LS

Laxmi Sathwika

B.Tech CSE (AI & ML) student · Full Stack Developer

Hyderabad, Telangana, India

@sathwika_chethi

0 followers

🎓 B.Tech in Computer Science Engineering (AI & ML) at VNR Vignana Jyothi Institute of Engineering and Technology · Graduating 2028

About

Full stack developer and B.Tech CSE (AI & ML) student with hands-on experience building and deploying MERN stack applications. Experienced in REST APIs, authentication, database design, Docker, CI/CD, and cloud deployment, with an AI agent memory integration project.

Experience

  • Intern
    VJ Startups
    Jun 2026 – Jul 2026

    Contributed to core development tasks on Cluster Compute, a distributed systems project. Deployed the application on a live college server and configured nginx as a reverse proxy for request routing. Set up a custom domain using Cloudflare DNS, making the application accessible over the internet.

Education

  • B.Tech in Computer Science Engineering (AI & ML)
    VNR Vignana Jyothi Institute of Engineering and Technology
    Computer Science & Engineering (AI & ML) · 2024 – 2028
  • Intermediate
    Resonance Junior College
    Science · 2021 – 2023

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git Vite Linux Nginx Redis Docker GitHub Render Vercel MongoDB Postman VS Code PostgreSQL MongoDB Atlas GitHub Actions

Projects

  • MongoDB, Express.js, React.js, Node.js, Docker, nginx, CI/CD

    Built a full-stack MERN queue management system that reduced estimated patient waiting time by 40% through real-time scheduling. Implemented role-based access control for 2 user types (patients and staff) with separate dashboards. Developed 4+ REST APIs for appointment booking and queue tracking. Containerized the app with Docker multi-stage builds and deployed it through a CI/CD pipeline to a cloud server behind an nginx reverse proxy. Integrated Hindsight, an agent memory library, to power an AI Patient History card on the doctor dashboard and ran Hindsight via Docker Compose with a Groq-hosted LLM.

  • JavaScript, MongoDB, Node.js, Docker, GitHub Actions, nginx

    Built a web platform connecting food donors and recipients, reducing food wastage through efficient request-donation matching. Developed food listings, donation requests, and coordination workflows, with MongoDB as the primary database. Automated deployment with a GitHub Actions CI/CD pipeline to a Dockerized production environment with an nginx reverse proxy.

🏆 Achievements & awards

  • Echo Hackathon

    Participated and ranked among the top 15 teams.

  • Krithoa-thon Hackathon · 2025

    Qualified for Round 2 among first-year participants.

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