I build software that solves real problems, not tutorial clones. My work sits at the intersection of backend engineering and applied AI: designing APIs, automating operations, and shipping SaaS products that businesses actually depend on.
I'm a Computer Science student and the founder of PLSTech, where I'm building PLS Nexus (AI-powered talent intelligence) and PLS Jarvis (a full AI assistant ecosystem: FastAPI backend, web app, and mobile scaffold). Alongside product work, I write production-grade Python and I'm actively growing my Go skills, and I care a lot about clean architecture, data quality, and systems that hold up outside a demo.
I also learn and teach in public. Most of what I know came from building things badly first, so I document the process and share it, whether that's a livestream, a repo, or a write-up, so other developers can skip some of the friction I didn't.
Reach me: petereluwade55@gmail.com · LinkedIn
Right now, I'm focused on:
- Building PLS Nexus into a production-ready SaaS platform
- Writing backend systems in Go and Python that are boring in the best way (reliable, testable, observable)
- Applying AI to real business workflows instead of chasing demos
- Teaching backend, Python, and Go through live sessions and content
- Contributing to and maintaining open-source tools
PLS Nexus is an AI-powered SaaS platform helping businesses automate workflows, customer interactions, productivity, and day-to-day operations using modern AI technologies. It's under active development as the flagship product of PLSTech.
|
A JARVIS-inspired AI assistant: FastAPI backend (multi-provider AI with automatic fallback across Gemini/OpenAI/Anthropic/Groq/OpenRouter, device command routing, credits + Paystack payments, admin dashboard, RAG semantic cache), a React PWA with voice input/output, and a React Native (Expo) Android scaffold. Stack: Python · FastAPI · React · TypeScript · React Native (Expo) · Supabase · PostgreSQL
|
AI-powered resume/talent intelligence backend. FastAPI + PostgreSQL + JWT authentication, Gemini AI integration with schema validation before AI output touches the database, a circuit breaker pattern built from scratch to stop cascading failures, and graceful handling of corrupted/unreadable uploads. Stack: Python · FastAPI · PostgreSQL · SQLAlchemy (Async) · JWT · Gemini AI
|
|
Production-grade Python pipeline for cleaning and standardizing Nigerian SME transaction data, with validation reporting and automated sanitization. Stack: Python · pandas · ETL
|
Healthcare assessment platform for patient registration, screening, and clinical workflow management. Stack: React · TypeScript
|
|
Personal portfolio showcasing AI, backend, Python, Go, and SaaS projects. Deployed on GitHub Pages. Stack: HTML · Bootstrap · Python · Go
|
Source code from my Python, Go, AI, and web development tutorials and live coding sessions. Stack: Python · Go
|
|
A production-ready, serverless contact system for my portfolio, handling text and file-attachment submissions directly from a static site while keeping API keys secure. See the dedicated section below for the full breakdown. Stack: Cloudflare Workers · Resend Email API · JavaScript · HTML/CSS
|
|
I designed and deployed a production-ready contact system for my portfolio, replacing a basic form service with a custom serverless backend. It lets visitors submit project requests with file attachments (logos, documents, briefs) directly from the site, while API keys stay secure server-side through Cloudflare Worker Secrets — nothing sensitive is ever exposed in the frontend code.
Stack:
Engineering challenges solved:
- Building a backend for a static site with no traditional server
- Handling multipart form submissions containing both text fields and files
- Sending email attachments programmatically through the Resend API
- Configuring CORS so the GitHub Pages frontend could call the Worker safely
- Managing API keys securely using Cloudflare Worker Secrets instead of exposing them client-side
- Debugging a live third-party API integration end-to-end
- Deploying and testing a serverless function in production
I teach programming publicly across a few platforms, covering Python, Go, backend development, AI, software engineering, building SaaS products, and automation.
Languages
Frameworks & Platforms
Data & Infrastructure
Tools
| Stage | Focus |
|---|---|
| Completed | Core Python fundamentals, first client and personal websites, first production data pipeline (Nigerian SMB Data Sanitizer), production contact system for portfolio (Cloudflare Workers + Resend), PLS Jarvis backend + web app |
| Learning | Go, distributed systems, system design, cloud deployment, AI agents |
| Building | PLS Nexus (AI talent intelligence platform), PLS Jarvis (mobile app), backend services in Go, public teaching content |
| Future Goals | Scale PLS Nexus to paying customers, ship PLS Jarvis mobile, contribute to major open-source projects, grow a teaching audience across platforms |
- PLS Jarvis — AI assistant ecosystem: FastAPI backend and React PWA fully implemented; React Native (Expo) Android app scaffolded, native device wiring in progress
- PLS Nexus — AI-powered resume/talent intelligence backend (FastAPI, PostgreSQL, JWT auth, PDF text extraction and schema-validated AI output shipped; candidate scoring and job matching in progress)
- Weekly LinkedIn Live — Python classes taught in public
- Go Backend Services — production-oriented backend systems and APIs, as I grow from Go fundamentals
- Open-Source Projects — tools and utilities for other developers
