I'm a computer science PhD student at UTA, currently researching in
the field of network virtualization for cloud and distributed systems.
Away from keyboard, I enjoy playing football (soccer) ⚽,
trekking 🚶,
sketching 🎨,
singing 🎤,
playing flute 🎶,
and playing with my cat 🐱.
My areas of research interest include
distributed systems,
cloud computing,
machine learning,
and data science.
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University of Texas at Arlington
(Jan 2020—Present)
Graduate Research Assistant
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Studied the behavior of container overlay network on Linux in
great technical detail, and researched ideas to optimize its
performance;
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Modified the Linux kernel source code to implement and test
research ideas.
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Amazon
(May 2024—Aug 2024)
Applied Scientist Intern
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Researched ways to improve ML performance in the presence of
limited labels using various data cleaning and semi-supervised
methods.
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Amazon
(May 2022—Aug 2022)
Applied Scientist Intern
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Researched and evaluated different ways to detect anomalies in the
human label dataset.
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Amazon
(May 2021—Aug 2021)
Applied Scientist Intern
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Developed algorithms and machine learning models to detect global
inconsistencies in the Amazon catalog.
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Docsumo
(Jul 2018—Dec 2019)
Data Scientist
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Developed models to analyze document images and extract structured information
from them;
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Gained experience in all stages of typical data science
projects: data collection and annotation, model research,
development and evaluation, production-ready model deployment;
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Developed business chatbots and BI reports for international e-commerce clients;
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Developed predictive analysis system to detect anomalies in time-series data.
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LIS Nepal Pvt. Ltd.
(Oct 2017—Jun 2018)
Business Intelligence (BI) Developer
- Developed and optimized large-scale SQL queries;
- Developed business Intelligence (BI) reports for global retail businesses using Oracle BI suite;
- Built a real-time customer sentiment analysis of tweets using IBM Watson;
- Wrote data integration scripts using big data technologies (Hadoop, Hive, Sqoop, Flume).
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M. Munikar, J. Lei, H. Lu and J. Rao, "ECON: Expedited Container Overlay Networks," submitted to OSDI 2024.
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J. Lei, M. Munikar, H. Lu and J. Rao,
"Accelerating Packet Processing in Container Overlay Networks via Packet-level Parallelism,"
In Proceedings of the 37th IEEE International Parallel and Distributed Processing Conference (IPDPS ’23),
2023.
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M. Munikar, J. Lei, H. Lu and J. Rao,
"PRISM: Streamlined Packet Processing for Containers with Flow Prioritization,"
In Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems (ICDCS ’22),
2022.
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J. Lei, M. Munikar, K. Suo, H. Lu and J. Rao,
"Parallelizing Packet Processing in Container Overlay Networks,"
In Proceedings of the Sixteenth European Conference on Computer Systems (EuroSys ’21),
pp. 261‒276, 2021.
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M. Munikar, S. Shakya and A. Shrestha,
"Fine-grained Sentiment Classification using BERT,"
2019 IEEE International Conference on
Artificial Intelligence for Transforming Business and Society
(AITB '19), Kathmandu, Nepal, 2019.
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P. Dhakal, M. Munikar and B. Dahal, "One-Shot
Template Matching for Automatic Document Data Capture,” 2019 IEEE International Conference on
Artificial Intelligence for Transforming Business and Society
(AITB '19), Kathmandu, Nepal, 2019.