Building the future of hardware development with artificial intelligence

🚀 Founder & CEO at ProductFlo – The AI-powered engineering workspace for hardware teams
🩺 Founder at NextNotes – Ambient AI assistant transforming clinical documentation
🌍 Brooklyn, NY → Building globally

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I'm Serge Kadjo, a technical founder and systems engineer specializing in AI, hardware engineering, and product development. With over a decade building physical products and software systems, I bridge the gap between hardware and AI—solving problems that require both deep technical knowledge and entrepreneurial execution.

Making hardware development 10x faster through AI-powered tools and intelligent automation.

I believe hardware innovation moves too slowly. While software teams ship daily, hardware engineers struggle with months-long cycles, poor collaboration tools, and manual documentation. I'm changing that with ProductFlo and Haitch—our 7-billion parameter AI model trained specifically for hardware engineering.

• 10+ years in hardware product development and systems engineering
• Multiple founder (AI healthcare, SaaS, IoT hardware, renewable energy)
• Full-stack builder from embedded firmware to cloud infrastructure
• AI systems architect with focus on domain-specific LLM applications
• Abidjan → Paris → Wroclaw → Shenzhen → Atlanta → Brooklyn entrepreneur building in the deep tech space

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The first collaborative platform built specifically for physical product development

ProductFlo is revolutionizing how hardware teams work—think "GitHub for hardware" with AI-powered intelligence. We're solving version control, documentation, and collaboration for mechanical, electrical, and firmware engineers working on physical products.

Key Innovation: Haitch – Our proprietary 7-billion parameter AI model trained on hardware engineering data. Haitch understands CAD files, electrical schematics, BOMs, and technical documentation—generating test plans, compliance checklists, and manufacturing packets automatically.

Tech Stack: Python · Node.js · React · FastAPI · PostgreSQL · LLM fine-tuning · Semantic search Impact: Teams reduce development time by 50%+ and eliminate cross-functional communication bottlenecks

Learn more: ProductFlo Blog | Haitch AI Documentation

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Ambient AI that saves clinicians 2-3 hours per day on documentation

NextNotes uses real-time speech recognition and medical LLMs to automatically generate clinical notes, discharge summaries, and billing codes—letting doctors focus on patients, not paperwork.

Tech Stack: Python · FastAPI · OpenAI API · Edge AI · Real-time transcription · Medical NLP Impact: Deployed across multiple clinics, processing thousands of patient encounters monthly

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Multi-module platform helping brands convert traffic into revenue

Full-stack SaaS platform with live chat, offline QR campaigns, and analytics—scaled to $10K MRR serving North American eCommerce brands.

Tech Stack: React · Next.js · Node.js · PHP · Tailwind · AWS · Analytics pipelines

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Wireless, solar-powered sensors for agriculture and energy optimization

Designed and deployed 3,000+ low-cost IoT devices for irrigation management and energy monitoring in arid regions.

Tech Stack: C++ · MicroPython · Embedded Linux · MQTT · Solar power systems · PCB design

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• Large Language Models (LLMs): Fine-tuning, prompt engineering, domain-specific training
• Semantic AI: Vector embeddings, RAG (Retrieval-Augmented Generation), knowledge graphs
• Real-time AI inference: Edge AI, optimization for production systems
• AI for specialized domains: Hardware engineering, healthcare, manufacturing

• Mechanical engineering: CAD (SolidWorks, Fusion 360), DFM/DFA, materials selection
• Electrical engineering: Circuit design, PCB layout, power systems
• Embedded systems: Firmware development, IoT protocols, sensor integration
• Product lifecycle management (PLM): Version control, documentation, collaboration workflows

• Languages: Python · JavaScript/TypeScript · Node.js · C++ · PHP · SQL
• Frameworks: React · Next.js · FastAPI · Express · LangChain
• Cloud & DevOps: AWS · Docker · CI/CD · GitHub Actions
• Databases: PostgreSQL · MongoDB · Vector databases (Pinecone, Weaviate)

