Alexander Benasutti
Senior Member Of Technical Staff at AT&T
Middletown Township, New Jersey, United States
Summary
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Top SchoolAlexander Benasutti is a Senior Member of Technical Staff with eight years of experience building scalable data infrastructure and production ML solutions, currently driving large-scale analytics at AT&T. He blends a Computer Engineering research background in deep learning for image classification and segmentation with practical expertise in PySpark, Delta Lake, Azure Databricks, and CI/CD automation to ingest and analyze billions of records. His work has directly supported $100M+ cost-savings through automated reclamation and decommissioning efforts, while reducing manual pipeline intervention by 90% via standardized ETL frameworks and tooling. He’s published academic research on DCNNs and synthetic data generation, and brings that experimental rigor to production problems like OCR preprocessing at scale. Comfortable wearing many hats, Alexander focuses on DRY clean code, modular systems, and observability—often building custom CLI and metrics tooling to boost team velocity. Based in New Jersey, he pairs a research-driven mindset with hands-on engineering that turns complex datasets into actionable business outcomes.
7 years of coding experience
5 years of employment as a software developer
Seneca High SchoolBachelor of Science - BS Computer Engineering, Bachelor of Science - BS Computer Engineering at The College of New Jersey
Github Skills (2)
openstreetmap1
maps1
Github contributions (5)
Jamboii/misc-projects
Nov 2018 - Jan 2024
Contributions:9 pushes, 1 branch in 5 years 3 months
Jamboii/ARM-LEGv8-processor
Sep 2019 - Jun 2021
Contributions:5 pushes, 1 branch in 1 year 9 months
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