Summary
Amutheezan Sivagnanam is a Postdoctoral Fellow and Informatics Ph.D. with a decade of experience building AI-driven decision systems that keep buses on schedule, optimize vehicle routing, and speed ambulance responses. He combines six years of academic research—publishing first-author papers at ICML, AAAI, and IJCAI—with two years of industry software engineering experience delivering production-ready systems using Java, Python, and C++. His work uniquely blends deep reinforcement learning and combinatorial optimization to produce real-time, cost-effective solutions deployed with industry partners, including heuristics that cut transit energy costs and DRL methods that enable second-scale online routing confirmations. Comfortable across research, prototyping, and CI/CD-driven engineering, he has translated DOE- and NSF-funded studies into practical tools and open-source releases to support reproducibility. Based in Houston, he is known for turning complex, data-rich operational problems into scalable models that demonstrably reduce response times and operating costs.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Houston
Honours Degree of Bachelor of The Science of Engineering Computer Science and Engineering (Integrated Computer Engineering), Honours Degree of Bachelor of The Science of Engineering Computer Science and Engineering (Integrated Computer Engineering) at University of Moratuwa
Doctor of Philosophy - PhD Informatics, Doctor of Philosophy - PhD Informatics at Penn State University
High School Physical Science Stream, High School Physical Science Stream at Jaffna Hindu College
English, Tamil