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Multimodal Al Research and Media Gen Product at MAI Superintelligence | ex-Netflix (PM Lead GenAl Research) | ex-Twitter (Multimodal Al Lead) | 10 years in Generative Al Research
I help AI research teams hill-climb and ship frontier models from 0-1. And I prototype harnesses and control layers to turn emerging GenAI capabilities into relatable product experiences. Currently the Lead PM for Multimodal Research on Mustafa Suleyman's Superintelligence Team at Microsoft AI. Responsible for 0-1 foundation model research in image gen, video gen, code gen, world models, and speech understanding/synthesis. Expanded scope to own all Media Gen products on Copilot, including OpenAI model deployment + scaffolding. As a hands-on Research PM, I contribute to technical decisions and ablations across the research lifecycle, e.g.: - annotation experiments and evals (e.g., VLM captioner alignment) - quality evaluation in nondeterministic systems (both human and machine evals) - post-training and alignment (SFT and RL), model behaviors - system prompting and agentic harnesses - safety guardrails operating at global scale Through this process, I've helped research teams hill-climb 7+ models to the the top-5 of LMArena and the top-1 of key benchmarks. I shipped MAI's first in-house models: Voice-1, Transcribe-1, Image-1, Image-2, Image-2e (efficient) I've also led significant turnarounds in response quality and model behavior in key domains for our global conversational AI product. Part of my job is to predict where the technology is going next. To do that, I partner with research leadership to define research roadmaps, and I prototype novel problem formulations and harnesses to deliver the next set of breakthroughs. --- At Netflix I built Studio GenAI from 0-1 globally, working with filmmakers, game devs, and AI researchers to train and fine-tune text, image, and video generation models for film and games. I partnered closely with creators - including Academy Award and Emmy winners/nominees - to pioneer artist-driven methods for GenAI alignment, contro
Duke University
Summa Cum Laude - Bayesian Statistics, Calculus, Research Methods/Experimental Design
N/A – Present
Duke University - The Fuqua School of Business
Advanced Statistical Inference and Machine Learning. Optimization Functions.
N/A – Present
Microsoft AI
Lead PM for Multimodal Research and Media Gen Product - Superintelligence Team
June 1, 2025 – Present
Washington, District of Columbia, United States
Netflix
Lead AI Product Manager - Studio Media Generation | Generative AI Strategy Leader
September 1, 2021 – January 1, 2026
Staff Product Manager - Media Understanding (Deep Learning / Multimodal AI Research)
February 1, 2021 – September 1, 2021
Deloitte Consulting
Global Lead - Deep Learning | Group Product Manager for AI Research | Senior Engineering Manager
April 1, 2019 – February 1, 2021
Blue Altair
Director of Product (AI); Director of Engineering (Global Leadership Team)
January 1, 2017 – April 1, 2019
Accenture
Data Scientist & Product Leader (ML Platforms, Algorithms)
August 1, 2010 – January 1, 2017
Cultural Fit Analysis
The candidate's experience across multiple prominent tech companies (Microsoft, Netflix, Twitter, Deloitte, Accenture) and their involvement in diverse AI projects (image/video/code gen, speech synthesis, trust & safety, recommendation systems) suggest adaptability and a broad perspective. Their leadership in building AI business units and fostering talent indicates a proactive and growth-oriented mindset, aligning well with innovative and fast-paced environments. The focus on ethical AI (trust and safety, alignment) also points to a responsible approach to technology development.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-functional collaboration skills through their extensive experience in leading AI product and engineering teams at top-tier companies. Their roles consistently involve driving complex AI initiatives, managing diverse stakeholders, and delivering impactful products, indicating a high operational fit for senior leadership roles.