01. Introduction

RETHORIQ

ret·thoriq/ˈrɛθɔːrɪk/

Hi, I'm Thoriq, a software engineer who spends half the day crafting scalable AI systems and the other half yapping, tweeting, and generally rethoriqing my way through tech conversations. I build ML-powered apps that actually solve problems, despite my constant urge to tweet about them first.

Currently architecting high-performance systems and practical LLM integrations—because talking about AI is fun, but making it useful is even better.

Want to chat, build something cool, or just join my daily rethoriqing? Ping me: thor@rethoriq.com

AI SystemsDaily RethoriqingTech YappingProblem Solving
Probably tweeting about AI right now
02. Technical Expertise
Core Stack
React + Next.js
FastAPI + PostgreSQL
Tailwind CSS

Modern web architecture focused on performance and scalability

AI/ML Systems
PyTorch
LLM Integration
Vector Databases

Building intelligent systems with practical applications

Growth Engineering
SEO Optimization
Performance Analytics
A/B Testing

Data-driven approach to scaling products

Infrastructure
AWS Cloud
Docker + K8s
CI/CD Pipelines

Robust deployment and scaling solutions

Development
TypeScript
Python
System Design

Type-safe and maintainable codebases

Tools & Methods
Git Flow
Agile/Scrum
Technical Writing

Efficient development workflows

03. Engineering Experience

BLACK ACE MEDIA

2025 - PRESENT · CA
NextjsTypescriptLLMPythonFastAPIPostgreSQLDocker
Software Engineer
Building cool stuff

PANDAI

2022 - 2025 · MY
NextjsTypescriptPythonFastAPIPostgreSQLDockerReactLLMSEOASO
Software Engineer (AI) & SEO/ASO Specalist
·Architected and led development of Math Drill, an LLM-powered educational platform processing 100k+ daily problems
·Implemented SEO and performance optimizations resulting in 10x traffic growth (100k → 1M monthly users)
·Developed AskPbot, an AI learning assistant with 98% user satisfaction rate and 50k+ daily interactions
04. Collections

Reading List

Tiny Experiments

Anne-Laure Le Cunff

76%
Productivity

Why Greatness Can't Be Planned: The Myth of Objectives

Kenneth O. Stanley - Joel Lehman

20%

Building Machine Learning Powered Applications

Emmanuel Ameisen

62%
ml systemsproduction