Open to opportunities

Albert Michalski

@albertmichalski

Message

Senior Full-Stack Engineer merging TypeScript, Python, and applied AI to build scalable products.

Poland

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What I'm looking for

I seek roles where I can lead full-stack and AI integrations, work with cross-functional teams, apply IaC and CI/CD, and drive measurable product impact.

I am a Senior Full-Stack Engineer with 9+ years building scalable, AI-powered digital solutions across fintech, SaaS, e-commerce, and data platforms. I specialize in uniting frontend and backend engineering with applied machine learning to improve decision-making and automate workflows.

At Mainmatter I engineered an AI-driven accessibility-as-a-service platform, architected a multi-tenant system on AWS with Kubernetes and Terraform, and integrated ML pipelines into CI/CD — achievements that improved scalability, release cadence, and model deployment times.

Previously, I delivered high-traffic fintech and e-commerce systems, built credit-risk scoring microservices, optimized AWS infrastructure to cut costs, and refactored monoliths into modular microservices while raising test coverage and developer velocity.

I mentor engineers, drive infrastructure-as-code and security best practices, and focus on maintainable, user-centric software that reliably scales and delivers measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Mainmatter

Mar 2021 - Present (5 years 3 months)

Engineered an AI-driven accessibility SaaS that onboarded 200+ enterprise users and cut manual review time by 15%; architected a multi-tenant Next.js/TypeScript and Node.js/Python system on AWS, improving scalability by 12% and release cadence by 20%.

Next.js TypeScript Node Python AWS Kubernetes Terraform CI CD

Software Engineer

STX Next

Oct 2017 - Mar 2021 (3 years 5 months)

Built fintech and e‑commerce platforms serving 50K+ users; developed a scikit-learn credit-risk microservice that improved loan approval precision by 21% and reduced defaults by 18%, and optimized AWS infrastructure to cut costs by 25%.

Python Django React scikit learn Kafka SQS Airflow Pytest Cypress

Full-Stack Developer

Netguru

Sep 2015 - Sep 2017 (2 years)

Developed data-driven SaaS handling 2M+ monthly requests; improved marketplace retention by 18% via behavioral analytics and reduced backend response time from 450ms to 150ms through query optimizations.