Overview
Technical skills
Timeline
Roles

Overview

Senior AI Product Manager with 8+ years of experience leading strategy, development, and launch of enterprise AI and GenAI capabilities. Delivered LLM-powered products and Retrieval-Augmented Generation solutions through customer discovery, experimentation, and KPI-driven roadmaps, partnering with engineering and ML teams. Experience integrating AI platforms with enterprise data systems and defining measurement frameworks for adoption and model performance.

Technical skills

Python
SQL• 7y+
Databases
Databricks• 5y+
AI/ML
AI Agents
LangChain
Scikit-learn
Semantic Search
TensorFlow
Spark
LLM• 5y+
RAG• 5y+
Prompt Engineering
DevOps
Vector
Azure• 5y+
Analytics
Power BI
Tableau• 7y+

Timeline

Senior Product Manager, Data & AI Platform Lead
Smarsh Full-Time
Jan 2025 to Present 1 Year 7 Months In office
Owned product strategy and roadmap for AI-powered compliance capabilities, including LLM-based risk detection, compliance analysis, and message summarization. Led delivery of an OpenAI-powered AI assistant and coordinated with ML engineers on prompt engineering and model evaluation approaches. Defined product KPIs, ran structured customer pilots with experimentation frameworks, and shaped rollout and integration plans with enterprise systems via APIs.
LLM
Prompt Engineering
Product Manager, Data & AI Lead
Microsoft Corporation Full-Time
Oct 2021 to Jan 2025 3 Years 3 Months In office
Owned product strategy for enterprise AI platform services delivering Retrieval-Augmented Generation, semantic search, document intelligence, and LLM-powered automation. Managed the product lifecycle from discovery and roadmap planning through launch and adoption, including collaboration to improve AI precision. Built experimentation and telemetry-based validation, defined success metrics, and led cloud-native transformation integrating Azure Synapse and Databricks into self-service AI platforms.
RAG
LLMsince 2021
Databricks
Azure
University of Virginia
Master's Degree Systems Engineering (Operations Research)
2021–2022 Charlottesville, Virginia
Venture Capital Fellow, Technology Investments Middle
Alumni Ventures Full-Time
Jul 2021 to Jul 2022 1 Year In office
Evaluated early-stage AI/ML and SaaS companies by developing due diligence approaches focused on product-market fit and technical differentiation. Advised portfolio companies on AI product strategy and go-to-market positioning and supported technical hiring discussions. Authored investment memos and market landscape analyses covering GenAI, MLOps tooling, and enterprise automation trends.
Senior Consultant, Strategy & Analytics Senior
Accenture Full-Time
Oct 2019 to Oct 2021 2 Years In office
Led A/B testing initiatives for enterprise analytics platforms, translating experimentation results into product and analytics iteration. Partnered with product stakeholders to define analytics capabilities and prioritize customer requirements. Built analytics transformation roadmaps for industrial clients, including sales forecasting prototypes using regression methods with R, Tableau, and SQL.
SQL
Tableau
Strategy Consultant, Analytics Practice Middle
Deloitte Consulting LLP Full-Time
Oct 2016 to Oct 2019 3 Years In office
Spearheaded A/B experimentation for a regulatory analytics offering, improving compliance reporting accuracy and informing a product overhaul aimed at reducing churn and increasing revenue. Designed predictive models to identify drivers of customer adoption and churn and defined KPIs for product strategy. Developed a big data prototype for federal healthcare analytics combining prescription and mortality data with classification modeling to assess risk profiles.
University of Maryland, Baltimore County (UMBC)
Bachelor's Degree Applied Mathematics & Analytical Chemistry
2010–2015 Catonsville, Maryland