NishA Acharya is a tech talent executive and career strategist with 14+ years of experience placing engineers and consultants at Ernst & Young. As US Talent Acquisition Recruiting Lead for EY Technology Consulting, she has built pipelines for some of the most sought-after tech roles in consulting, with a growing focus on AI, Physical AI, and Robotics. She runs 'The Leverage' newsletter, helping tech professionals navigate career growth, and speaks at Women in Tech events globally on recruiting, STEM, and how to build a career that compounds.
Katie Harbath is the founder and CEO of Anchor Change and Chief Global Affairs Officer at Duco Experts, widely known as the 'election whisperer to the tech industry' (Foreign Policy). After a decade at Facebook building the global elections policy team from scratch - eventually managing 60 people across 40+ countries - she left in 2021 to launch her own consulting firm and newsletter. Her weekly Substack 'Anchor Change' and podcast help readers and clients navigate the chaos at the intersection of technology, politics, and democracy, guided by her signature philosophy: panic responsibly.
Christoph Molnar is a Munich-based statistician-turned-ML-author who turned a side project into the field's most-cited book on interpretable machine learning. Author of six books including the canonical 'Interpretable Machine Learning' (3rd ed., 2025), he runs the Mindful Modeler newsletter and consults on making black-box models explainable. With 16,000+ Google Scholar citations and a PhD from LMU Munich, he sits at the precise intersection where statistical rigor meets machine learning pragmatism.
Hamel Husain is a machine learning engineer with 25+ years of experience who built part of the foundation beneath GitHub Copilot - his CodeSearchNet project was early LLM research later used by OpenAI for code understanding. Today he runs Parlance Labs, consults with AI teams across 35+ products, co-authored O'Reilly's 'Evals for AI Engineers', and teaches thousands of engineers how to move beyond vibes and actually measure their AI systems.
Michael Feathers is a software consultant, author, and Chief Architect at Globant whose 2004 book 'Working Effectively with Legacy Code' redefined how developers think about untested code - coining the now-universal definition that legacy code is simply code without tests. With over 25 years consulting hundreds of organizations, he pioneered dependency-breaking techniques that gave teams a way into codebases they feared. Today he explores how AI reshapes programming, writes the 'mechanisms' newsletter on Substack, and continues speaking at conferences worldwide.
Muhammad Umair is a Pakistan-based AI consultant, ML engineer, and PhD researcher who has spent seven-plus years building machine learning systems that actually ship. He leads AI training at atomcamp, has driven AI initiatives for UNDP Pakistan, and has built three AI SaaS products end-to-end. His PhD research at UESTC focuses on multimodal test-time adaptation and low-resource learning - the kind of work that makes AI usable in places where data is scarce and compute is expensive.