Michal Traczewski
Software Development Manager @Chargebacks911
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WORK HISTORY
Software Development Manager @Chargebacks911
Building agentic AI tools using the Anthropic Claude API, GitHub, and AWS Lambda that autonomously research, generate code, and produce documentation — reducing manual effort across development and content workflows- Designing serverless AI pipelines that transition browser-based automation into fully API-driven agentic systems running without human intervention. Evaluating MCP and AI-assisted dev tools to establish best practices for human-AI collaboration- Spearheaded the architecture of an enterprise SaaS application from the ground up, leading a multidisciplinary team of backend, frontend, and QA engineers- Designed AWS-based architectures for scalability and high availability, leveraging microservices with Symfony and event-driven patterns (SQS, Lambda, API Gateway) — the same orchestration patterns now applied to agentic AI workflows- Engineered infrastructure as code with CloudFormation and introduced CI/CD pipelines with GitHub Actions, now extending these workflows with AI-powered code generation and automated review- Partnered with DevOps to establish a scalable, automated cloud environment. Orchestrated cross-departmental collaboration through sprint planning and strategic coordination to deliver high-impact features on time.
EDUCATION
The University of Computer Sciences and Skills in Lodz
Master's degree, System, Networking
SKILLS
ABOUT MICHAL TRACZEWSKI
Agentic Engineering Leader with 15+ years of experience designing scalable SaaS platforms and event-driven architectures in fintech. I build autonomous AI workflows where LLMs research, generate code, and ship work with minimal human intervention — powered by the Anthropic API, GitHub, and AWS Lambda.My expertise in microservices, serverless infrastructure, and CI/CD automation is what makes agentic systems work in production: loosely coupled components, async orchestration, fault tolerance, and clean deployment pipelines. AWS Solutions Architect Professional certified.I lead cross-functional engineering teams while staying hands-on — building AI-powered tools that eliminate repetitive work across development, research, and content workflows.Deep interests: Model Context Protocol (MCP), autonomous coding agents, AI-driven research pipelines, and the evolving role of AI as a first-class engineering team member.
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