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Eagle-devpni/README.md

Header

Scalable services · clean APIs
ML in production (TensorFlow / PyTorch) · AI-assisted delivery (agents + automation)

Inspired by beautify-github-profile · Focus: large-scale backend & distributed systems

REST · APIs · pipelines · Android / iOS · TensorFlow · PyTorch · distributed systems

Backend engineer focused on Python, Go, Java, distributed systems, and API design. I ship reliable services, wire TensorFlow / PyTorch into real products, and use AI agents (Cursor, Copilot, Ollama, Continue) to move faster with less toil.

Toolkit

Skill icons

Also: DevOps · REST APIs · data pipelines · mobile backends · TDD (Jest / Mocha) · Prompting · Agents (Cursor, Copilot, Ollama) · Continue

Highlights

What I build

  • Backend services integrating Python ML stacks for vision & NLP
  • Python / Node.js systems: REST APIs, pipelines, production traffic & ops constraints
  • Mobile-ready APIs (Android / iOS): auth, sync, AI recommendations

How I work

  • API-first thinking, clear boundaries, measurable performance
  • TDD where it pays off (Jest, Mocha)
  • Automation: agents & prompts for reviews, scaffolding, and repetitive workflows

Product screenshot

Product screenshot

What I develop

ML-backed services
Serving TensorFlow / PyTorch in real traffic: image classification, text processing, recommendation-style scoring behind stable APIs.

Distributed backends
Python / Node.js services, REST contracts, data pipelines, tuning for throughput, failure modes, and day-2 operations.

Mobile-facing platforms
Endpoints for Android / iOS: authentication, sync, AI-assisted features—same patterns as any high-churn client surface.

Product-grade web & quality
React stacks (Router, Redux, Webpack, ES6), Android clients where needed, Jest / Mocha and TDD when the risk profile calls for it.

Engineering loop

End-to-end flow in five stages; feedback closes the loop back to framing.

Engineering loop: Frame, Shape, Build, Integrate, Operate, then feedback to Frame

Open to backend / platform / ML-serving conversations.

UI patterns: beautify-github-profile · Skill Icons · Capsule Render

Footer

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