2024 — Now
Airtop (fka Switchboard) provides intelligent browser automation for AI agents, enabling seamless web interaction, including login, navigation, and data extraction from any site, even those requiring complex authentication processes. With features like natural-language instructions, human-in-the-loop integration, high-performance scalability, and robust AI framework support, Airtop simplifies the development and deployment of AI-powered agents, making it an essential tool for AI-driven projects that require dynamic web interaction.”
2021 — 2024
New York, New York, United States
Architected and implemented a customized orchestration system and push-button CI for a low-level system with unique scaling requirements.
Disaggregated monolith AWS account into different development environments by writing infra-as-code to allow cost analysis, cost caps, and RBAC, across dev, staging, and production.
Designed, developed, and released microservice for tracking and distributing real-time user data.
Instituted and maintained our on-call system by setting up monitoring and alerts, writing an incident-response playbook, and training all engineers on how to de-escalate and triage issues.
Led team of 5 platform engineers by setting technical direction, prioritizing projects, and providing guidance on design documents.
Greater New York City Area
Performed large-scale migration of zero-downtime, low-latency, multi-region backend service from fixed clusters of Python servers running on hundreds of AWS EC2s to an autoscaling, multi-region, dockerized deployment in AWS EKS.
Created automated tooling to perform automatic regional failover and traffic redistribution, in order to maintain tight margins on low latency, high availability service SLAs.
Led a cross-national team in performing and verifying a large-scale migration of a pipeline containing thousands of lines of live NGINX code to a maintainable, scalable, testable Golang service.
2018 — 2018
Redwood City, California
Headed development of a new interface for data and pattern discovery in Sumo Logic's metrics product.
Developed novel data hierarchical induction techniques for structured metrics data, enhancing data analysis capabilities.
Developed and user-tested highly successful, intuitive novel data visualizations for structured metrics data.
Facilitated communication to coordinate development efforts across cross-continental teams.
2017 — 2017
Redwood City, California
Coded and shipped the most-requested customer suggestions for Sumo Logic dashboards, the main customer-facing interface
Reduced Sumo Logic’s frontend technical debt and user experience design debt
Wrote an open-source plugin that allowed Sumo Logic’s customers to use the Sumo Logic backend with a popular open-source frontend framework, Grafana
Education
2018 — 2018
Massachusetts Institute of Technology
Master's Degree
2018 — 2018
2014 — 2017
Massachusetts Institute of Technology
Bachelor's degree
2014 — 2017