Kapileshwor Ray Amat
Passionate about leveraging artificial intelligence and machine learning to solve complex problems and drive innovation in research and industry applications.
About Me
A brief introduction to my background and expertise
Currently, I serve as a Doctoral Graduate Research Assistant at North Dakota State University, where my focus lies in advanced AI and machine learning research. My work supports projects that merge theoretical research with practical applications, particularly in the field of healthcare. This role has allowed me to deepen my skills in LLMs, responsible AI, and interdisciplinary research collaborations.
At Evangelist Apps, a growing tech company, I contributed across multiple roles over a span of more than two years. As a Software Engineer, I led end-to-end software design, managed projects, and applied my expertise across more than nine core development areas. This full-time role sharpened my skills in scalable system architecture and cross-functional collaboration.
Before transitioning into full-time engineering, I worked as a Software Test Engineer, focusing on quality assurance, test automation, and performance validation. In this remote, part-time position, I utilized tools like Jira and modern testing frameworks to ensure high product reliability. My journey at Evangelist Apps began with an internship as a Quality Assurance Engineer, where I built a strong foundation in manual testing, test case creation, and automation strategies.
Skills & Expertise
Artificial Intelligence
Specialized in developing intelligent systems using Large Language Models, Generative AI, and advanced neural networks to solve complex real-world problems, particularly in healthcare applications.
Machine Learning
Expert in implementing and optimizing machine learning algorithms for complex real-world problems.
Research
Published researcher with experience in advancing the state-of-the-art in AI applications.
Software Development
Strong foundation in software engineering principles and best practices for scalable applications.
Professional Experience
My career journey and professional achievements
Doctoral Graduate Research Assistant
North Dakota State University
Spearheading cutting-edge research in Large Language Models (LLMs) and Generative AI, with a specific emphasis on their application in healthcare. My work involves developing and implementing AI solutions that are not only innovative but also adhere to responsible AI principles, ensuring ethical and safe deployment in medical contexts. This includes developing new methodologies for medical data analysis, model fine-tuning and optimization for clinical decision support systems, and creating AI-powered tools for healthcare.
Software Engineer
Evangelist Apps
Led end-to-end software design, development, and project management for multiple projects. Applied expertise across various core development areas, including front-end development with React, back-end development with Java and Python, database management with MySQL, and testing with Selenium and Playwright. Responsibilities included gathering requirements, creating technical specifications, managing development teams, and ensuring timely delivery of high-quality software.
Software Test Engineer
Evangelist Apps
Focused on quality assurance, test automation, and performance validation for web and mobile applications. Developed and maintained automated test suites using Selenium, Appium, and Playwright. Utilized Jira for bug tracking and test case management. Conducted performance testing to identify and resolve performance bottlenecks.
Education
My academic background and qualifications
Ph.D. in Computer Science
North Dakota State University
Specialized in Artificial Intelligence and Machine Learning focusing on Large Lanaguage Model and Generative AI in Healthcare
B.Tech in Computer Science and Engineering Specialization in Internet of Things
Jain (Deemed-to-be University)
Focused on algorithms and computational theory. Completed thesis on efficient algorithms for large-scale data processing. Teaching assistant for undergraduate computer science courses.
Certifications
Professional certifications and qualifications
Introduction to Large Language Models
Google Cloud Skills Boost