Python) with multi-cloud integration: GCP IoT Hub, Azure IoT Hub, AWS Lambda
  • ▹ Mentored team of 3 interns and trained in-house employees on system operation and maintenance protocols
Research Engineer
Jet Stream Electric
2014 - 2016

Early-Stage Startup (3-person team)

  • ▹ 200W airborne wind energy prototype with kite-tether system
  • ▹ Ardupilot flight controller optimization with custom firmware
Projects

AI Document Parsing System

Document parsing tool using Anthropic Claude API for automated data extraction from 20+ template types. Integrated into WMS eliminating manual data entry.

85% accuracy87% time savings (15min → 2min per document)

Tech: Claude API, Python, WMS Integration

Auto-Cropping Tool for E-commerce Returns

AI-powered label extraction tool extracting 4x6 shipping labels from full-size A4 return labels using computer vision algorithms.

95% accuracy90% time reduction (3-5min → <30sec per return)

Tech: Python, TensorFlow, Claude API

AI-Driven Order Optimization

Order batching algorithm using clustering for planning and grouping logic. Enabled bulk label generation and intelligent order grouping.

80% picking time reduction40% packing efficiency improvement

Tech: Clustering Algorithms, Python

Pallet Visibility System

End-to-end camera-based barcode detection and cloud-based tracking for major logistics company. Patent for shipment visibility technology.

99.2% barcode read accuracy50+ trucks daily

Tech: Edge Computing, Computer Vision, Cloud Integration

Learn more

Integration Platform (iPaaS)

Enterprise data sync across e-commerce, ERP, shipping. Temporal workflows, no-code configuration, real-time monitoring dashboards.

70+ integrations • Self-serve setup

Tech: Temporal, No-code Config, Real-time Dashboards

Visit ipaas.shan0o.com

Robotic ARM Implementation

Product strategy, SOPs, and deployment scaling for Y-Combinator backed robotics startup. Identified gaps and trained internal teams.

2023 · YC Consulting

Patents & Innovation

Shipment Visibility & Tracking System

Camera-based barcode detection for pallet tracking with cloud-based real-time tracking and observability platform.

Sensor Fusion for Autonomous Retail

Multi-sensor product identification and tracking combining weight sensors, RFID, computer vision, and proximity sensors.

Warehouse Operation Orchestration

Automating warehouse operations workflows translating to 99.8% fulfillment accuracy.

Integration Platform (iPaaS)

Integration as a Service Platform connecting 100+ logistics integrations. Self-serve, no-code setup, real-time alerts and dashboard capabilities.

Skills
Product Management

Product Strategy, Roadmapping, Customer Discovery (25+ interviews/quarter), RICE Prioritization, OKRs, A/B Testing

Product Analytics

Clarity (heatmaps, session recordings), PostHog (funnels, cohorts), Sentry (error tracking), SQL, Python (Pandas, NumPy)

AI & Development

Claude, OpenAI, Gemini, LangChain, Prompt Engineering, Vercel, Supabase, Cursor, AI Agents, RAG

Prototyping Tools

V0, Lovable, Replit, MVP Development, Rapid Prototyping

Infrastructure & DevOps

AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Monitoring (Sentry, CloudWatch, Grafana)

Hardware & IoT

Firmware (C/C++), IoT Protocols (MQTT, CAN bus), Computer Vision, Edge Computing, Sensor Integration

Enterprise Integration

ERP: Salesforce, SAP, NetSuite, Odoo, Microsoft Dynamics. E-commerce: Shopify, Amazon, eBay, TikTok Shop, Walmart. Carriers: UPS, FedEx, USPS, DHL

Collaboration

JIRA, Linear, Confluence, Notion, Figma, Miro, Agile/Scrum

Education
M.S. Computer Engineering

State University of New York at Binghamton

GPA: 3.56 • Aug 2016 - May 2018

B.Tech. Electrical Engineering

Charotar University of Science and Technology

Community

Pine64, MakerFest, Museum of Mathematics Hackathon, HackBU (MLH)