I am a passionate software engineer with a penchant for tackling complex challenges in the tech realm. My journey in technology has taken me from developing efficient software solutions to implementing AI-driven insights, all while continuously seeking to learn and improve my craft.

I am a passionate software engineer with a penchant for tackling complex challenges in the tech realm. My journey in technology has taken me from developing efficient software solutions to implementing AI-driven insights, all while continuously seeking to learn and improve my craft.

Available to hire

I am a passionate software engineer with a penchant for tackling complex challenges in the tech realm. My journey in technology has taken me from developing efficient software solutions to implementing AI-driven insights, all while continuously seeking to learn and improve my craft.

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Experience Level

Expert
Expert
Expert
Expert

Work Experience

Intermediate Software Engineer at Fannie Mae - Enterprise Data Infrastructure (EDI) Team
July 1, 2023 - Present
Built and scaled an internal Financial Loan Management Portal supporting secure account/profile creation, over 3K end-to-end loan application submissions, and status tracking. Integrated high data volumes from System of Records (SORs) via S3 into Redshift, reducing processing time by 30%. Delivered server-side pagination over 3M records, lowering API latency by 41% under peak load.
Software Development Engineer Intern at Amazon Web Services - AWS CloudHSM Team
May 1, 2022 - August 31, 2022
Set up serverless canaries and integration tests for migration of existing canary tests, as well as updated the Multi-HSM test to add support for AWS CloudHSM’s new Baldr19 platform. Ran serverless canaries on a schedule, enabling quicker scale up and cost reduction by eliminating 3 dedicated hosts.
Machine Learning Engineer Intern at Booz Allen Hamilton - Navy DMSMS Management Team
June 1, 2021 - August 31, 2021
Led disruptive innovation in supply chain with AI to proactively manage material obsolescence. Trained supervised machine learning models in Python to analyze historical demand signals and forecast material obsolescence, improving inventory planning for U.S. Navy’s SPY-1 Radar systems.

Education

M.S. in Computer Science at Georgia Institute of Technology
January 1, 2023 - December 31, 2026
B.S. in Computer Science at University of Maryland, College Park
August 1, 2019 - May 31, 2023

Qualifications

Certified Developer Associate
January 1, 2020 - March 31, 2027
Certified AI Practitioner
January 1, 2020 - March 31, 2029

Industry Experience

Financial Services, Software & Internet