• Product strategy: 0-to-1 product development, roadmapping, user research
• Team building: Technical hiring, cross-functional leadership, remote team management
• Fundraising: Seed rounds, pitch deck development, investor relations
• GTM execution: Launch strategy, positioning, early customer acquisition

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7-billion parameter language model trained on engineering data

The first AI model that truly understands hardware:

• Trained on millions of CAD files, schematics, BOMs, and technical documentation
• Generates test plans, compliance checklists, and manufacturing instructions
• Semantic understanding of mechanical, electrical, and firmware contexts
• API available for integration into engineering workflows

Technologies: Python · PyTorch · Transformers · Vector databases · Semantic parsing Research areas: Multi-modal learning (CAD + text), spatial reasoning, technical document generation

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Multi-user version control for hardware projects

Internal system enabling real-time collaboration on CAD files and design documents:

• Conflict-free replicated data types (CRDTs) for distributed editing
• Server-sent events (SSE) for real-time updates
• Smart diff algorithms for binary CAD files
• 35% improvement in engineering throughput

Technologies: Node.js · Python · SSE · PostgreSQL · Binary diff algorithms

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End-to-end system for ambient clinical intelligence

Real-time speech-to-documentation pipeline:

• Edge AI for low-latency transcription
• Medical entity recognition and extraction
• SOAP note generation with ICD-10 coding
• HIPAA-compliant infrastructure

Technologies: Python · Whisper · GPT-4 · Medical NLP · FHIR integration

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• Mechanical LLMs: Training models to reason spatially about physical constraints
• Self-reasoning design systems: AI that can iterate on designs based on engineering principles
• Contextual product intelligence: Knowledge graphs for hardware components and compatibility
• Computational manufacturing: AI-driven optimization for supply chain and production

• Decentralized energy networks: Grid optimization, peer-to-peer energy trading
• Embedded AI agents: Running inference on-device for real-time decision making
• Sustainable manufacturing: AI for material selection and waste reduction
• Hardware security: Supply chain verification, component authentication

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2023 – Present | Brooklyn, NY

• Built AI-powered engineering workspace for hardware teams from zero to first customers
• Developed Haitch: 7B-parameter AI model for hardware engineering
• Raised seed funding and assembled cross-functional team
• Established partnerships with hardware accelerators and manufacturing networks

2019 – 2023 | Shenzhen, CN →, Atlanta, GA

• Developed robotic garment cleaning system
• Led mechanical design and embedded systems integration
• Optimized manufacturing processes for cost reduction

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• Built multiple 0-to-1 products in AI, hardware, and SaaS
• Trained domain-specific AI model (Haitch) with 7B parameters
• Deployed at scale: 3,000+ hardware units, thousands of AI-assisted clinical encounters
• Revenue generation: Scaled SaaS to $10K MRR, closed enterprise contracts
• Technical innovation: Patents pending for AI-assisted hardware development systems
• Thought leadership: Writing about AI, hardware development, and entrepreneurship

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I write about AI, hardware engineering, product development, and entrepreneurship:

• "Why Hardware Development Is 10x Slower Than Software (And How AI Fixes It)"
• "Training a 7-Billion Parameter Model for Hardware Engineering: Lessons Learned"
• "From Idea to Prototype in 30 Days: A Framework for Hardware Startups"
• "The Future of Hardware Engineering: AI, Automation, and Acceleration"

• AI for specialized domains (hardware, healthcare, manufacturing)
• Hardware product development and PLM
• Building technical startups from zero to one
• Engineering team leadership and collaboration
• The future of physical product development
• Renewable energy and sustainable systems

Read more: ProductFlo Blog | Personal Website

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Available for speaking on:

• AI applications in hardware engineering
• Building specialized AI models for technical domains
• Hardware startup challenges and solutions
• Product development workflows and collaboration
• The intersection of AI and physical products
• Building in the Brooklyn/Atlanta tech ecosystem

