Featured Project

Run App — Fitness Platform

Released

My first project at DRCODE (as an intern), built ground-up: a microservice fitness platform with Strava/Garmin sync, a Flask ML pace predictor, and Gemini-powered run analysis.

Released Portfolio Build Astro · React · NestJS

Project Snapshot

Status Released

Project Type Portfolio Build

Core Stack 10 technologies

Access Private build

Overview

Project Snapshot

A running/fitness platform that generates phased workout plans, tracks activities, and gives AI feedback on runs. I built it from the ground up as an intern.

It syncs real data from Strava and Garmin (full OAuth 2.0), predicts training paces with a scikit-learn model, and analyzes runs lap-by-lap with a Google Gemini agent that sends summaries over WhatsApp.

Key Features

Overview

01

Architecture

Astro/React frontend with 5 NestJS microservices (API + Strava/Garmin connectors) and a Python/Flask ML service.
3 PostgreSQL databases (~20 Prisma models), Redis + BullMQ queues, deployed to AWS EC2 via GitHub Actions.
Exposed as an MCP server so an AI agent can drive the app.

Tech Stack

Core Stack

Astro
React

Application Layer

NestJS
Node.js

Data & AI

Python
Flask

Delivery

PostgreSQL
Prisma
Redis
AWS EC2

Previous Project

UPSCash

Cash-reconciliation automation for a US department-store chain — matches each store's end-of-day register cash against QuickBooks and flags the discrepancies that matter. Built in about two weeks.

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Next Project

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DRCODE's main product — agents that test APIs and UIs on their own. I built the UI-testing toolkit from scratch and fixed/improved the API E2E side.

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