Filip Michalsky is an AI-focused founder and engineer with eight years of experience building and scaling generative AI products and teams from prototype to production. Based in New York, he co-founded Soap Payments and previously led boutique AI strategy and implementation at Odyssey AI Partners, while shipping viral open-source vertical agents like SalesGPT. His background spans hands-on ML engineering—refactoring LLM integrations and adding Anthropic support for an extensible AI web-browsing framework—to leading large data science efforts at Fidelity, including deep learning recommendation systems and ML fairness work published at ICMLA. Filip pairs a Harvard computational engineering degree with practical startup grit, having co-founded multiple companies across fintech, real estate, and healthcare. He’s as comfortable refactoring backend LLM abstractions as he is advising growth-stage execs on AI strategy, and he often bridges academic rigor with pragmatic product execution. An underappreciated strength is his track record of converting research-grade models into user-facing systems that drive adoption and measurable business outcomes.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Process engineering IT and Management, Bachelor of Engineering (B.E.) Process engineering IT and Management at University of Chemistry and Technology in Prague (UCT Prague)
Bachelor of Engineering (B.E.) Chemical Engineering, Bachelor of Engineering (B.E.) Chemical Engineering at Technical University of Munich
CORe - Credential of Readiness Business Fundamentals, CORe - Credential of Readiness Business Fundamentals at Harvard Business School
Master's of Engineering Computational Science and Engineering, Master's of Engineering Computational Science and Engineering at Harvard University
Bachelor’s Degree Mathematics and Chemistry Double - Major, Bachelor’s Degree Mathematics and Chemistry Double - Major at Bates College
An AI web browsing framework focused on simplicity and extensibility.
Role in this project:
Back-end Developer
Contributions:9 reviews, 11 PRs, 22 pushes in 4 months
Contributions summary:Filip primarily focused on decoupling OpenAI from Stagehand and adding support for other LLMs. This involved refactoring the code to separate the LLM client into its own class and abstracting the LLM provider. They also worked on integrating Anthropic, demonstrating knowledge of different LLM APIs. Furthermore, the user updated existing examples and added improved logging for better debugging and monitoring of the codebase.
Context-aware AI Sales Agent to automate sales outreach.
Contributions:11 releases, 33 reviews, 109 PRs in 1 year 5 months
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