Mohammed Saidu | Software Development Engineer

About

I'm a software engineer and former SDE at AWS Dublin, where I worked on the CloudWatch Predictions team maintaining ML-powered anomaly detection services processing millions of customer metrics across 50+ AWS regions. My experience spans time-series forecasting, distributed systems, and production incident resolution at scale.

Before AWS, I graduated from Maynooth University with a BSc in Computer Science in 2025. I've always been into computers from a young age, whether that was building PCs or getting into robotics and embedded systems, so software development was always the direction I was heading.

To fund my way through college I worked as a chef, first at Stone Haven restaurant and then at the West Grove Hotel. The passion for food stuck with me even after hanging up the apron. Outside of work I run an extensive homelab with Raspberry Pi clusters, Docker containers, and self-hosted services. I'm passionate about automation, local AI inference, and building tools that solve real problems like my Amazon FBA research platform that helps sellers make data-driven sourcing decisions.

Experience

2025 — 2026
Software Development Engineer (L4) Amazon Web Services
Maintained ML-powered anomaly detection on the CloudWatch Predictions team. Processed millions of customer metrics across 50+ AWS regions using Holt-Winters time-series forecasting, DynamoDB, and microservices architecture. Handled production incident resolution for critical monitoring infrastructure.
- Java
- Python
- DynamoDB
- CloudWatch
- Microservices
- Holt-Winters
2023 — 2025
Chef Westgrove Hotel
Worked as a chef while completing my Computer Science degree, managing high-volume kitchen service and maintaining quality standards under pressure.
- Kitchen Operations
- Time Management
- Team Coordination
2021 — 2025
BSc Computer Science Maynooth University
Graduated with a degree in Computer Science. Projects included Arduino-based hardware systems, computer vision applications, and embedded systems.
- Python
- Arduino
- OpenCV
- C++
- Embedded Systems
2019 — 2023
Chef Stone Haven
Developed strong work ethic and discipline in a fast-paced restaurant kitchen, balancing culinary responsibilities with college coursework.
- Kitchen Operations
- Time Management
- Multitasking

View Full Curriculum Vitae

Projects

FBA Research Tool
Product intelligence platform for Amazon FBA sellers. Tracks prices and BSR rankings across 1M+ price records, discovers deals with AI-powered supplier lookup, and monitors watchlisted products for buy-timing opportunities. All self-hosted on a homelab with zero cloud cost. Actively developed with new features shipping regularly.
- Next.js
- AI
- Amazon API
- Self-Hosted
YOLO Turret System
Real-time computer vision turret that detects, tracks, and follows targets with sub-200ms latency. Built a pipeline from USB camera → YOLOv8 inference → coordinate mapping → Arduino serial commands → servo motor control.
- YOLO
- Arduino
- OpenCV
- Python
CloudWatch Predictions
ML-powered anomaly detection at AWS scale, processing 10M+ metrics daily across 50+ regions. Enables proactive alerting and capacity planning for AWS customers worldwide.
- AWS
- ML
- Time Series
- Java
Homelab AI Infrastructure
Self-hosted LLM inference cluster with Raspberry Pi + x86, running Ollama with Docker-based microservices. Zero cloud cost, accessible from anywhere via Tailscale.
- Docker
- Ollama
- Raspberry Pi
- Tailscale
Esha Agro Farms
Freelance client project for a local farm in Nigeria looking to gain visibility and sell more product. Built the site from scratch using Astro 5 and Tailwind CSS, deployed through Cloudflare Pages with Git-based CI/CD. The client provided imagery and I put together the full site architecture and design. Communications throughout were great, the client is really happy with the end result, and since launch the site has been driving real traffic and orders.
- Astro
- Tailwind CSS
- Cloudflare Pages
- Vanilla JS