Software Engineer | AI, Full-Stack & DevOps
I build AI-driven products and scalable full-stack applications. Currently pursuing my M.Sc. in Applied Computing at Wilfrid Laurier University after earning a B.Sc. (Hons) in Artificial Intelligence and Computer Science from the University of Birmingham.
Previously, I led a team of 4 developers at HeySalad (London), shipping AI-powered features on AWS and Google Vertex AI that cut latency by 60% and accelerated release cycles. Before that, I built a 95%-accurate waste-classification model integrating IoT sensors as a research engineer, and interned in QA at Severn Trent Water.
Languages: Python, TypeScript, JavaScript, Java, SQL, C++, C#, Go, Rust Frameworks: React, React Native, Next.js, Node.js, Django, FastAPI, Spring Boot, PyTorch Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, Jenkins, Linux
React + Django app integrating IoT devices (camera, ultrasonic, RFID) with a PyTorch CNN classifier across 6 waste categories. Reduced bin overflow for 500+ weekly disposals and cut unnecessary trips by 20+ per week.
PyTorch React Django IoT Computer Vision
Social web app with a LightFM-powered recommendation engine that boosted user engagement by 30%.
Python LightFM Full-Stack
I'm currently open to internships and part-time contract roles in:
- 🤖 Software & ML Engineering — building AI-powered products that ship to real users
- 🌐 Full-Stack Development — React, Next.js, Django, FastAPI
- ⚙️ DevOps & Cloud — AWS, GCP, Docker, Kubernetes, Terraform, CI/CD pipelines
Based in Canada 🇨🇦 — open to remote, hybrid, and on-site opportunities.
- 📧 Email: danny.monds@gmail.com
- 📱 Phone: +1 (289) 698-3717
- 💼 LinkedIn: danielmonday-ogidi
- 💻 GitHub: @MondsCodes