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Hi, my name is

Pranav Gautam.

Full-Stack Software Engineer building production web and mobile systems.

I ship end-to-end features across React Native, React, Node.js, and Python, including real-time workflows, AWS-deployed backend services, and CI/CD-driven deployments.

View My Work Get In Touch

01. About Me

I'm a full-stack software engineer with production experience building and shipping end-to-end features across React Native (Expo), React, Python, and Node.js. At Secreterrier, I led development of the company's first mobile app and shipped 17+ production features in 8 weeks, expanding the platform from web-only to real-time mobile workflows used at live events.

I also contributed to backend modernization by helping migrate core services from Python to Node.js, designed a rules-based "Titling" system that computes sport-specific titles from scoring data, and introduced 200+ automated tests to improve release stability and deployment confidence.

Outside of work, I build and deploy full-stack projects with a focus on automation, clean UX, and reliable backend systems.

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

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

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 →

03. Some Things I've Built

TechScope Daily

TechScope Daily

AI-powered dashboard delivering daily tech news, stock market data, and generated insights using Hugging Face models. Automatically ingests breaking news articles, performs sentiment and impact analysis, and generates unique daily tech facts with scheduled updates. Tracks pricing trends for 10+ major tech companies and displays key metrics like price changes, volume, and market cap. Deployed with GitHub Actions CI/CD (frontend on GitHub Pages, backend on Render) for reliable daily refreshes and secure cross-origin API communication.

AI-powered dashboard delivering daily tech news, stock market data, and generated insights using Hugging Face models with automated ingestion and scheduled updates. Tracks sentiment and pricing trends for 10+ major tech companies, deployed with GitHub Actions CI/CD (frontend on GitHub Pages, backend on Render) for reliable daily refreshes.

  • FastAPI
  • React.js
  • TypeScript
  • Python
  • SQLAlchemy
  • SQLite
  • REST APIs
  • JavaScript
  • GitHub
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