• Established foundational app performance/regression-monitoring framework and implemented critical user workflow optimizations. • Launched core AI engineering infrastructure and led 0 → 1 development of agentic document parsing workflow. • Designed multi-phase data synchronization with a third-party application using a functionally-limited SDK, unlocking long-requested customer functionality and eliminating a major sales blocker. Skills: Python · TypeScript · React.js · Django REST Framework · PostgreSQL · Redis · Amazon Web Services (AWS) · JavaScript · LLMs

• Launched automated ML-powered follow-up requests and increased customer feature usage by 335%. • Implemented multi-way data synchronization between internal and external systems of record, unlocking a new category of product offerings and saving clients multiple hours per-service representative per-day. Led live development & debugging sessions in key client on-sites to reduce resolution time from weeks to days. • Served as Home Equity team’s Technical Lead. Guided architectural and design decisions for key initiatives. Mentored engineers up to the senior level. Worked closely with engineering & product leadership on roadmap planning, prioritization, and cross-team collaboration. • Architected data model and service layer for key components of novel Builder Platform and enabled backwards-compatibility with legacy services. Drove adoption from 0 to 12 live enterprise clients in 4 months. • Went public in 2021. Skills: JavaScript · Git · TypeScript · Amazon Web Services (AWS) · PostgreSQL · Elasticsearch · Node.js · Machine Learning · React.js · Go · Bash · Apache Kafka · SQL · Python · MongoDB

• Spearheaded NLP pipeline redesign and reduced persistent production bug count by 25%. • Parallelized the backend build process and improved deployment speed by an average of 63%. Skills: Git · Java · MySQL · Atlassian Bamboo

• Led engineering effort to build Starbucks virtual barista using AI, NLP, and machine learning techniques, resulting in a contract worth $2.3M ARR. • Implemented CRF parsing model and improved accuracy by 10% over baseline HMM parser. • Designed training data collection and processing pipeline by leveraging Amazon Mechanical Turk, which was adopted for all client projects. • Acquired by Cisco. Skills: Git · Elasticsearch · Natural Language Processing · Machine Learning · Amazon Mechanical Turk · Python · Information Retrieval

• Implemented metrics standardization and reduced average experiment lifecycle by 70%. • Optimized metrics processing jobs and reduced runtime by 45%. Skills: Git · Scalding · Scala