Hello, I'm Amit Dutta, a Ph.D. candidate in Computer Science at the University of Nevada, Reno, focusing on adaptive learning systems. I have 6+ years of combined software engineering and applied AI research experience, building scalable ML pipelines, adaptive training systems, and full-stack applications using Python, PyTorch, LangChain, LangGraph, Spring Boot, React, and React Native.
My work includes peer-reviewed research on statistically effective adaptive training algorithms and production applications used by 10,000+ users.
A focused selection of research, ML, and production applications that best represent my work.
ResearchAn adaptive system that uses a neural network to personalize training by predicting performance and targeting learner weaknesses.
Research
MobileA focused stack for building adaptive AI systems, ML pipelines, and production-ready applications.
Adaptive systems, model development, and agentic workflows.
Experiment tracking, reproducibility, and deployment flow.
APIs, services, databases, and production application logic.
Modern interfaces for web and cross-platform mobile apps.
Cloud services, source control, and application data stores.
University of Nevada, Reno
Pursuing a PhD in adaptive learning systems focused on combining machine learning and evolutionary computing. Developed neural network–based algorithms for personalized training.
2023 – PresentBrainstation23, Dhaka
Led development of Sharebike, a white-label bike-sharing app using React Native, Firebase, Stripe, and CodePush. Implemented Stripe for in-app payments. Built web apps with React and managed CI/CD pipelines using Fastlane and CircleCI. Also developed and maintained a microservice-based backend using Java Spring Boot. Mentored junior developers and created internal libraries to streamline development.
2021 – 2023Sweetitech, Dhaka
Developed multiple enterprise-level mobile and web applications using React, React Native, and Java Spring Boot. Built RESTful APIs, implemented MySQL database schemas, and integrated features like authentication, push notifications, and role-based access control. Contributed to ERP, HR, and pharmacy management systems deployed on both Android and iOS platforms.
2020 – 2021BRAC University Computer Club
Developed club management software using JavaFX and created design content using Photoshop and After Effects.
2018 – 2019NokshaIA, Dhaka
Designed and developed 2D games, implemented core gameplay mechanics, and contributed to game logic and UI programming.
2017 – 2018Peer-reviewed work connecting adaptive training, reinforcement learning, and applied AI systems.
Amit Dutta and Sushil J. Louis
Adaptive Instructional Systems, 8th International Conference, AIS 2026, 2026. Held as part of HCII 2026, Montreal, QC, Canada, July 26-31, 2026. Springer Nature, p. 301.
Amit Dutta and Sushil J. Louis
International Conference on Human-Computer Interaction, 2025. Springer, pp. 19-34.
Amit Dutta, Nafiz Imtiaz Rafin, M. Ali Akber Dewan, and Md. Golam Rabiul Alam
IEEE Access, 2024. Vol. 12, pp. 31287-31311. IEEE.
Biplob Kumar Daas and Amit Dutta
Journal of Materials Research, 2014. Vol. 29, no. 21, pp. 2485-2490. Springer.
Please contact me directly at [email protected] or through this form.
