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SWE @ Microsoft
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a recent Computer Science Master’s student graduate from Georgia Tech with a concentration in Machine Learning. The creative nature of problem-solving in Computer Science continues to pique my interest in the field. I pride myself on my ability to learn fast and communicate well with others.
Georgia Institute of Technology
Master of Science - MS, Computer Science
January 1, 2023 – January 1, 2024
Georgia Institute of Technology
Bachelor's degree, Computer Science
January 1, 2020 – January 1, 2023
Alpharetta High School
Current High School Student
January 1, 2016 – January 1, 2020
Microsoft
Software Engineer
February 1, 2025 – Present
Seattle, Washington, United States
AT&T
Software Engineer
August 1, 2023 – January 1, 2025
Atlanta, Georgia, United States · On-site
Nasdaq
Software Engineer
June 1, 2023 – August 1, 2023
Atlanta, Georgia, United States
AT&T
Technical Product Manager
June 1, 2022 – August 1, 2022
Atlanta, Georgia, United States
Cognosos, Inc.
Software Engineer Intern
August 1, 2021 – December 1, 2021
Atlanta, Georgia, United States
Georgia Institute of Technology
Office of Outreach Student Assistant
December 1, 2020 – May 1, 2022
Atlanta, Georgia, United States
Georgia Institute of Technology
Student Assistant/ Summer Camp Counselor
July 1, 2019 – August 1, 2019
Atlanta
Brain Trauma Assessment Protocols
August 1, 2021 – Present
Engineering an iOS application to supplement experimental hardware to measure biometrics regarding brain trauma injuries Serving as support for new and existing members of the project to ensure for smooth transitions for new waves of students
Grocery Delivery Database
May 1, 2021 – July 1, 2021
Designed a database to organize customers, employees, stores, drones, and more to maintain logistical excellence Constructed 15 stored procedures and 5 views to support inventory, drone usage, orders by customers, and supporting functions
FBLA Super Manager - iOS Mobile Application
December 1, 2019 – March 1, 2020
Streamlined member involvement and club activity for FBLA chapter by developing an application through Swift with Firebase Awarded Top 15 in the Nation for the application by effectively presenting the functionality and user interface to a panel of judges
Deloitte Team Tech Challenge
July 1, 2019 – July 1, 2019
Ideated optimization for Georgia’s transit system by applying Artificial Intelligence, Analytics, and Machine Learning concepts Researched possible applications of expanding transit systems by using cost-benefit analysis and looking into new infrastructure
GPT-4 Foundations: Building AI-Powered Apps
June 23, 2026 – Present
Deep Learning: Getting Started
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from iOS applications to database design and AI/ML concepts, indicates a broad interest in technology. Their experience at large companies like Microsoft, AT&T, and Nasdaq suggests an ability to adapt to structured corporate environments. The 'FBLA Super Manager' project, which received national recognition, highlights initiative and a drive for excellence. However, the overall experience level (5 years) combined with the target role of 'Backend Engineer' and the nature of the projects (many personal/academic) suggests a potential mismatch in depth of experience for a senior backend role. The lack of specific backend system design or distributed systems experience in the provided data limits the assessment of cultural fit for a senior backend role requiring significant architectural contributions.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work in teams (e.g., 'Serving as support for new and existing members') and present technical concepts ('effectively presenting the functionality and user interface'). The Technical Product Manager internship at AT&T also points to skills in Agile Methodologies and Process Improvement, which are valuable for operational fit. However, without specific psychometric test results, a deeper assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.