Improving the performance, reliability, efficiency, and quality of account access across the family of apps (FB, IG, etc.). Used by billions of users.

Key Technical Contributions:

• Founding engineer of a full stack knowledge graph platform, building APIs and workflows in React, TypeScript, and Python. Accelerated data modeling iteration for 100+ AI/ML stakeholders.

• Designed and built accessible UIs and services in collaboration with a UX designer to streamline workflows to upload & edit data models. Drove a 3x growth in managed models over 6 months.

• Led the development of health monitoring and alerting for microservices, detecting abnormal patterns to accelerate incident resolution. Reduced bug reports by 30%, improving service reliability.

• Optimized graph traversal algorithms to leverage predicate indexing and early filtering. Reduced query times by 70%, enhancing visualization responsiveness and backend performance.

• Prototyped and standardized RESTful API designs for referencing IRIs as resources in routes. Resolved critical integration challenges between frontend and backend systems.

Collaboration & Leadership:

• Led workshops for 60+ engineers on leveraging knowledge graphs for structured data retrieval in ML workflows using Postgres, Python, and RDFLib. Drove a 20% increase in platform adoption.

• Created and managed a Docusaurus-based documentation platform. Adopted across 6 teams, reducing recurring client support requests and centralizing shared knowledge.

• Built a Python-based data pipeline to process and automatically store large datasets in S3 buckets, streamlining data management tasks for high-volume temporal information.

• Collaborated on peer-reviewed research evaluating NLP tools (HeidelTime, SUTime, DateParser) by creating workflows to clean and benchmark large multilingual datasets extracted from Wikipedia.