Vetted Technical Leads

Mike Henniger

Screened ReferencesStrong rec.

Staff Software Engineer specializing in scalable backend and full-stack web systems

Burlingame, CA32y exp

“Frontend-leaning full-stack product engineer with IMVU experience who designed both user-facing flows and the production telemetry behind them. Most notably, they built a JavaScript crash detection system using signature-based aggregation and Redis that helped reduce crash volume from millions per day to tens of thousands, and they pair that reliability mindset with reusable UI architecture and onboarding design for consumer social products.”

“Deloitte consultant who led cross-functional teams delivering a Snowflake/AWS data ingestion, warehousing, and analytics platform, with a strong track record of executive alignment and risk mitigation. Built reusable business-development accelerators (including an end-to-end Appian app and a Java integration-config tool) credited with helping secure $75M+ in contracts, and has high-confidentiality experience consulting for DoD and FDA.”

Aidong Chen

Screened

Executive Data Platform Engineer specializing in kdb+/q and time-series systems

Orion Township, MI12y exp

“Veteran kdb+/q engineer with 17 years of experience applying time-series architecture across finance, autonomous driving, semiconductors, and scientific data systems. He describes building high-scale CEP and sensor-data parsing systems, achieving a 10x ingestion speedup through storage redesign, and even contributing the original remote_execute concept to PyKX.”

“Engineering Manager/Tech Lead on Grindr’s monetization team who helped ship an AI-powered conversation summary feature (A-list), contributing across Android freemium implementation and backend LLM workflow service architecture/reviews. Demonstrated strong operational ownership by leading a Boost production incident from detection through rollback and prevention, and improved team throughput by introducing a lightweight end-to-end delivery process in a high-growth environment.”

“Frontend tech lead at HubSpot who shipped an LLM-powered insights dashboard that analyzed complex customer interaction histories and surfaced sentiment, challenges, and next-best actions for sales users. Stands out for having taken an AI feature beyond prototype into beta and full production, with strong emphasis on testing, maintainability, and practical production tradeoffs.”

“Executive MBA candidate exploring entrepreneurship with exposure to the venture capital ecosystem (including an investor-focused conference). Highly committed to building a product from the ground up and uses authenticity, market fit, and personal expertise alignment as key criteria for pursuing new ideas.”