Summary
Michael Els is an SVP of AI Engineering who turns companies into profitable AI organizations, building models, teams, and infrastructure from zero while still shipping production code. With a Harvard PhD in ML and causal inference and 15+ years of experience, he has scaled AI at startups and enterprise products—most notably growing MaxPoint from a small team to a public company and introducing AI across three InMarket business lines with measurable ROI. He blends deep technical expertise (causal inference, RL, recommender systems, LLM orchestration, multi-agent pipelines) with operational rigor, having filed 20 patents and architected systems that run 100K QPS at sub-10ms latency. Equally comfortable reporting to CTOs/CEOs and writing code in Python/Spark on GCP, he focuses on shipping scalable, revenue-driving systems rather than novelty research. A practical innovator, he established company-wide engineering standards and a playbook for agent-driven development that balances LLM capabilities with deterministic guardrails.
11 years of coding experience
5 years of employment as a software developer
M.A., Economics, M.A., Economics at Duke University
Honours, Economics, Honours, Economics at Stellenbosch University
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Harvard University
English, Afrikaans