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Achievement: Pull SharkAchievement: YOLO

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sutejym122/README.md

Sutej Yadavanahalli Manjunath

I build cloud-native systems, observability platforms, automation tools, and AI-assisted developer workflows.

My recent work focuses on backend systems, release intelligence, full-stack products, cloud infrastructure, and tools that connect APIs, databases, automation, and user workflows.

Featured Public Work

TracePilot

Release intelligence and observability platform for small engineering teams.

Built with FastAPI, PostgreSQL, SQLAlchemy, React, TypeScript, Docker, Render, Vercel, and Neon.

  • Tracks services, releases, incidents, health checks, API metrics, and rollback readiness
  • Uses JWT authentication and user-scoped resources
  • Includes seeded demo data, API docs, screenshots, and local Docker setup
  • Designed like an internal engineering tool, not a basic CRUD app

Mirror

Regression testing for LLM prompts. Treats a prompt like code: versioned test suites, scored responses, and a pass/fail gate against a saved baseline.

Built with Python, SQLite, and GitHub Actions.

  • Runs YAML-defined test suites and scores each case with 3 scorers (structural, field-accuracy, similarity)
  • Gates a build on 3 checks (score floor, aggregate regression, per-case regression), with baselines scoped to suite + prompt version and fingerprinted to catch a stale baseline
  • SQLite-backed run history, GitHub Actions CI integration
  • 85 tests, ~90% coverage

OpenLoop

Surfaces refunds, replies, deadlines, and deliveries buried in email by connecting real Gmail accounts and turning relevant messages into trackable items.

Built with Go, PostgreSQL, React, TypeScript, the Gmail API, and Claude & OpenAI.

  • Incremental Gmail sync via Google OAuth
  • LLM extraction to convert raw emails into structured, trackable items
  • Lifecycle tracking that merges related emails, handles timezone-aware deadlines, and requires approval before sending follow-ups

Forensic Face Sketch

Forensic sketch construction and face recognition system using JavaFX, AWS S3, and AWS Rekognition.

FitForge iOS

Native iOS fitness app foundation built with Swift, Xcode, XCTest, and UI testing.

Portfolio

Developer portfolio built with React, Three.js, Vite, and Tailwind CSS to showcase projects, experience, and engineering work.

Private Work

I also build private automation tools for job-search workflows, resume generation, browser automation, application tracking, and developer productivity.

Current Focus

  • Cloud-native backend systems
  • Observability and incident response tooling
  • Full-stack product engineering
  • Automation platforms
  • AI-assisted developer workflows
  • C systems fundamentals

Tech I Work With

Python · C · JavaScript · TypeScript · Swift · FastAPI · React · PostgreSQL · Docker · AWS · Playwright · GitHub Actions · SQLAlchemy · REST APIs

Contact

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  1. Portfolio Portfolio Public

    Personal developer portfolio built with React, Three.js, Vite, and Tailwind CSS to showcase full-stack, cloud, and AI infrastructure projects.

    JavaScript

  2. FitForge-iOS FitForge-iOS Public

    Native iOS fitness app foundation built with Swift, XCTest, and UI testing.

    Swift

  3. Forensic-Face-Sketch Forensic-Face-Sketch Public

    Forensic sketch construction and face recognition system using JavaFX, AWS S3, and AWS Rekognition.

  4. TracePilot TracePilot Public

    Release intelligence and observability MVP linking services, releases, health checks, metrics, rollback readiness, and incidents.

    Python