Computer Science Grader at The University of Texas at Dallas
Dallas, Texas, United States
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Summary
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Senior
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Top School
Mathew George is a distributed systems engineer with nine years of software experience and a strong focus on fault-tolerant, cloud-native database infrastructure. He moved from impactful roles at Oracle—where he helped redesign DataGuard for multi-standby replication, cross-tenancy APIs, and cloud migrations—to graduate studies and a grader role at UT Dallas, blending production engineering with academic rigor. Hands-on contributions to algorithmic open-source projects (implementing tree views, edit distance, dynamic-programming Sudoku solvers) underscore his algorithmic problem-solving and backend coding chops. Comfortable across system design, automation, and API engineering, he has a track record of turning complex DR and scaling requirements into practical, testable features. Based in Dallas, he pairs a 3.95 MS in Computer Science with an ability to bridge research prototypes and enterprise-grade cloud services.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.95, Master of Science - MS, Computer Science, 3.95 at The University of Texas at Dallas
Highschool Diploma (CBSE), Highschool Diploma (CBSE) at DPS Modern Indian School, Doha
Bachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at National Institute of Technology Calicut
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
Role in this project:
Back-end Developer
Contributions:6 commits, 3 PRs in 1 day
Contributions summary:Mathew contributed to the repository by implementing various algorithms and data structures using Python and Java. They added programs to solve problems like finding the left view of a binary tree, calculating edit distance, and finding the maximum sum increasing subsequence. Furthermore, they implemented a Sudoku solver using dynamic programming techniques, showcasing proficiency in algorithm design and problem-solving.
SPI to control canon 28-135mm lens developed as part of project to build a universal adapter between canon lenses and samsung cameras. Performed under the mentorship of Mr Khalid Kunji of Qatar Computing Research Institute (QCRI).
Contributions:9 commits, 6 PRs, 6 pushes in 1 year 5 months
samsungcanonresearch-computingcamerafog
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Mathew George - Computer Science Grader at The University of Texas at Dallas