Experience

Enigma Technologies, Inc.

• United States
• Software Development
• 1 - 100 Employee

• Senior Software Engineer

  • Nov 2021 - Present

  Systems engineering, infrastructure, etc. for high-throughput sanctions screening. - Architected a redesign of our Archive service, which resulted in cost savings of $800 per day for our client.

• Software Engineer

  • Oct 2020 - Nov 2021

  I'm a core member of a team that maintains a mission-critical sanctions screening API that processes 13% of the U.S. wire transfer system per day.I serve as the team’s SRE, focusing on reliability and application architecture. I led the design and implementation of the company’s first disaster recovery strategy, and have worked on our model explainability, data compliance, and played a major role in a microservices refactor of our system.More recently, I’ve introduced policy-as-code to Enigma for pre-validating our infrastructure changes and migrated our model serialization to ONNX.Technologies: Docker, Golang, Python3, Terraform, Kubernetes, Airflow, Elasticsearch, DynamoDB. Show less



Torch Dental

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer

  • Aug 2019 - May 2020

  Torch is a Bessemer Ventures backed e-commerce startup disrupting the healthcare supply space. I focused primarily on backend engineering with occasional forays into frontend development and security. See below for some selected projects: - Designed fundamental aspects of Torch’s product data model, including Torch's credits + rewards system and our shipping address framework - Designed and implemented user-behavior analytics pipeline - Implemented two-factor authentication for secure access to admin endpoints - Managed high-throughput ETL jobs for pricing data ingestion. - Migrated legacy event-mediation pipeline to celery-beat / RabbitMQ - Developed crawling infrastructure for pricing data and shipping information Technologies: AWS, Python, Postgres, RabbitMQ, Flask, React+Redux, TypeScript Show less



Bubble

• United States
• Software Development
• 100 - 200 Employee

• Software Engineer

  • Jul 2017 - Jul 2019

  I was the first engineering hire at bubble.io, a current leader in the no-code space. As an early hire at Bubble I developed much of the fundamental infrastructure that powered the company from a bootstrapped operation to a venture-backed startup. In particular, I developed our automatic TLS certificate management, built bubble's custom application logging system, maintained and developed our orchestration system, built our internal authentication micro-service, and implemented our connection pooling infrastructure. My contributions helped grow the user base from 70,000 to over 275,000, and took the company from bootstrapping to $6M seed round. We are an alumnus of Harvard Business School's NY Startup Studio. Show less



Global Atlantic Financial Group

• United States
• Insurance
• 700 & Above Employee

• Consulting Software Engineer

  • 2016 - 2016

  Full stack, contract software developer on the Analytics team. Global Atlantic Financial is a spinoff of Goldman Sachs. - Developed algorithms for optimal options trading. - Wrote applications for automated emailing, option pricing, trading, data cleaning, and back-end control of Excel. - Developed interactive data visualization and geomapping software. Wrote interface to googlemaps API for geocoding and reverse lookup. - Developed NLP tools for parsing and extracting data from PDFs. - Wrote ETL pipelines in python. Technologies used: Python, Pandas, Git, SQL, Win32Com, Excel, DOS, VBA, Bokeh. Show less



New York University

• Higher Education
• 700 & Above Employee

• Research Assistant

  • Sep 2014 - Jul 2015

  Worked as a research assistant to Prof. David Pearce, game theorist and former chair of the economics department at NYU. - Conducted a literature survey of material in fast-growing areas of science; in particular, machine learning, computational biology, decision theory, behavioral economics, and game theory. - Programmed python simulations of game-theoretic processes, including multi-agent learning, evolution. Worked as a research assistant to Prof. David Pearce, game theorist and former chair of the economics department at NYU. - Conducted a literature survey of material in fast-growing areas of science; in particular, machine learning, computational biology, decision theory, behavioral economics, and game theory. - Programmed python simulations of game-theoretic processes, including multi-agent learning, evolution.