Hoang Vo is a Senior Data Engineer and former PhD researcher with 13 years of experience building high-performance, cloud-agnostic data platforms for spatio-temporal and imaging datasets. At Pitney Bowes he leads modernization and new-data-product efforts, designing scalable pipelines that process billions of points monthly and deliver near-real-time insights that save substantial operational costs. He combines deep systems-level proficiency in C/C++, Java and Python with hands-on distributed computing expertise (Spark, Hadoop) and pragmatic business acumen to translate complex domain problems into production services. His research background produced 10x–100x query speedups on massive geospatial workloads and informs his focus on compression, sampling and cache strategies for performance. A pragmatic communicator and diligent listener, he moves seamlessly between low-level optimization and stakeholder-facing product design. He is pursuing a path toward solution architecture and engineering leadership while remaining actively involved in DevOps and platform engineering.
13 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at Emory University
Bachelor's degree, Information Systems and Finance, 3.97, Bachelor's degree, Information Systems and Finance, 3.97 at University of Wisconsin-La Crosse
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at Stony Brook University
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