Jordan Conklin

Hi, I'm Jordan!

I'm a software engineer and founder based in Fremont, CA. I build AI-powered consumer products, and I'm currently focused on scaling BravoBall across iOS and Android.

About Me

Get to know me!

I graduated from UCLA with a B.S. in Cognitive Science focused on computer science and psychology, plus a minor in Data Science Engineering. I build products at the intersection of AI, mobile apps, and consumer behavior.

My main project is BravoBall, an AI-powered soccer training app I founded and engineered across iOS, Android, and backend systems. It has reached 9,000+ downloads, a 4.8-star rating, and 3,600+ completed training sessions. Right now, I am focused on making BravoBall a better user experience for athletes while exploring ML tooling for soccer clip analysis.

I am also a former Software Development Engineer at Amazon, where I built workflow components for LLM-driven ranking-quality tooling, AWS Lambda and SQS pipelines, and a React interface for non-technical product teams.

Outside of engineering, I run ConklinOfficial as a content creation brand with 400k followers, and I enjoy traveling, rock climbing, and exploring new foods.

Feel free to checkout my resume or my social media platforms on hoo.be. My email is jordan@conklinofficial.com if you have any questions!

My Skills

Python

Typescript

Java

Dart

SQL

Swift

C++

Go

FastAPI

React

NextJS

Spring Boot

AWS

Docker

Render

Postgres

Firebase

GitHub Actions

S3

AI Agents

Product Management

Data Modeling

Microservices

Projects

BravoBall

Featured Project

BravoBall

Founder and full-stack engineer for an AI-powered soccer training app live on iOS and Android with 9,000+ downloads, a 4.8-star rating, and 3,600+ completed training sessions. Built the Flutter/Dart mobile app, Python/FastAPI backend, Render Postgres deployment, Firebase notifications, and a personalization engine that ranks drills by skill area, equipment, user preferences, and target duration. Current production code is private; linked repos are earlier public versions.

BravoBall - Landing Page

BravoBall - Landing Page

Marketing and product site for BravoBall user acquisition, product education, and download conversion. Built with TypeScript, React, Next.js, and Node.js.

Fork - AI Nutrition App

Fork - AI Nutrition App

Backend software engineer for a production nutrition app serving 10,000+ students. Improved Firestore and REST API infrastructure, expanded data scraping pipelines with Beautiful Soup, and helped increase app capacity and engagement.

ConklinOfficial - Personal Brand Landing Page

ConklinOfficial - Personal Brand Landing Page

Personal soccer brand platform supporting programs, mentorship, and product sales for a 400k-follower audience. Built with Spring Boot, React, TypeScript, and Node.js.

RetroTune - Spotify Playlist Generator, LA Hacks 2024

RetroTune - Spotify Playlist Generator, LA Hacks 2024

Hackathon project that curates Spotify playlists from an Instagram feed using Reflex.py and the Gemini API.