🏅 100% Job Success Score
Trusted by teams at Bloomberg, AMEX, and VC-backed companies
I help established companies explore and implement practical AI capabilities — without hype, wasted engineering effort, or risky rewrites.
Most organizations know AI will impact their business, but struggle with questions like:
• Where can AI actually create value in our workflows?
• How do we prototype ideas before committing to major investments?
• How do we integrate AI into existing systems safely?
This is where I help.
I work with product leaders, engineering teams, and executives to:
• Prototype AI-powered workflows and internal tools
• Validate ideas before committing engineering teams
• Design practical LLM integrations with existing systems
• Translate business problems into technical AI solutions
• Modernize legacy systems to support AI capabilities
My work typically involves small, focused engagements that quickly answer strategic questions or produce working prototypes.
Clients bring me in when they want senior technical judgment without hiring a full-time AI team.
Selected client feedback
"It was amazing working with Tomas. He was very communicative and made sure he had all information in hand before making any move."
"My favorite part of working with Tomas is that he makes it easy. What was supposed to be a 1-2 month project turned into many more."
"Best developer I have EVER worked with."
Typical engagements
• AI opportunity discovery sessions
• Rapid AI prototype development
• LLM integration architecture
• Legacy system modernization for AI workflows
• Technical advisory for AI initiatives
• Internal tooling powered by LLMs
Technical background
20+ years building production systems across multiple stacks and industries.
Hands-on experience with:
• LLM platforms (OpenAI, Claude, Gemini)
• Python / FastAPI / Django
• Node.js / TypeScript
• React
• .NET
• Cloud platforms (AWS, Azure, GCP)
• Databases and large-scale backend systems
Tom K. earns an estimated $9.6k/mo. That's 6.5× the typical freelancer and more than 99.86% of everyone we track.