Summary
Manish Munikar is a Computer Science PhD candidate and graduate research assistant at UT Arlington with 11 years of industry and research experience in machine learning, computer vision, and systems performance engineering. He has repeatedly bridged research and production through internships at Amazon—working on semi-supervised learning, anomaly detection in labeling, and automated catalog inconsistency detection—and prior roles building document information-extraction pipelines and one-shot template-matching that achieved strong accuracy in production. His current research focuses on improving performance of virtual overlay networks on Linux, combining systems-level insight with data-driven methods. Manish brings a full-stack data science background from data collection and annotation to deployment, with practical experience in CV models (Faster R-CNN, YOLO), NLP, and large-scale ETL/BI systems. Based in Arlington, Texas, he approaches problems with the conviction that “code can solve every problem,” translating that philosophy into pragmatic, reproducible solutions. An underappreciated strength is his track record of converting research prototypes into deployed tools that reduced human review and operational overhead.
11 years of coding experience
4 years of employment as a software developer
High School Physics and Maths, High School Physics and Maths at Glacier International College
PhD Computer Science, PhD Computer Science at The University of Texas at Arlington
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Tribhuvan University, IOE, Pulchowk Campus
Secondary School General Studies, Secondary School General Studies at Jaljala Secondary School
English, Nepali, Nepal Bhasa