Saksham Goyal
Building something in AI.
Code. Debug. Deploy. Measure. Repeat.
Shipping AI at scale. Even before the LLM hype.
Built end to end. AI models, backend, frontend, product.
Work
What I've built.
Stealth Builder
Working on something at the intersection of AI and human intervention.
Building from scratch. Product, engineering, go-to-market. More to share soon.
Head of AI and Engineering
IOK LabsNutriChef
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
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
Software Engineer, AI
Nayan TechnologiesAI-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
AI Research Intern
AdventumMedical 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
Capabilities
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. Built the backend to serve the models. Learned cloud to deploy them. Picked up everything else along the way because that's what building a product takes.
AI in Production
From detecting eye diseases in retinal scans to building multi-agent LLM systems that serve real users. Six years of shipping AI, not just training models.
Zero to One Product
No PM, no product team. Scoped features, ran sprints, prioritized roadmaps, and demoed to partners. Startups taught me product the hard way.
Growth and Revenue
Worked on brand partnerships. Captured partner requirements. Tracked revenue numbers. Built the tools to measure it all. At a startup, the business side is everyone's job.
Writing
Latest blogs
Activity
What I've been up to.
I ship code. Regularly.
What the last year looks like, commit by commit.
When I'm not building.
Trekking through mountains, chasing sunsets, or exploring new places.
Contact