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Jeevan Thapa Email & Phone Number
Graduate Research Assistant
at
Rochester Institute of Technology
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Role
Graduate Research Assistant
Location
Rochester, New York, United States
Who is Jeevan Thapa? Overview
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Jeevan Thapa is listed as Graduate Research Assistant at Rochester Institute of Technology, based in Rochester, New York, United States. AeroLeads shows a matched LinkedIn profile for Jeevan Thapa.
Jeevan Thapa previously worked as Machine Learning Engineer Level III at Fusemachines and Machine Learning Engineer Level II at Fusemachines. Jeevan Thapa holds Doctor Of Philosophy - Phd, Computing And Information Sciences from Rochester Institute Of Technology.
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Rochester Institute of Technology
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Profile bio
About Jeevan Thapa
As a PhD student in Computing and Information Sciences at RIT, I am passionate about developing networks that adapt to changing environments. My research focuses on continual learning, a branch of machine learning that aims to enable models to retain and update their knowledge over time while adapting to dynamic environments. Before joining RIT, I worked as a Level III Machine Learning Engineer at Fusemachines, where I led and contributed to four deep learning projects to solve real-world problems.
Listed skills include Python, Machine Learning, Deep Learning, Computer Vision, and 2 others.
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7 roles
Jeevan Thapa work experience
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Graduate Research Assistant
Current- Researching in Continual Learning at Lab of Use-inspired Computational Intelligence (LUCI)
Aug 2022 - Present
Machine Learning Engineer Level Iii
- Built a similar image search model with a custom contrastive loss to identify if a similar image has been posted across ads - Led team on analysis on the effect of song quality, commercial length, and part of the day in the panelists with custom metrics, and statistical tests to identify the quality of songs
Feb 2022 - Jun 2022
Machine Learning Engineer Level Ii
- Led the design of a deep learning pipeline for recognizing human trafficking (both images and text), implementing similar image search, face-based person matching, NER-based social handle extraction, and establishing the data annotation pipeline.- Conducted a feasibility test on the use of AutoEncoder-based semi-supervised learning for network anomaly.
Feb 2021 - Feb 2022
Machine Learning Engineer Associate
- Developed a tailored object detection system by integrating SSD and MobileNet architecture with focal loss to determine the type of waste and the intent of the person disposing of it- Involved in the design and development of course materials for the fuse|ai program, focusing on Computer Vision, Transformer-based Natural Language Processing, and Time.
Sep 2019 - Feb 2021
Mathematics For Ai Instructor
- Instructed undergraduate course covering fundamental topics for machine learning, including Linear Algebra, Calculus, Probability and Statistics, and Information Theory.
Jan 2021 - Jul 2021
Ai Intern
- Worked in a near real-time Nepali License Plate Recognition project, to recognize the license plate number in of vehicles from the video-feeds
Jan 2018 - Jun 2018
2 education records
Jeevan Thapa education
Doctor Of Philosophy - Phd, Computing And Information Sciences
Bachelor'S Degree Of Computer Engineering, Computer Science
FAQ
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What company does Jeevan Thapa work for?
Jeevan Thapa works for Rochester Institute of Technology.
What is Jeevan Thapa's role at Rochester Institute of Technology?
Jeevan Thapa is listed as Graduate Research Assistant at Rochester Institute of Technology.
Where is Jeevan Thapa based?
Jeevan Thapa is based in Rochester, New York, United States while working with Rochester Institute of Technology.
What companies has Jeevan Thapa worked for?
Jeevan Thapa has worked for Rochester Institute Of Technology, Fusemachines, Herald College Kathmandu, and Leapfrog Technology, Inc..
How can I contact Jeevan Thapa?
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What schools did Jeevan Thapa attend?
Jeevan Thapa holds Doctor Of Philosophy - Phd, Computing And Information Sciences from Rochester Institute Of Technology.
What skills is Jeevan Thapa known for?
Jeevan Thapa is listed with skills including Python, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Recommender Systems.
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