I am a maturing software engineer with strong foundations in API design, distributed systems, algorithms, statistics, and machine learning.

2021 — NowBloomberg LPSenior Software Engineer

2021 — Now

New York City Metropolitan Area

Developing distributed systems infrastructure for Bloomberg's Multi-Asset Risk System (MARS)

2019 — 2020Enigma Technologies, Inc.Software Engineer

2019 — 2020

Greater New York City Area

Built infrastructure layer to provide backend support for common services across Enigma product teams.

Wrote and tested a variety of services utilizing cloud infrastructure (API Gateway, Lambda, DynamoDB, Cognito, S3, Cloudwatch, IAM, Terraform).

Developed payment processing and multiuser management infrastructure for Enigma’s API console. Assumed technical lead of the multiuser module and regularly coordinated with product and design teams to determine a system suited for API users.

2017 — 2018MIT Department of EECSGraduate Student

2017 — 2018

Cambridge, MA

Partially completed Masters of Engineering program at MIT then took leave of absence to focus on personal goals.

Maintained 4.7/5.0 GPA in Machine Learning concentration including graduate level coursework in Statistical Learning Theory, Statistical Inference, and Probabilistic Graphical Models.

TA for Introduction to Data Science: assisted developing projects in Jupyter which exposed students to a variety of modern data science techniques to analyze and draw conclusions off of real world data (Overall TA Rating: 6.3/7.0).

TA for Theory of Computation: held weekly office hours and taught recitations to supplement students' understanding of computability and complexity theory along with developing intuition on how to approach and write up proofs to theoretical problems (Overall TA Rating: 6.5/7.0).

2017 — 2017Five Rings Capital, LLCSoftware Engineering Intern

2017 — 2017

Greater New York City Area

Developed internal C++ library to consolidate and maintain consistency in Five Rings order data as information is received from external sources.

Adapted order matching pipeline to process data obtained from the Chicago Mercantile Exchange API, improving the robustness of trade execution infrastructure.

2016 — 2017MIT CSAIL | Geometric Data Processing GroupAdvanced Undergraduate Researcher

2016 — 2017

Cambridge, MA

Developed MATLAB implementations of machine learning inspired convex optimization programs to discover practical approximations of curvature distributions on 3D triangle meshes.

Applied the approximations to various applications requiring curvature distribution as input and concluded that the approach isa promising method to improve efficiency in widely used routines in graphics programming

Experience+