Hi, I'm Mike
Product & AI Strategist | Startup Advisor
I consult early stage teams and venture capital research looking to turn ambitious ideas into scalable, data-driven products. Combining 20+ years of experience in software, data/analytics, and product strategy.
About Me
With over 20 years of experience across AI, data science, and software product leadership, I specialize in helping organizations of all sizes design and deliver technology that scales.
As a team member and advisor, I've supported founders in refining product-market fit, de-risking technical decisions, and building pragmatic roadmaps that attract investors and customers alike. My background blends hands-on engineering with strategic product thinking, making me a trusted partner for venture firms evaluating early-stage opportunities.
If you're a VC or startup founder looking for guidance at the intersection of AI, product strategy, and scalable architecture get in touch.
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Latest Projects
Here are some of the projects I'm currently working on. Each one touches on different skills, challenges, and learning experiences.
Semrush Enterprise Collaboration Platform
Problem: SaaS companies typically bolt on basic help features, but SEO teams need deep collaboration between internal teams, platform, and external experts.
Solution: Led development of an integrated suite combining Slack-style chat, Kanban tasks, meeting booking, smart docs, and expert marketplace. Navigated complex build-vs-buy across 5+ tool categories.
Impact: Transformed Semrush client and colleague experience, expanding professional services reach while eliminating expert vetting friction.
"An example of how platform expansion unlocks revenue streams while solving real workflow pain."
Helperee.io
Evolution: Started as a learning project to create a PDF chat tool, now experimenting with agentic project management and data cataloging software.
Current Focus: Project management agent (chat-to-Jira integration) and data contract agent (swagger-to-catalog automation). Built for rapid agent prototyping and iteration.
Vision: Personal laboratory for exploring AI agent patterns that solve real workflow pain points before they become mainstream solutions.
"From simple PDF chat to specialized agent development. Sharpening my iterative product thinking and indulging my technical curiosity."
Predictive ML Experiments
Challenge: Exploring ML techniques in notoriously difficult prediction domains. Sports predictions like horse racing and forex trading.
Applications: Horse racing predictor (48% hit rate accuracy) parsing race data and training daily models, plus EUR/USD trading signals (50% profitable entry accuracy).
Learning Focus: Real-world data parsing, feature engineering for time-series predictions, and model performance in high-noise environments.
"Sharpens data pipeline skillset and satisfies my curiosity in what is possible with data and compute."
Get In Touch
Interested in working together or have questions? Feel free to reach out to me using the form below, schedule an intro call or connect on LinkedIn.