Summary
Victor Shen is a Senior Lead Data Engineer based in New York with 8 years of experience designing and delivering large-scale data and AI solutions across finance, insurance, and logistics. He combines hands-on engineering—building streaming and batch pipelines with Databricks, Spark, Flink, and cloud services across Azure and GCP—with technical leadership responsibilities including roadmap and architecture decisions for remediation, IFRS9 modeling, and real-time NLP products. Victor has repeatedly taken projects from research prototyping to production SaaS (notably a rapid-to-market call intent KPI product) and built analytics labs and automation pipelines that cut operational costs. His background in physics, math, statistics and early research in computational simulation gives him a data-first, model-driven approach to solving messy, regulated business problems. Colleagues rely on him to translate complex regulatory and product requirements into auditable, scalable data platforms.
8 years of coding experience
5 years of employment as a software developer
Wellesley High School
Dual Degree in Physics and Math, Double concentrations in Statistics and Actuarial Science, Dual Degree in Physics and Math, Double concentrations in Statistics and Actuarial Science at University of Massachusetts Amherst
English, Chinese