Summary
Nathan Purwosumarto is a software engineer with a decade of experience who blends rigorous CS training (B.S. Computer Science with minors in Mathematics and Bioinformatics) and an MS in Business from Texas A&M to drive pragmatic, data-informed engineering. He has delivered production automation at scale—turning a three-day manual AWS workflow into a three-minute process during an SDE internship at AWS—and now contributes to enterprise software at Deloitte. His research background in NLP fairness and bioinformatics, plus hands-on work with PyTorch, TensorFlow, and transformers, gives him a strong foundation in applied ML and algorithm development. Nathan pairs technical depth in Java, Python, and C++ with product-minded thinking from his business degree and leadership roles in student organizations and volunteer CRM projects. Comfortable in multicultural environments and conversational in Indonesian, he often bridges technical teams and stakeholders to ship impactful solutions. Colleagues would describe him as results-oriented, adaptable, and equally at home in research, hackathons, or client-facing implementations.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Business, Master of Science - MS, Business at Mays Business School - Texas A&M University
Semester Exchange Program, Computer Science & History Modules, Semester Exchange Program, Computer Science & History Modules at Swansea University
B.S. in Computer Science, Minors in Mathematics & Bioinformatics, B.S. in Computer Science, Minors in Mathematics & Bioinformatics at Texas A&M University
Honors Diploma, Computer Science Pathway, Weighted: 4.66/5.00, Unweighted: 4.00/4.00, Computer Science, Honors Diploma, Computer Science Pathway, Weighted: 4.66/5.00, Unweighted: 4.00/4.00, Computer Science at Sunset High School