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I build software at the intersection of Artificial Intelligence, Machine Learning, research engineering, and real-world systems. My work ranges from experimental benchmarking and computer vision to developer tooling, full-stack platforms, automation, and systems that connect people with technology. Currently focused on:
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Research → Engineering → Product
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| Area | What I work on |
|---|---|
| 🧠 AI / ML | Deep learning, computer vision, model experimentation |
| 🔬 Research | Benchmarking, optimization, reproducibility, evaluation |
| ⚡ Agents | Tool-using systems, MCP-oriented workflows, automation |
| 🌐 Full Stack | React, Next.js, APIs, dashboards, data-driven products |
| ☁️ Infrastructure | Docker, cloud deployment, databases, developer tooling |
| 🧩 Systems | Practical software for operations, communities, and workflows |
A research-oriented workstation for empirical benchmarking of deep CNN compression and optimization strategies.
- Multi-objective evaluation across accuracy, latency, model size and energy
- Metaheuristic optimization experiments
- Pareto analysis and convergence telemetry
- Hardware-aware profiling
- React + TypeScript frontend with FastAPI backend
- Live deployment: cnn.umeshlabs.in
Repository: UmeshCode1/cnn-optimization-benchmark
A digital platform for organizing and connecting an AI/ML student community.
Designed around events, members, operations, resources, communication and future club workflows.
Repository: UmeshCode1/Connect-AiML-Club-OCT
A computer-vision project for identity recognition and automated attendance workflows.
Repository: UmeshCode1/FACE_REC-ATT_SYSTEM
A web platform exploring a more structured digital experience for AI/ML learning and community resources.
Repository: UmeshCode1/aiml-hub
A GitHub-focused AI development companion concept built around code analysis, debugging, automation and knowledge access.
Repository: UmeshCode1/Aetheris-AI
Research tells me what works.
Engineering makes it reliable.
Product makes it useful.
I like projects where there is a real technical question underneath the interface — not just another CRUD app with a gradient slapped on it.
That means caring about:
Correctness → Measurement → Reliability
↑ ↓
└──────── Iteration ──────┘
🐍 View Classic Contribution Snake Grid
I also spend time building and organizing technical communities, shaping developer experiences, and turning ideas into systems that other people can use.
That includes work around:
AI communities · student technology · research platforms · events · automation · developer tooling · product design
