Sujit Maharjan
Programmer | PhD Candidate | Learned Index | Machine Learning | Key-Value Store | Distributed Storage System | Database System | Large Language Model (LLM) | Machine Learning System (MLSys)
About
I aim to contribute to the advancement of storage systems (distributed/cloud storage, key-value databases), machine learning, Large Language Models (LLMs), and Machine Learning Systems (MLSYS) by developing innovative, scalable, and efficient solutions that address challenges in these areas.
Work Experience
- Undergrad level courses: Computer Organization and Assembly Language Programming (Fall 2021), Operating System (Spring 2024)
- Graduate level courses: Design and Analysis of Algorithm (Spring 2022, Spring 2023, Summer 2023, Fall 2022 and 2023) Web Data Management (Summer 2022)
- Led the deployment of SIEM (Security Information and Event Management) as an offshore L2, L3 team member, providing solutions to global clients, including industry stalwarts such as Siemens and Fujifilm.
- Organized recurring 'GuruCool' knowledge-sharing sessions and provided a comprehensive 360-degree overview of the LogPoint product to ensure seamless communication, acting as the Single Point of Contact (SPOC) between the development team and over 1000 clients.
- Assisted the Operations Team in utilizing a Machine Learning-based Threat Detection Platform (UEBA) that Spark and Hadoop fuel. The responsibilities included the configuration of log ingestion to the cluster, the execution of sophisticated analytics, and the prediction of cluster resource requirements to ensure optimal performance.
- Utilized monitoring tools to automate the collection and analysis of system-related statistics as a member of the Operations Monitoring Team, guaranteeing SLA compliance that exceeds industry standards to deliver consistent quality services.
- Contributed to the AI Research Team under the leadership of Dr. Steven Rennie (former Director of Research at IBM), specializing in image caption generation—developing models to describe images using natural language. Worked closely with a team of 8 members, guided by Dr. Rennie, a distinguished researcher with over 5,346 citations on Google Scholar.
- Automated the model training process using AWS Spot Instances, significantly reducing the cost of training Machine Learning models while optimizing resource efficiency.
- Completed the Columbia University MicroMasters Program in Artificial Intelligence (online) through the FuseMachine AI Fellowship in New York, and mentored new fellows during the 2017 winter session.
Awards
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December 2023
5th IEEE International Conference on High-Performance Big Data and Intelligent Systems 2023 (HDIS 2023)
Best Paper
Awarded among 23 selected papers.
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January 2017
FuseMachines
FuseMachines AI Fellowship
Selected as one of the top 27 students from 400 international candidates for the 2017 Fusemachines AI Fellowship, receiving a USD 1200 scholarship to advance expertise in the emerging field of artificial intelligence.
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January 2017
IOE Central Campus, Pulchowk
IOE Pulchowk Campus Scholarship
Earned a scholarship at IOE Pulchowk Campus through a highly competitive national-level exam, securing a seat in the Bachelor of Engineering program.
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February 2013
4th National Mechanical Engineering Exhibition 2012
2nd Runner up in +2 Mechanical Design Competition
Earned a scholarship at IOE Pulchowk Campus through a highly competitive national-level exam, securing a seat in the Bachelor of Engineering program.
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December 2016
Hult Prize, Central Campus, Pulchowk
1st runner up Hult prize@ Tribhuvan University
Secured 1st runner-up for presenting an innovative solution to support refugees by leveraging the demographic of housewives in refugee camps to establish cottage industry franchises. This initiative aimed to facilitate resettlement while contributing to the host nation's economic growth.
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January 2017
Lalitpur Central Campus, Pulchowk
2nd place in Intra-Municipality Chess Competition
Achieved 2nd place in the Intra-Municipality Chess Competition, representing Yangubahal Macha Pucha, organized by the Lalitpur Sub-Metropolitan City Office, Community Development Section, and Swayamsebi Macha Pucha
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January 2024
Leadership Center at the University of Texas Arlington
Team Certification
Wokrshop on Trust, Encourangement, Accountability, Motivation of TEAM
Volunteer
Projects
- DateBS: Developed an open-sourced Python and JavaScript library and integrated Google Sheets and LibreOffice Calc to seamlessly convert dates between the Nepali (Bikram Sambat) and Gregorian (Anno Domini) calendars. This groundbreaking solution empowered millions of Nepali users to work with their native calendar in widely used spreadsheet applications
- NepalDataScrapper: Developed a Google Sheet add-on named NepalDataScraper to automate the collection of real-time and historical data from the Nepal Stock Exchange (NEPSE). Like integrated Yahoo Finance functionality, NepalDataScraper offers customizable, efficient, and accurate data for investors and analysts.
Contact
Education
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2021 2026 (expected)
The University of Texas at Arlington
Doctor of Philosophy - PhD
Computer Engineer
Grade: 4.0
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2013 2017
Tribhuvan University, IOE Central Campus, Pulchowk
Bachelor of Engineering (B.E.)
Electrical, Electronics and Communications Engineering
Grade: 76.5%
Skills
Publications
awarded as Best Paper among the 38 accepted submissions.
Interests
References
Sujit and I have been labmates during his PhD studies at Learned Index, where he's exploring the fascinating world of machine learning, key-value stores, and database systems. From the very beginning, I've been impressed by his remarkable work ethic, unwavering dedication to research, and exceptional talent. It was a pleasure collaborating with him, and congratulations, Sujit, on winning the HDIS23 Best Paper award!
I've had the pleasure of working alongside Sujit and can confidently say he is an exceptional team member. His ability to provide thoughtful and insightful feedback has been invaluable in our projects. His ever-present curiosity and eagerness to learn and grow professionally are truly commendable. Sujit is undoubtedly an asset to any team.
Sujit is probably the most well rounded professionals I have come across in recent years. He's very talented developer, has good understanding of Deep Learning environments and is very empathetic to his peers. It was pleasure working with him. :)