2025
Fara-7B: An Efficient Agentic Model for Computer Use
A 7-billion parameter model designed for efficient computer interaction tasks, enabling AI agents to navigate and operate digital interfaces.
Agentic AI Computer UseHi, I'm
Senior PM Lead at Microsoft Research
Building the future of LLMs and AI agents. Passionate about generative AI, reasoning models, and human-computer interaction.
I'm a Senior PM Lead at Microsoft Research based in the San Francisco Bay Area. With a wealth of experience, I specialize in guiding products from concept to fruition and harnessing the power of innovative technologies.
At Microsoft Research, I work at the intersection of large language models, agentic AI, and product strategy — contributing to foundational models like Phi-4-reasoning and Fara-7B. Before that, I spent 3 years at Google as a UX Researcher and Product Manager on the Shopping team, where I led research for products launched at Google I/O 2023.
I hold a degree from Georgia Institute of Technology with coursework in AI, computer vision, deep learning, and ethics. I'm driven by the belief that AI should be both powerful and responsible.
Outside of work, I'm a creative at heart — an avid reader (55 books in 2022!), singer, painter, and baker who experiments with recipes like lavender mint cake.
Leading product strategy for LLM and AI agent research. Contributing to foundational models including Phi-4-reasoning and Fara-7B. Driving agentic AI initiatives and inference-time scaling research.
Led UX research and product strategy for the Shopping team, building cutting-edge AI products. Key launches include Search Generative Experiences (SGE Shopping), Google Virtual Try-On, AI-powered Shopping Visualization, and Google Gifting — all launched at or around Google I/O 2023. Also developed product strategy for Google's Local Shopping experience.
Worked in consulting before transitioning to tech, gaining experience in strategy and problem-solving across industries.
Built a diverse international career across multiple geographies, gaining experience in product management and technology across different markets and cultures.
A 7-billion parameter model designed for efficient computer interaction tasks, enabling AI agents to navigate and operate digital interfaces.
Agentic AI Computer UseTechnical report on the 14-billion parameter reasoning model, exploring advances in chain-of-thought and structured reasoning capabilities.
Reasoning Language ModelsA framework for synthetic data creation using agentic flows, achieving significant improvements across multiple benchmarks.
Synthetic Data AgentsInvestigation of inference-time compute scaling methods across reasoning tasks, exploring how additional compute at inference improves performance.
Scaling ReasoningLed UX research for SGE Shopping at Google, launched at Google I/O 2023 with widespread positive media coverage.
Google · AILed research that identified accessibility and inclusivity needs, directly influencing design improvements for the try-on experience launched at Google I/O 2023.
Google · UXRLed UXR and product strategy for an AI-generated photorealistic clothing visualization tool with shopping integration, grounded in user mental models.
Google · GenAIWinner of the Executive Challenge at Microsoft's flagship internal hackathon, competing against teams worldwide.
AwardInvited speaker at Microsoft's Machine Learning and Data Science conference, presenting research on AI agents and reasoning.
SpeakingServed as a proposal reviewer for the Machine Learning, Data Science, and Responsible AI conference, evaluating research submissions.
ServiceExploring the ethical considerations and responsibilities in designing AI systems that interact with humans.
Ethics HCIMore posts coming soon
I'm always interested in discussing AI research, product strategy, or potential collaborations. Feel free to reach out.
The Design of Everyday Things
"The best way to predict the future is to invent it."— Alan Kay