Second-year B.Tech student in Artificial Intelligence & Data Science, based in Maharashtra, India. I learn by shipping — datasets, editors, agents, and CLIs.
- Working through my B.Tech in AI & DS, building real projects alongside coursework
- Hands-on across data (Python, pandas, Power BI), ML (PyTorch, PyG), cloud (AWS, Terraform), and apps (TypeScript, Rust)
May 2026 – Aug 2026 · Pune District, Maharashtra · On-site
- Developed cloud-based applications using AWS services, REST APIs, and modern deployment workflows — hands-on exposure to production-grade software engineering practices
- Built and integrated live API systems into the NEXUS AI Intelligence Dashboard, transitioning the project from a UI prototype to a functional, data-driven platform
- Applied version control workflows with GitHub (branching, pull requests, commits) across collaborative development cycles
- Documented software architecture and implementation decisions, strengthening understanding of scalable system design
Skills: AWS · REST APIs · Python · GitHub · Cloud Application Development · Software Engineering
Apr 2025 – Present · Remote
- Completed project-based training across core development fundamentals: debugging, code structure, and software development lifecycle (SDLC) practices
- Implemented programming concepts in real-world project contexts, translating business requirements into working code
- Gained exposure to professional development environments, version control practices, and team-based delivery workflows
Skills: Python · Data Analysis · Predictive Analytics · Software Development · Debugging · SDLC
Languages
Data & ML
Cloud & DevOps
Tools & Creative
How I build: AI-augmented development is part of my workflow — I work with OpenCode, Claude Code, Codex, Antigravity, and DeepSeek harnesses as pair programmers, and I make sure I understand what ships.
| Project | What it is | Built with |
|---|---|---|
| flywire-gnn | The FlyWire FAFB brain connectome as a ready-to-train PyTorch Geometric dataset — 139,255 neurons, 2.7M edges, 9-class node classification, with real CPU baselines (MLP 0.9851 / GraphSAGE 0.9812 / GCN 0.9166). Published on Hugging Face. | Python · PyTorch Geometric |
| LoomIDE | AI-native desktop code editor — Tauri + Rust core, Monaco editor, generic LSP integration, and a provider-agnostic AI router (OpenAI / Anthropic / Ollama). | TypeScript · Rust · Tauri |
| keeper | Autonomous, safety-first GitHub repository maintainer — triages issues, writes code, runs tests, opens PRs. By design it can never merge, force-push, or touch protected branches. | Python · GitHub API |
| privacy-control-center | Find where your personal data is exposed online and remove it — data-broker opt-outs, account deletion, and a DMCA request generator. Local-first, self-search only. | JavaScript |
| lumen | Local-first CLI that keeps an inspectable model of your values, goals, and decisions — decision journal, past-self retrieval, value-drift checks. | Python |
- LinkedIn — linkedin.com/in/omkar-dhakane
- Email — omkardhakane011@gmail.com
- Hugging Face — huggingface.co/SLOP011

