Maxwell Aboagye
Software Developer | Backend & Full-Stack
I build production-grade software systems that solve real problems. From AI-powered platforms to high-performance data pipelines, I combine computer science fundamentals with practical engineering to create reliable, scalable solutions. Based in Hamburg, focused on turning complex challenges into elegant code.
About Me
I'm a software developer focused on building systems that work. My foundation comes from a Computer Science degree combined with intensive hands-on project work and advanced technical training in DevOps, cloud infrastructure, and modern development practices.
My technical approach emphasizes production-quality standards: proper testing, error handling, deployment strategies, and maintainable code. I've built an AI-powered pitch evaluation platform processing multi-format inputs, a multithreaded Java pipeline handling 10,000+ records with strict validation, and full-stack web applications with authentication and security.
During an operational role at Amazon, I identified workflow inefficiencies and built automation tools on my own initiative, demonstrating the problem-solving mindset that drives my development work. I'm now seeking opportunities where I can apply these skills in a professional engineering team and contribute to impactful projects from day one.
Languages
English (Native) • German (B2) • Italian (C1)
My Journey
From Computer Science Graduate to Building Production Systems
Bachelor of Science in Computer Science
Free University of Bozen-Bolzano
- ▸Specialized in Software Engineering, Distributed Systems, Algorithms, and Database Systems
- ▸Bachelor Thesis: Engineered 'Pista', an AI-powered pitch evaluation platform using Next.js, TypeScript, and OpenAI API
- ▸Relevant Coursework: Compiler Construction, Mobile Development, Database Management, Data Mining
- ▸Strong foundation in computer science fundamentals and practical software development
Advanced DevOps & Cloud Engineering Training
Professional Development
- ▸Completed 400+ hours of intensive DevOps engineering coursework covering production infrastructure and modern deployment practices
- ▸Mastered Docker containerization, Kubernetes orchestration, CI/CD pipeline automation, and infrastructure as code
- ▸Gained practical experience with AWS services (EC2, S3, Lambda, RDS), Terraform, Ansible, and Linux system administration
- ▸Applied concepts through hands-on projects: automated deployments, infrastructure provisioning, and monitoring systems
Operations Associate
Amazon Deutschland Transport
- ▸Coordinated logistics operations including KPI tracking, route monitoring, and fleet management
- ▸Created performance dashboards using Amazon Quicksight for operational decision-making
- ▸Self-initiated: Engineered JavaScript browser extension automating workflow inefficiencies, demonstrating problem-solving initiative beyond core responsibilities
- ▸Applied programming skills to identify and solve operational bottlenecks
Featured Projects
Pista - Pitch Evaluator System
A serverless full-stack application for automated startup pitch analysis. Engineered a robust backend with Convex to handle multi-format inputs (audio, text), implementing rate limiting and caching. Integrated OpenAI GPT-4 and Whisper for structured analysis and transcription.
DSP Communication Extension
A production-grade browser extension used daily by Amazon operations. Automates data entry workflows, reducing process time by 90 minutes/day. Features a complete GitHub Actions CI/CD pipeline including automated testing, build validation, and Mozilla signing.
