Mononito Goswami
Applied Scientist II at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolMononito Goswami is an Applied Scientist II at AWS in Seattle with a PhD in Robotics from Carnegie Mellon and eight years of experience bridging cutting-edge research and production ML systems. He focuses on advancing foundation models and agentic systems, drawing on internships and research stints at Google and deep ties to CMU’s Robotics Institute. Comfortable moving between large-scale modeling and practical deployment, he has repeatedly returned to AWS through internships before joining full time, signaling strong product-oriented research instincts. His background spans robotics, education-focused AI (RoboTutor), and applied research roles across India and the U.S., giving him a rare blend of algorithmic depth and real-world system engineering. Notably, his trajectory reflects a pattern of short, high-impact research engagements that accelerate technology transfer from lab to cloud.
8 years of coding experience
4 years of employment as a software developer
High School Science (Physics Chemistry Mathematic) with Economics, High School Science (Physics Chemistry Mathematic) with Economics at Fr. Agnel School, NoidaBachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at Delhi College of EngineeringDoctor of Philosophy - PhD Robotics, Doctor of Philosophy - PhD Robotics at Carnegie Mellon University
Hindi, Bengali, English
Stackoverflow
1reputation
0reached
0answers
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Github Skills (43)
hint10
artificial-intelligence10
robotics10
anomaly-detection10
classification10
deepar10
machine-learning10
imputation10
time-series10
large-language-models10
forecasting10
time-series-forecasting10
foundation-models10
computer-vision10
forecast10
Programming languages (7)
Github contributions (5)
mononitogoswami/mononitogoswami.github.io
Jun 2021 - Jul 2026
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:104 pushes, 2 branches in 5 years 1 month
templategithub-pages-templatemmistakesmistakesjekyll
moment-timeseries-foundation-model/moment
May 2024 - May 2025
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
Contributions:3 reviews, 11 PRs, 71 pushes in 1 year
foundation-modelstime-seriesfoundational-modelstime-series-anomaly-detectiontime-series-classification
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