Ritabrata Maiti
Postdoctoral Researcher at Nanyang Technological University Singapore
Singapore, Singapore
Summary
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Senior🎓
Top SchoolRitabrata Maiti is a Postdoctoral Researcher and PhD scholar in Computer Science based in Singapore with nine years of experience applying deep learning and reinforcement learning to resource allocation and optimization in Industrial IoT (IIoT) networks. He combines rigorous academic research at Nanyang Technological University with industry-focused problem solving through an attachment at ARTC, A*STAR, and now a postdoc role at Microsoft, translating novel algorithms into practical IIoT and cache-enabled systems. His work spans multi-agent reinforcement learning for cache refreshing and deploying LLMs within constrained IIoT environments, including hands-on fine-tuning of multimodal models. As a graduate teaching assistant he regularly mentors undergraduates and designs lab experiments, sharpening his communication and pedagogy alongside research. Early internships in predictive analytics—from solar irradiance forecasting to stock trend prediction—illustrate his ability to bridge theory and production-ready solutions. Colleagues know him for integrating mathematical rigor with pragmatic simulations to push AI that is both performant and deployable in real industrial settings.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.58, Doctor of Philosophy - PhD, Computer Science, 4.58 at Nanyang Technological UniversityBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Delhi College of EngineeringHigher Secondary, Science, Higher Secondary, Science at Global India International School, Singapore
Stackoverflow
13reputation
2kreached
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1question
Github Skills (66)
tpot10
classifier10
genetic-algorithm10
flask-api10
random-forest9
ai-ml9
parameter-tuning9
scikit-learn9
aiml9
python8
automl8
feature-engineering8
genetic-programming8
generative-adversarial-network8
naive-bayes8
Programming languages (6)
Github contributions (5)
ritabratamaiti/AnyModal
Nov 2024 - Apr 2026
AnyModal is a Flexible Multimodal Language Model Framework for PyTorch
Contributions:1 review, 2 PRs, 37 pushes in 1 year 5 months
language-modelmultimodalpytorch
ritabratamaiti/ASD-ML-API
Apr 2018 - May 2020
This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask API to make predictions in the cloud.
Contributions:2 releases, 40 commits, 39 pushes in 2 years 2 months
classificationclassifierflask-apigenetic-algorithmmachine-learning
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