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Andrew DiBiasio
Software Engineer at Starburst Data
About
Andrew DiBiasio is a highly motivated, inspired, and team-oriented software engineer who loves to take risks and step out of his comfort zone. He is always open to new experiences, challenges, and technologies and believes in helping others succeed. Andrew takes pride in his work and the work of his team as a whole, and he loves teaching others. Currently, Andrew works as a Software Engineer at Starburst Data, where he builds and maintains the company's cloud infrastructure and develops software solutions for their SaaS product. In his previous role as a Software Development Engineer II at Amazon, Andrew worked in the Alexa AI-Natural Understanding org. He designed, developed, tested, released, and supported multiple tools and systems that helped scientists and developers experiment, build, and release features to their NLU models. Andrew typically worked with NLU scientists to help design and release features that they found valuable to complete their work. The services he owned were deployed to Amazon Web Services (AWS), and he used AWS services like API Gateway, Lambda, ECS, EC2, Step Functions, DynamoDB, and S3 to provide secure, distributed systems that scaled for their clients. Andrew's typical day involved spending time in design meetings, working on his remote Linux machine, creating a POC for a new tool or component in AWS, doing code reviews, and writing a lot of code. In his current role, he writes Java, Python, and TypeScript backend logic. Andrew completed his Bachelor's Degree in Computer Science from the University of Massachusetts Lowell in 2015, and he completed his High School education from Central Catholic High School in 2013. Andrew has 7.86 years of relevant experience and has expertise in software engineering, AWS, NLU, infra, ECS, AI, test, TypeScript, backend, web, Python, and Java.
Education
• university of massachusetts
• central catholic high school
Companies
• starburst data
• amazon
• fidelity
Experience
8.6 Years
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Experience
LEAP Program - Associate Software Engineer Role
fidelity | Raleigh-Durham, North Carolina Area
2016 - 2016
Skills
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Amazon S3
Amazon Web Services (AWS)
Application Programming Interfaces (API)
Artificial Intelligence (AI)
AWS Lambda
Backend
Design
Distributed Systems
ECS
infra
Infrastructure
Java
linux
Logic and Reasoning
NLU
operations
Python
SaaS
Software Engineer
teaching
test
Typescript
Web
Web Services
Contact Details
Email (Verified)
andXXXXXXXXXXXXXXXXXXXXomMobile Number
+19XXXXXXX04Education
university of massachusetts
Bachelor’s Degree
2011 - 2015
central catholic high school
High School
2009 - 2013
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