Talk
YouTube
MLOps Community Talk
MLOps Community
Deep dive into ML operations and best practices for deploying ML systems at scale.
Director of ML/AI at 3Cloud • Former Data Scientist at Microsoft
Specialized in enterprise AI systems and production deployments
Built AI assistants using LangChain, AutoGen, and Semantic Kernel integrated with enterprise systems.
Deployed LLM inference, vector search, and guardrail systems on Azure, GCP, and AWS.
Designed A/B testing, uplift modeling, and structured evaluation pipelines for model safety and performance.
Partnered with VP-level stakeholders to set AI roadmaps and deploy systems with measurable ROI.
Early-stage operator expertise as 1st employee at Passes and 9th at Pallet. Built tech, team, operations and GTM strategies from the ground up.
Talks, podcasts, articles, and thought leadership
Speaking at STARWEST Conference on implementing responsible AI practices in quality assurance. Covering practical frameworks for ensuring AI systems are ethical, transparent, and trustworthy in production environments.
View Speaker ProfileMLOps Community
Deep dive into ML operations and best practices for deploying ML systems at scale.
Apple Podcasts
Career growth, leadership in data science, and building high-performing ML teams.
Microsoft Data Science Blog
How we created and nurtured a thriving 1000+ member community at Microsoft.
Carnegie Mellon University
Featured as distinguished alumna making significant impact in AI and ML.
Capacity Media
Featured among women pioneers driving innovation in open source AI.
DesignMind Blog
Large-scale A/B experiments and frameworks at Microsoft Windows.
DesignMind Blog
Strategic guide on implementing recommendation systems for business value.
Academic leadership, intellectual property, and research contributions
Master of Science in Data Science Program
View Board →First author • European Patent • Machine learning system for predicting deployment success rates and identifying potential failures before production release.
First author • US Patent • Novel approach for estimating metrics in unsampled computing devices using causal inference techniques.
IEEE Publication • Analyzing feedback in digital randomized controlled trials using advanced NLP techniques and traditional qualitative methods.
Building AI systems that drive real business impact
Director of Machine Learning and AI
March 2025 – Present
Vice President of Machine Learning and AI
May 2023 – March 2025
Founding 1st Employee, Head of Operations
May 2022 – May 2023
Lead Data Scientist
July 2021 – May 2022
Data Scientist I-II
September 2017 – July 2021
B.S. in Computational & Applied Mathematics
2013 – 2017
Ready to discuss AI transformation for your organization?