👋Hello, I'm
Rahul Sangamker
AI/ML Engineer
I build
Building AI Systems That Work in the Real World
Fifteen more live AI demos on this site. Try them →Watch the connections strengthen and a pulse sweep through on each pass. Real backprop, hand-written in plain JavaScript, no libraries, nothing downloaded.
Turning AI Research Into Business Results
AI/ML Engineer with 5+ years of experience building production-grade AI systems that deliver measurable business impact. I specialize in LLMs, computer vision, and end-to-end ML pipelines, from research prototypes to Fortune 500 deployments.
My work spans transformer fine-tuning, agentic AI systems, document intelligence, and interactive ML platforms. I focus on reliability, explainability, and outcomes that matter.
Featured Projects
A selection of AI/ML projects delivering real-world impact
AI-Powered Workflow Builder
Drag-and-drop automation platform with intelligent code generation and automatic workflow creation.
Advanced Multimodal Agentic RAG
Enterprise RAG platform with multi-database connectivity enabling natural language data interaction.
Double Woods Detection System
Computer vision system achieving >95% accuracy for utility infrastructure analysis.
Pole Height & NESC Compliance
Automated height estimation and regulatory compliance system for utility poles.
Infrastructure Keypoint Detection
Fine-tuned transformer for precise keypoint extraction in utility infrastructure.
Healthcare Analytics Platform
End-to-end Gen-AI analytics platform delivering $20M+ annual savings for a major pharmacy chain.
Let's turn it into working software
If any of this maps to a problem you're facing, describe it in a few sentences and I'll come back with how I'd approach it and what it would take.
What I Can Build for You
Project-based engagements with clear scope, working software, and full handover. See the process below
AI Feasibility Sprint
A fixed-scope proof-of-concept on your real data. Find out whether AI actually solves your problem, and what it will take, before committing to a full build.
AI Agents & RAG Systems
Autonomous agents and agentic pipelines, retrieval over your data sources, LLM fine-tuning, and evaluation frameworks: AI that does real work, with quality you can measure.
Computer Vision Pipelines
Detection, segmentation, and keypoint systems, from annotation strategy to production deployment, including the rule layers that handle real-world edge cases.
ML Platforms & Automation
Workflow builders, no-code ML tooling, and end-to-end pipelines designed so your team can operate and extend them without me.
Full-Stack & Cloud Engineering
The software around the models: APIs, dashboards, data pipelines, and the cloud infrastructure underneath. The unglamorous parts that make AI actually ship.
If it runs on software, it can be scoped. Start with a conversation →
How I Work
From first call to handover, built for teams that need results, not research
Scope
A short call to understand the problem, the data you have, and what success actually looks like. You get an honest read on feasibility, including when AI is the wrong tool.
Prototype
A working proof-of-concept early, on your real data. We validate the approach before committing to a full build, not after.
Production
Hardened, evaluated, deployed. Every system ships with evaluation metrics you can trust, not just a demo that worked once.
Handover
Documentation, knowledge transfer, and support. Your team owns the system. No black boxes, no lock-in.
Skills & Expertise
Technologies and frameworks I use to build production-grade AI systems
ML & Deep Learning
GenAI & Prompt Engineering
LLMs & NLP
Cloud & Data
Databases
Full-Stack
GitHub Activity
Personal projects, experiments, and continuous learning
Contribution Graph
Updated live from GitHubActive development beyond enterprise projects. View on GitHub →
Beyond Code
When I'm not building AI systems, you'll find me thinking a few moves ahead or occasionally stepping on stage.
Let's Work Together
Open to new projects · currently taking on new engagements
Have a problem AI might solve? Describe it in a few sentences and I'll get back to you with how I'd approach it and what it would take.