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Hi, my name is

Pranav Gautam.

Software Engineer building real-time systems and production APIs.

I design and ship scalable backend services powering live event workflows, mobile apps, and operational platforms.

01. About Me

I'm a backend-focused software engineer with production experience designing and deploying real-time systems on AWS.

At Secreterrier, I architect backend services supporting live competition scoring and mobile workflows. I've shipped 17+ production features in 8 weeks shipping Secreterrier's first ever mobile app, implemented 200+ automated tests, and built a rules engine used across 8+ sport formats.

Previously, I served as the sole software engineer at Green Coral Agrisciences, replacing manual logistics workflows with a full-stack platform that reduced order processing time by 40%.

Here are a few technologies I've been working with recently:

  • Node.js + Express
  • Python + FastAPI/Flask
  • AWS, Docker, GitHub Actions (CI/CD)
  • MySQL, PostgreSQL, Redis
  • React + TypeScript
  • React Native (Expo)

Education

University of Florida · Aug 2022 - May 2024

Master of Science, Computer and Information Sciences

Medicaps University · Aug 2019 - May 2022

Bachelor of Technology, Computer Science

Pranav Gautam

02. Where I've Worked

Software Engineer @ Secreterrier

April 2025 - Present

Remote, USA

  • Led development of Secreterrier's first React Native mobile app (iOS · Android), shipping 17+ production features in 8 weeks and supporting real-time workflows for live events.
  • Built and deployed production services on AWS using Python and Node.js with MySQL, Redis, and Docker to power scoring workflows and client-facing dashboards.
  • Designed a rules-based "Titling" system supporting 8+ dog sports, centralizing complex scoring logic and edge cases into a single configurable system.
  • Implemented 200+ automated tests across backend + frontend to reduce release risk and improve deployment confidence.

Visit Secreterrier Website →

Middle School Teacher @ Success Academy Charter Schools

Sep 2024 - Apr 2025

New York City, New York, USA

  • Taught accelerated Math and Physics Regents curriculum and increased Physics Regents pass rate from 1.8% to 72% in 7 months through data-driven instruction.
  • Honored with the 2025 Excellence Award for exceptional student outcomes and instructional leadership.

View my 2025 Success Academy Excellence Award →

Software Engineer @ Green Coral Agrisciences Pvt. Ltd.

Jan 2021 - May 2022

Indore, MP, India

  • Designed and built a full-stack logistics and inventory platform (Flask · React · MySQL) replacing fully manual dispatch and warehouse workflows across three operational departments.
  • Implemented RBAC-secured REST APIs to support warehouse, billing, and management users with real-time stock visibility and automated dispatch scheduling.
  • Reduced order processing time by 40% by centralizing inventory tracking, eliminating paper-based errors, and streamlining operational coordination.
  • Containerized backend services with Docker and deployed to AWS EC2 using GitHub Actions CI/CD, maintaining reliable production releases without dedicated DevOps support.

Know more about Green Coral →

03. Some Things I've Built

GitHub Guide

GitHub Guide

AI-powered Git assistant generating safe, step-by-step commands across 9 guided workflows plus free-text troubleshooting. Includes guardrails for resets, merges, conflicts, and stash recovery.

  • JavaScript
  • Node.js
  • Express.js
  • HTML5
  • CSS
Twitter Clone

Twitter Clone

Distributed Twitter clone in Erlang supporting real-time tweet delivery, hashtags, mentions, and subscriptions for thousands of concurrent users. Uses fault-tolerant actor model with ETS in-memory storage.

  • Erlang
  • Distributed Systems
  • Concurrent Programming
Ready-to-Eat

Ready-to-Eat

Full-stack food ordering platform with 15+ REST APIs, real-time order tracking, loyalty rewards, and admin analytics. Deployed on Railway with GitHub Actions CI/CD.

  • React.js
  • Python
  • Flask
  • PostgreSQL
  • SQLAlchemy
Real Estate Price Prediction

Real Estate Price Prediction

End-to-end ML web app predicting Bengaluru housing prices across 240+ locations using scikit-learn. Flask API for real-time inference with lightweight UI for instant predictions.

  • Python
  • Flask
  • Machine Learning
  • Scikit-Learn
  • JavaScript

04. Get In Touch

I'm currently open to early–mid full-stack software engineering roles. If you're hiring or want to discuss a project, please reach out.

Say Hello