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Building in stealth

Saksham Goyal.

AI engineer. Product builder.

I build AI systems people use, from computer vision and voice to agents.

See My WorkLet's Talk

Shipping production AI since 2020.

The work so far

Built. Shipped. Used.

A few products and systems I've helped bring into the world, across agents, voice, and computer vision.

Multi-agent AIIOK Labs

NutriChef

Co-created a nutrition and coaching platform, from dietary profiling and meal planning to blood report analysis. Built the backend and multi-agent architecture from scratch.

10×

faster nutritionist workflows

What I built for NutriChef

Co-created from zero.
AI nutrition and coaching platform built on multi-agent LLM architecture.

  • Partnered with Ryan Fernando, India's leading sports nutritionist (Virat Kohli, Indian Cricket Team), to build and launch the RF Health app
  • Engineered multi-agent workflows for dietary profiling, meal planning, and blood report analysis
  • Shipped LLM-powered features - Snap-to-Track, Write-to-Track, Health Score, and more
  • Architected the core backend from scratch, cutting nutritionist workflow time by 10x
  • Delivered scalable multi-tenant infrastructure supporting multiple white-label clients simultaneously
LLMMulti-agent SystemsWhite-label SaaSBackend Architecture

Voice AIIOK Labs

tinychef

Scaled the Sanjeev Kapoor Recipes Alexa skill and app, with AI search, recommendations, and a platform for brand campaigns.

100K+

monthly active users

What I built for tinychef

Co-founded by Sanjeev Kapoor.
Scaled the SKR Alexa Skill and app to 100K+ MAU and 500K+ monthly voice interactions.

  • Partnered directly with the Amazon Alexa team as India's #1 recipe intent partner
  • Built AI-powered search and recommendation engine, lifting user engagement by 30%
  • Built in-house ads platform and CMS, turning brand partnerships into a standalone revenue channel
  • Worked closely with brands like ITC, Swastha Cookware, and Heritage on AI-powered campaigns and content
Amazon Alexa PartnerConversational AIAI Search & RecommendationsVoice Ads

Computer visionNayan Technologies

Traffic violation detection

Built detection systems from CCTV footage, deployed with Dubai Police through Dubai Future Accelerators.

91%

accuracy in production

What I built for Traffic violation detection

AI-powered traffic monitoring and road safety.
Deployed violation detection for Dubai Police through Dubai Future Accelerators.

  • Built traffic violation detection from CCTV footage, 91% accuracy in production across UAE
  • Delivered POCs for IdeaForge (drone-based parking violations) and Delhi Police (real-time number plate recognition against stolen vehicle databases)
  • Retrained YOLOv4 on custom datasets, improving accuracy by 25%. Reduced false violations by 40%
  • Built in-house data annotation engine, automating the full train-validate-test pipeline
Traffic & SurveillanceComputer VisionDeep LearningMLOps

How I got here.

From medical imaging research to leading AI and engineering.
Now building in stealth.

  1. 2025 - PresentIndependentNowStealth BuilderBuilding at the intersection of AI and human intervention.

    Working on something at the intersection of AI and human intervention.
    Building from scratch. Product, engineering, go-to-market. More to share soon.

    Interested in investing or collaborating? Let's talk.
    BuilderAI0 to 1ProductArchitectureGo-to-Market

  2. 2021 - 2025IOK LabsHead of AI and EngineeringLed engineering across voice, nutrition, and multi-agent products.

    IOK Labs

    NutriChef

    Co-created from zero.
    AI nutrition and coaching platform built on multi-agent LLM architecture.

    • Partnered with Ryan Fernando, India's leading sports nutritionist (Virat Kohli, Indian Cricket Team), to build and launch the RF Health app
    • Engineered multi-agent workflows for dietary profiling, meal planning, and blood report analysis
    • Shipped LLM-powered features - Snap-to-Track, Write-to-Track, Health Score, and more
    • Architected the core backend from scratch, cutting nutritionist workflow time by 10x
    • Delivered scalable multi-tenant infrastructure supporting multiple white-label clients simultaneously
    LLMMulti-agent SystemsWhite-label SaaSBackend Architecture

    tinychef (Sanjeev Kapoor Recipes)

    Co-founded by Sanjeev Kapoor.
    Scaled the SKR Alexa Skill and app to 100K+ MAU and 500K+ monthly voice interactions.

    • Partnered directly with the Amazon Alexa team as India's #1 recipe intent partner
    • Built AI-powered search and recommendation engine, lifting user engagement by 30%
    • Built in-house ads platform and CMS, turning brand partnerships into a standalone revenue channel
    • Worked closely with brands like ITC, Swastha Cookware, and Heritage on AI-powered campaigns and content
    Amazon Alexa PartnerConversational AIAI Search & RecommendationsVoice Ads

  3. 2020 - 2021Nayan TechnologiesSoftware Engineer, AIBuilt computer vision systems for road safety.

    Nayan Technologies

    AI-powered traffic monitoring and road safety.
    Deployed violation detection for Dubai Police through Dubai Future Accelerators.

    • Built traffic violation detection from CCTV footage, 91% accuracy in production across UAE
    • Delivered POCs for IdeaForge (drone-based parking violations) and Delhi Police (real-time number plate recognition against stolen vehicle databases)
    • Retrained YOLOv4 on custom datasets, improving accuracy by 25%. Reduced false violations by 40%
    • Built in-house data annotation engine, automating the full train-validate-test pipeline
    Traffic & SurveillanceComputer VisionDeep LearningMLOps

  4. 2020AdventumAI Research InternResearched disease detection from retinal scans.

    Medical imaging AI. Piloted with ophthalmology clinics in Spain.
    Built a pipeline to detect early-stage eye diseases from retinal scans.

    • Deployed working POC for real-time diagnostic applications with clinics
    • Developed AI models for detecting diabetic retinopathy and glaucoma from fundus and OCT scans
    • Applied transfer learning, ensemble methods, and multi-modal learning across various architectures to improve diagnostic accuracy
    AI in HealthcareResearchOphthalmologyDeep LearningComputer Vision

Built at startups. Learned to do it all.

Whatever the product needed to move forward, I picked it up and shipped it.

Full-Stack Builder

Started with AI research, then built the APIs, interfaces, and cloud systems to put it in people's hands.

Backend SystemsCloud & InfrastructureFrontend & WebAPI DesignSystem ArchitectureCI/CD

AI in Production

From retinal scans to voice assistants and multi-agent systems. Building, deploying, and improving AI in production since 2020.

Large Language ModelsMulti-agent WorkflowsComputer Vision & Deep LearningMLOps & Model Pipelines

Zero to One Product

Scoped the first version, prioritized what came next, and demoed to partners. Learned product by being responsible for shipping it.

Product Roadmaps & PrioritizationScrum & Sprint PlanningUser Research & Feedback LoopsFeature Scoping & Demos

Growth and Revenue

Worked with brand partners, translated their needs into features, and built the tools to track campaigns and revenue.

Revenue Tracking & AnalyticsPartner Requirements & DeliveryBrand PartnershipsGo-to-Market Strategy

Notes & ideas.

Things I'm learning, exploring, and thinking about.
All writing

Beyond the projects.

The code I'm writing and the places I go when I close the laptop.

On GitHub

Contributions over the past year.

When I'm not building.

Mountains, travel, and a change of pace.

Chai and Code Rishikesh
Misty Valley Dawn
Mountain Sunset Glow
Summit Cairn Himalayas
Sunset Through Trees

Building something? Let's talk.

An idea, a hard engineering problem, or a conversation about AI.
I'd like to hear it.
Schedule a Call Send an Email

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