Building the engineering intelligence platform used by Fortune 500 companies to measure developer productivity, track AI coding assistant adoption, and optimize software delivery.

• Designed role-based adaptive navigation for 10K+ users, directly securing 8-figure enterprise contracts with Fortune 500 clients.

• Designed AI analytics platform enabling managers to query data conversationally, receive automated insights, and distribute findings via Slack, while developers track performance metrics directly in IDE.

• Designed AI agent to auto-generate context, ping developers for missing information, and autonomously update documentation with MCP server integrations and modular Skills system per repo.

• Designed reusable charting system with pre-cached insights, solving performance issues across 25+ enterprise tenants while enabling AI and ROI visualizations.

• Expanded a Fortune 500 account from 400 to 7,500 seats (3x ARR) by reducing load times 66% and solving org visibility with hierarchical navigation.

• Saved 6-figure at-risk accounts by redesigning data ingestion flow with clear error states and actionable recovery steps.

Designed ML products across the Einstein platform, delivering over 1 trillion predictions per week, spanning document processing, lead scoring, propensity modeling, and data science tooling for both business users and developers.

• Created unified ML design system across 6 Einstein products enabling non-technical business users to deploy models without data science expertise, reducing frontend delivery from 1 year to 1 quarter.

• Identified backend and data science workflow inefficiencies via UX research addressing bottlenecks across ML infrastructure.

• Managed design complexity across 16 product teams (6 Einstein products + 10 Hawking teams) while collaborating with 40+ stakeholders, including 12 Director+ level executives.

• Submitted 3 patents (D997193 issued) for AI interaction patterns and received 2 Gratitude Bonuses for exceptional performance.

• Grew Women in AI community to 200+ members as Head of PR while mentoring 20+ designers through Mentor Match program.

Transitioned from data science to product design, taking on multiple design contracts for AI and data visualization products while bridging product, data science, and engineering teams.

• Built interactive data visualizations in D3, React, Django, and PostgresDB, making complex data interpretable for non-technical audiences.

• Designed AI and data visualization products for enterprise clients, establishing timelines and building consensus across cross-functional teams.

• Established modular design systems for long-term scalability across multiple platforms.

• Evangelized Human Interface Guidelines and Material Design principles among engineering teams.

Implemented proof-of-concepts to challenging analytical problems faced by the U.S. Intelligence Community.

• Gestalt: Developed a data visualization platform enabling subject-matter-experts to tell clear data stories without learning complex tools like D3; applied it to software defined network (SDN) attack and financial risk modeling.

• Hermes: Built a modularized recommender system framework helping federal analysts identify which algorithms generate the most accurate recommendations; presented at NSA Conference and NIPS.

• Pelops: Employed deep learning methodologies to automatically identify and re-identify vehicles for pattern of life discovery.

• Standardized GitHub workflow by teaching classes on feature-branch workflow, rebase, merge conflicts, cherry-pick, and stash; received 9 out of 10 participant evaluation scores.

• Installed and configured Spark and Mesos on internal servers for containerized Jupyter notebook processing, reducing server monopolization.