Gibran Ali - Software Engineer

Hello! 👋

I am a Software Engineer with 10+ years of experience building large-scale community platforms, real-time systems, and distributed backend services.

Architected and operated systems used by 13M+ users across 47,000 communities. Experienced with Node.js, React, Microservices, WebSockets, and AI-driven analytics.

My CV

Harbor

Harbor is a CRM and marketing automation platform that connects all audience data into a singular source of truth through no-code gamified digital experiences. Powers over 10 Million Users.

Full Stack Software Engineer

2023 - 2026

Shoob

Shoob is a unique and robust discord bot card game in over 48000 discord servers and a reach of 13 million discord users!

Founder and Lead Developer

2017-2024

Animesoul

Animesoul is the Worlds Largest Anime Discord Server. Over 750,000 users!

Founder and Lead Developer

2016-2024

WarrisKids

WarrisKids is a Pediatric Clinic serving hundreds of patients as a custom platform to manage histories, follow-ups, appointments, video consultations, & process payments + much more.

Founder and Lead Developer

2022 - Ongoing

MBTT

Created the software running the Medical Board of Trinidad & Tobago, digitized the national doctors register, integrated payments into the platform reducing in-person visits.

Project Lead & Developer

2021-2025

☝️🤓 Currently Learning

Game engine development
Read More

Started development on a basic custom game engine. Completed so far are sprite interactions, branching NPC dialogue support, a scheduling system that allows for dynamic events/timed events in game, multi threaded world rendering rendering, camera bounding limits etc.
AI Media Generation Pipelines
Read More

Able to optimize ComfyUI pipelines for increased accuracy of prompt generations. Can not only generate basic game assets of the same consistent art style, but can also generate multiple angles/views of the same asset. Lots of work (and potential) here.
ML & RAG Pipelines
Read More

Able to create a simple RAG nodejs AI app that loads context from a database and respond to questions based on the predefined context. This is ideal for embedded FAQ chatbots that lay users can modify responses easily from a web dashboard. Able to also optimize parameters to reduce hallucinations to near zero and currently learning model training to bypass RAG entirely for less dynamic applications and to increase performance.