Apr 2025 – Mar 2026 · 11 mos

• AI Researcher and Developer Advocate working with the Marketing team at Comet, where I am:
• Researching and writing about AI
• Building and leading technical communities for Developers
• Assisting users with Opik and LLM Observability best practices

May 2024 – Apr 2025 · 11 mos

• I'm building and scaling the Customer Engineering and Customer Success Organization at Comet.
• Establishing and mentoring a team of Technical Account Managers, Support Engineers, and AI Architects to provide technical solutions and support to enterprise customer accounts.
• Enhance customer success Playbooks and creating process to scale the CX operations internally
• Leading the CS team to meet ARR goals and ensure renewals
• Collaborating with customers to integrate Comet into their critical AI and ML Platforms and workflows, ensuring seamless implementation and measurable value form AI/ML initiatives
• Creating and leading LLMOps and MLOps workshops and customer enablement sessions to enhance understanding and adoption of best practices for experiment and production phases of the AI/ML lifecycle

May 2022 – May 2024 · 2 yrs

• Hired and led a team of AI Solutions Engineers to support customers post sales.
• Took ownership of renewals and expansions
• Served as an architecture advisor for LLMs in production.
• Partnered with AI execs and leaders to design, implement, and optimize MLOps ecosystems.

Aug 2021 – Apr 2022 · 8 mos

• Led the MLOps Platform team for AI model pricing algorithms. Focused on deployment, feature store, and decision engines.

Aug 2020 – Jan 2025 · 4 yrs 5 mos

• Advising AI startups
• Influencer marketing content creation for top AI products
• Content writer for Statistician in Stilettos Tech Blog

Mar 2020 – Jul 2021 · 1 yr 4 mos

• As engineering manager, I established a scrum team of 7 full-stack Machine Learning Engineers. Our team created infrastructure for training, deploying, and maintaining our ML Models at scale. We executed the data engineering, model training, and software engineering phases of the project to deliver a Feature Store and Inference APIs that integrate into our customer facing products.

Apr 2019 – Mar 2020 · 11 mos

• As tech lead I worked with PMs to scope ML project opportunities, led ML model training projects, and designed our MLOps systems

Feb 2019 – Apr 2019 · 2 mos

Aug 2017 – Feb 2019 · 1 yr 6 mos · Remote

• Trunk Club is a Chicago-based personalized styling service for men and women, offering both virtual and in-person shopping options.
• My work as a Data Scientist included:
• Contributions to product recommendations and the style swipes project.
• Research, develop, and implement predictive algorithms using various machine learning techniques, deploying them as real-time APIs in a micro-service infrastructure.
• Utilize Natural Language Processing to understand text content across products, including reviews and interactions between users, stylists, and products.
• Use Computer Vision or image content analysis of novel and existing clothing items: classification, quality, attractiveness, similarity, extraction of features for ranking models.
• Use a range of clustering techniques to identify latent clusters of customers based on purchases, demographics, styles, etc.
• Make personalized product recommendations using recommender systems such as collaborative and content based filtering and association rules.

Sep 2015 – Aug 2017 · 1 yr 11 mos · Leesburg, VA

• Mosaic Data Science is a dynamic and growing Data Science consultancy solving some of the most complex and interesting Machine Learning problems in industry.
• As a Data Scientist at Mosaic, I have consulted for ExxonMobil, J. Crew, Schneider, and Anheuser Busch, where I applied machine learning and time series analysis in R and Python.

Jul 2014 – Sep 2015 · 1 yr 2 mos

• I provided statistical support to the Pueblo Chemical Agent-Destruction Plant: a chemical weapons demilitarization site in Pueblo, Colorado. My work included Laboratory predictive modeling, anomaly detection, data mining, time series forecasting, and experimental design.

May 2012 – Jul 2014 · 2 yrs 2 mos

• Pacific Northwest National Laboratory. Operations Research Team.
• My position included statistical and mathematical research.

May 2008 – Apr 2012 · 3 yrs 11 mos · Los Alamos, NM

• Reoccurring summer internships in the Statistical Sciences group at LANL. Researched Nuclear Materials Accounting methods under direction of Dr. Tom Burr. (See publications.)