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suvendukungfu/README.md

Animated Spider-Verse night patrol: a red-and-blue web-slinger swinging across a parallax comic-book city

Animated tagline: friendly neighborhood, serious engineering

Profile views GitHub followers Role: AI and full-stack engineer Base: India Open to collaboration


Origin Story

I'm Suvendu Kumar Sahoo — an engineer who builds AI systems, full-stack products, and automation that survive contact with real users.

One-line pitch: I turn ambitious experiments into reliable software — with validation, tests, clear architecture, and honest evaluation underneath the demo.

SPIDER-SENSE

Catch edge cases before they become incidents. Validate inputs, test failure paths, question surprising results.

WEB-SHOOTERS

Connect APIs, interfaces, models, and data pipelines into workflows people actually use.

WALL-CRAWLER MODE

Move across the stack: product interface → service boundary → model output → user experience.

NEIGHBORHOOD FIRST

Software that solves a real problem, explains its behavior, and stays maintainable after the demo.

Suit Configuration

identity: Suvendu Kumar Sahoo
mode: AI Builder / Full-Stack Engineer
location: India
focus:
  - Agentic AI and LLM applications (structured output, evals, fallbacks)
  - TypeScript, React, Next.js, Node.js
  - Python, ML, computer vision
  - Data workflows, testing, automation
principles:
  - Validate at the boundary
  - Fail safely and visibly
  - Measure before claiming
open_to: [open-source, hackathons, AI experiments, practical product ideas]

Multiverse Mission Board

Each mission links to its source — setup, tests, and status live in the repo.

EARTH-001 / THE OUTDOOR DIMENSION

Problem: Too much screen time, too little real-world discovery.

Approach: Local inference with Gemma 3 4B via Ollama analyzes field images and turns observations into real-world challenges.

Engineering focus: validated payloads, safe fallbacks, local-first AI.

TypeScript Next.js Ollama

EARTH-002 / THE CONTRACT DIMENSION

Problem: Risky clauses hidden in dense legal documents.

Approach: Interpretable clause classification + hybrid retrieval + a LangGraph-orchestrated LLM workflow that structures review findings.

Engineering focus: explainability, retrieval quality, orchestrated agents.

Python LangGraph Explainable ML

Live demo

EARTH-003 / THE WORKFORCE WATCHTOWER

Problem: Fragmented HR spreadsheets and disconnected workforce signals.

Approach: Employee-exit intelligence platform that turns HR data into structured workforce insights across facilities.

Engineering focus: auditability, multi-facility workflows, analytics.

Workforce analytics Full-stack

EARTH-004 / THE DEVELOPER DIMENSION

Problem: Repeated dev tasks and fragmented tooling.

Approach: One CLI with consistent subcommands, shared API clients, and reusable utilities.

Engineering focus: typed validation, ergonomics, composability.

TypeScript Developer tools

EXPLORE ALL REPOSITORIES →


Suit Technology

Layer Stack
Web Web stack
AI / ML / Data AI, ML and data stack
Tooling Tooling

Telemetry

GitHub stats Top languages


The Rogues Gallery

Villain Engineering counter-move
Green Goblin — unpredictable AI output Structured-output validation, deterministic fallbacks, evaluation tests
Doctor Octopus — tangled system boundaries Service contracts, explicit state, modular orchestration, traceable failures
Mysterio — misleading metrics Source-backed measurements, reproducible analysis, stated assumptions
Sandman — messy operational data Validation, reconciliation checks, repeatable pipelines
Venom — regressions that return Regression tests, build gates, careful change review
Electro — invisible runtime failures Useful logs, error boundaries, observable behavior

Animation Engine

The animated masthead is generated from source code in the repository rather than relying on a third-party banner service. It includes:

  • Pendulum-style web swinging with six connected movement arcs and web-anchor changes.
  • Three independently scrolling skyline layers to create parallax depth.
  • Animated window lights, rooftop beacons, clouds, stars, and a moving scan line.
  • Comic-book impact bursts at web releases and a compact night-patrol HUD.
  • A reduced-motion fallback for visitors who prefer less movement.

The generator creates spiderverse-arena.svg as part of the GitHub Actions workflow. The contribution arena below is a separate visualization driven by your real GitHub contribution grid.

View the animation generator · Run or inspect the animation workflow


Contribution Arena

The grid is my real GitHub contribution history; the scene around it is a generated comic-book city with a swinging wall-crawler.

Original wall-crawler swinging across a comic-book city beneath the real contribution grid

LIVE CONTRIBUTION CALENDAR  |  REFRESH THE ARENA

How the arena is generated
  1. GitHub Actions generates light/dark contribution heatmaps from real profile activity.
  2. A repo-owned SVG script adds the web-slinger, strand, skyline, windows, halftone details, and mission HUD.
  3. Output SVGs publish to the output branch on pushes to main and a daily schedule.

Manual refresh: open the workflow above → Run workflow on main.


Development Loop

SPOT THE SIGNAL
      |
      v
TRACE THE ROOT CAUSE --> BUILD A FIX
      |                     |
      v                     v
TEST EDGE CASES <------ VALIDATE THE RESULT
      |
      v
SHIP SAFELY --> WATCH THE SIGNALS --> ITERATE

Move fast when exploring; slow down where correctness, data, and reliability matter.


Friendly Neighborhood / Co-op

Open-source collaboration, hackathons, AI experiments, practical product ideas — reach out.

GitHub profile Email contact

WITH GREAT POWER COMES GREAT DEBUGGING.

Independent Spider-Man-inspired fan theme. Not an official Marvel product.

Comic-book skyline themed footer in red and blue

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