• Hardware Innovation Workshop – "AI-Powered Engineering Workflows"
• Atlanta Tech Village – "From Hardware to SaaS: A Founder's Journey"
• Georgia Tech Guest Lectures – "Product Development for Physical Products"

Book me to speak: serge.kadjo@williamcompanies.com

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Python · JavaScript · TypeScript · Node.js · C++ · MicroPython · PHP · SQL

PyTorch · TensorFlow · LangChain · OpenAI API · Anthropic Claude · Hugging Face · Vector Databases · Embeddings · RAG · Fine-tuning · Prompt Engineering

React · Next.js · FastAPI · Express · Django · REST APIs · GraphQL · WebSockets · SSE

Embedded C/C++ · MicroPython · Arduino · ESP32 · Raspberry Pi · IoT Protocols (MQTT, CoAP) · PCB Design · CAD Integration

AWS (EC2, S3, Lambda, RDS) · Docker · Kubernetes · CI/CD · GitHub Actions · Terraform · Monitoring (Datadog, Sentry)

PostgreSQL · MongoDB · Redis · Pinecone · Weaviate · Elasticsearch

Figma · SolidWorks · Fusion 360 · Notion · Linear · Miro · User Research · Prototyping

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"Think like a scientist, build like an engineer, execute like a founder."

First principles thinking: Break problems down to fundamentals, question assumptions, rebuild from ground truth.

Rapid iteration: Ship early, learn fast, iterate based on real feedback—not theory.

Cross-disciplinary innovation: The best solutions come from combining hardware, software, and AI in novel ways.

Impact over hype: Build things that actually work and solve real problems—not just impressive demos.

The gap between software and hardware innovation is too wide. Software teams ship features daily; hardware teams take years. This inefficiency holds back crucial innovations in renewable energy, medical devices, robotics, and sustainable manufacturing.

I'm on a mission to close that gap with AI-powered tools that make hardware development as fast and collaborative as software development.

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I'm always interested in conversations about:

• AI applications in hardware, healthcare, and technical domains
• Hardware startups and product development challenges
• Renewable energy systems and sustainable tech
• Collaboration opportunities in deep tech
• Early-stage investing in hardware and AI companies

• 📧 Email: serge.kadjo@engineer.com
• 💼 LinkedIn: linkedin.com/in/swkkadjo
• 🐦 Twitter/X: @swkkadjo
• 🌐 Website: williamcompanies.com
• 🏢 ProductFlo: productflo.io
• 🩺 NextNotes: next-notes.com

I host monthly Hardware Founders Office Hours for entrepreneurs building physical products. DM me on LinkedIn or Twitter to join the next session.

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Now shipping:

• ProductFlo v2.0 with enhanced AI capabilities
• Haitch API for third-party integrations
• NextNotes expansion to new clinic networks

Now exploring:

• Energy grid optimization with AI
• Decentralized manufacturing networks
• Next-generation embedded AI agents

Always learning:

• Advanced LLM architectures and training techniques
• Manufacturing automation and Industry 4.0
• Sustainable energy systems and policy

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"Build for impact, not hype. The future belongs to those who ship."

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Hardware engineering, AI for hardware, ProductFlo founder, Haitch AI, hardware PLM, engineering collaboration, hardware startups, mechanical engineering, electrical engineering, embedded systems, IoT hardware, AI product development, technical founder, Brooklyn entrepreneur, hardware product development, CAD automation, test plan generation, manufacturing AI, clinical AI, healthcare automation, ambient intelligence, LLM fine-tuning, specialized AI models, hardware-software integration, renewable energy systems, solar IoT, product lifecycle management, engineering workspace, GitHub for hardware, hardware version control, AI documentation, technical documentation automation

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Last Updated: October 2025
Location: Brooklyn, NY
Status: Building & shipping 🚀