Currently working as a ML Eng in Graph Modeling and Knowledge Graph Computation. Over 4 years of experience in developing and maintaining large scale enterprise applications. Passionate about building systems that are easy to use, scalable and reliable. Want to bring research into real consumable product.

Experience

AmazonSoftware Engineer, Machine Learning Infrastructure

2024 — Now

Spearheaded the design and improvement of large scale Knowledge Graph queries on Neptune for fraud detection, contributed to 13MM+ in savings annually.

AWS tools: SageMaker, Kinesis Data Analytics, CloudWatch, Cradle, Amazon EMR

SchonfeldSoftware Engineer

2022 — 2024

New York City Metropolitan Area

Managed 15+ AWS‐based microservices using Java, Spring Boot and Spring Batch for position tracking, live execution processing and integrating dates, allocations, corp actions... to establish the Golden Source of Positions and Executions.

DoorDashSoftware Engineer

2022 — 2022

New York City Metropolitan Area

Developed Kotlin gRPC endpoint addressing Promotion Code Fraud; implemented fuzzy graph search and multi‐mapping to find related customer accounts based on many factors, improving data gather time from 10 min to 15 sec to combat an estimated $140+ million annual loss.