Gagan Shangari

Gagan Shangari

Lead Machine Learning Engineer @ Alight Solutions

About Gagan Shangari

Gagan Shangari is a Lead Machine Learning Engineer at Alight Solutions and a Staff Software Engineer at Egen, with extensive experience in software engineering and machine learning.

Current Employment

Gagan Shangari currently works as a Staff Software Engineer at Egen based in Chicago, Illinois, United States. In addition, he is also employed as a Lead Machine Learning Engineer at Alight Solutions in the United States. His role in these companies involves leveraging his expertise in machine learning and software engineering to develop cutting-edge solutions.

Previous Work Experience

Gagan Shangari has an extensive background in software engineering and machine learning. He worked at Egen in various capacities from 2020 to 2023, including as a Senior Software Engineer and Software Engineer, both in Chicago, Illinois. Prior to this, he held the position of Team Lead/Machine Learning Engineer at OnBoard from 2021 to 2022. His earlier roles included being a Software/Data Engineer at Uptake (2020-2021), Software Engineer at ServiceLink (2018-2020), and spending time as a Graduate Teaching Assistant at Carnegie Mellon University in 2017.

Educational Background

Gagan Shangari holds a Master’s degree in Information Systems Management from Carnegie Mellon University's Heinz College of Information Systems and Public Policy, obtained in 2017. He completed his undergraduate studies at Kalinga Institute of Industrial Technology, earning a Bachelor’s degree in Computer Science in 2014. These academic achievements provided a solid foundation for his career in software engineering and machine learning.

Capstone and Research Projects

As part of his master's program at Carnegie Mellon University, Gagan Shangari developed a product for Mylan aimed at improving medical adherence rates through an iOS native Swift application, specifically targeting HIV patients in South Africa. Additionally, during his tenure at SAE International, he worked as a Software Engineer and Research Intern, where he transformed the 'Mobilus' platform's search engine from being keyword-based to a natural-language search engine.

Skills and Recognitions

Gagan Shangari is recognized for his strong skills in both front-end and back-end development, particularly for high-volume businesses using microservices and Single Page Application architecture. He is proficient in MLOps and AI/ML technologies and has deep expertise in analyzing business environments to identify software needs, particularly in the Consulting and Fintech industries. He has also received recognition from senior management at Deloitte for delivering project deliverables ahead of schedule.

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