New York City Metropolitan Area
Senior software engineer with 8+ years building backend systems for customer-facing products across fintech, SaaS, and e-commerce. Recent work centers on integrating LLM and conversational AI into production systems, often owning ambiguous, cross-team projects end-to-end. U.S. citizen.
Led backend delivery for a case-routing initiative, extending an existing ML routing system so routing could be invoked via LLM tool calls, coordinating across ML, Salesforce, and support-platform teams. Built a Kotlin service and API to ingest and store Square customer-support calls and expose transcripts, used by partner teams to power downstream features including automated after-call notes. Owned the expansion of the CashApp after-call-notes service to handle callbacks, transfers, and priority-support workflows. Served as interim technical lead for a three-engineer pod, setting technical direction and working with partner teams during a six-week transition.
Integrated a sales-forecasting ML model into the backend for a beta product on the Forecasting team. Independently evaluated the ML forecasting model's accuracy, benchmarking it against baseline methods and alternative approaches, and authored a report that shaped the product's go-to-market strategy.
Designed a system enabling the bot to dynamically modify behavior based on external API data, expanding the range of workflows the bot could handle. Led the initiative to add clarifying questions to the bot, improving interaction quality and routing accuracy. Built with TypeScript, Node.js, and Scala. Overhauled text matching, reducing related support tickets by 95%. Advocated for and implemented monitoring improvements, reducing alerts by 90%. Developed a prototype using ChatGPT for bot setup, accelerating the team's adoption of LLMs.
Optimized ETL processes, reducing runtime from 28 hours to 4 hours and minimizing migration downtime. Designed and built a scalable data ingestion pipeline for utility data, leveraging a time-series database for efficient storage and analysis.
Developed a sophisticated product ordering and ranking service utilizing Pandas, NumPy, BigQuery, and Elasticsearch. This service improved product discoverability and user experience. Engineered a scalable API for supplier product uploads, allowing for millions of products to be imported onto the site.