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Achievement: QuickdrawAchievement: Pair Extraordinaire

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ApparentlyTejas/README.md

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About me

I build across the stack: backend APIs, full-stack web apps, AI features, and MCP tooling. I lean toward projects that get tested against real conditions, not just demoed once and shipped.

  • 🧪 I test things by actually breaking them: race conditions under real concurrent load, clean-checkout runs, chasing down query-planner behavior instead of trusting the first benchmark number.
  • 🛠️ Backend: FastAPI/Flask APIs, PostgreSQL. AI: LLM-powered features, Anthropic/OpenAI SDKs. MCP: building servers and tools that let models act on real systems. Full-stack: React + TypeScript. Infra: Docker, AWS (EKS, multi-tier deployments). Also comfortable in C++.
  • 🎓 Software engineering student, currently exploring internship / working student opportunities.

Tech


Featured projects

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  1. RoomLock RoomLock Public

    Concurrency-safe room-booking API: found a real double-booking race condition under load, fixed it two different ways, and load-tested both.

    Python 1

  2. ReviewLenzAI ReviewLenzAI Public

    AI-powered GitHub PR reviewer: sign in, pick a PR, get structured findings ranked by severity. Live at reviewlenzai.vercel.app.

    TypeScript 2

  3. incident-lens incident-lens Public

    Role-aware, evidence-backed MCP server over BGL and OpenStack logs in SereneDB

    Python

  4. DevPulse DevPulse Public

    AI-powered engineering-ops platform: service monitoring, metrics, and incident management, exposed to Claude via MCP.

    Python 7

  5. Personal-Task-Manager-API Personal-Task-Manager-API Public

    Async REST API for managing tasks, built with FastAPI, PostgreSQL, and Docker.

    Python 8

  6. Django-App-on-AWS Django-App-on-AWS Public

    Django blog app deployed on AWS (ALB, Auto Scaling, RDS, S3, Lambda, DynamoDB, CloudFront, Route 53) for an AWS capstone project.

    Python 6