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Alex Lukashevich

Alex Lukashevich

Chief AI Officer | Field CTO | Making AI practical, predictable, and less scary

Miami-Fort Lauderdale Area, Florida, United States
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Joined April 2025
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Forte Group

Summary

Alex Lukashevich is a recognized leader in Artificial Intelligence strategy and implementation. As Chief AI Officer at Forte Group, he focuses on making AI practical and predictable for organizations, often writing about topics such as LLM architectures, AI in code generation, and the strategic build-vs-buy decision for AI solutions. His work aims to empower companies to define and deliver value through technology. fortegrp+3
With a career trajectory from QA Automation Engineer to Head of Development Services and Field CTO, Alex possesses a deep understanding of the software development lifecycle. His article on 'The best worst QA (and Organizational) metrics' highlights his critical perspective on traditional quality assurance measurements and his focus on comprehensive approaches to product quality. fortegrp
Alex demonstrates an innovative mindset, evidenced by his co-inventorship on a patent application for 'Electronic peer-to-peer negotiations.' He also contributes his expertise to the broader tech community, notably serving on the Blastland Advisory Board, indicating his involvement in cutting-edge AI-powered data intelligence initiatives. justia+2

Work

Education

Projects

Writing

AI: Build vs. Buy: The Strategic Choice That Defines Your Future

August 1, 2025

An article discussing the strategic decision for organizations to either build custom AI solutions or buy off-the-shelf products, emphasizing data control, compliance, and long-term independence.

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Anthropic’s Findings on Software Development Efficiency

May 1, 2025

An analysis of a study by Anthropic on how Large Language Model (LLM)-based copilots impact developer speed, code quality, and confidence, providing strategic guidance for technology leaders on effective AI adoption in development workflows.

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Operationalizing Agent Collaboration in Cybersecurity with MCP

An article exploring the Model-Context-Protocol (MCP) framework applied to cybersecurity, demonstrating how autonomous agents can coordinate for tasks like threat investigation and incident triage, emphasizing explainability, modularity, and extensibility.

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The best worst QA (and Organizational) metrics

An article discussing the pitfalls of over-relying on common QA metrics like automation coverage, defect removal efficiency, and test case pass rate, and suggesting additional metrics for a holistic understanding of software quality.

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