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.
Software Engineer Intern, Meta
May, 2025 - Aug, 20252 months
Autotuned RocksDB (Storage Engine) to select different compression algorithms and compression levels based on the IO goal and CPU budget provided
Designed and implemented auto skip compression; On compression-unfriendly data, saving up to 33% CPU resources
Graduate Teaching Assistant, The University of Texas at Arlington
Aug, 2021 - Present
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)
Graduate Research Assistant, The University of Texas at Arlington
Jun, 2022 - Aug, 20222 months
Graduate Research Assistant under Prof Dr. Song Jiang System lab.
Solution Engineer, LogPoint
Apr, 2018 - Jul, 20213 years 3 months
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.
Software Engineer, Fusemachines
Sep, 2017 - Apr, 20187 months
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.
Student Internship, E&T Groups
Jun, 2016 - Sep, 20163 months
We were tasked with researching and implementing the solution for automatic setup of OS and the required application such that the workstation is ready to be used by the developer.
- Present
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
- Present
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.
C++
C
python
MATLAB
Bash
SQL
Linux
Python
TensorFlow
scipy
Jupiter
Hadoop
Kafka
HTML
CSS
Bootstrap
MERN
MEAN
JavaScript
Flask
Jamstack
MySQL
AWS
Azure
Docker
Kubernetes
SIEM
UEBA
Computer Engineer, Doctor of Philosophy - PhD, The University of Texas at Arlington
Aug, 2021 - Aug, 2026
Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Tribhuvan University, IOE Central Campus, Pulchowk
Dec, 2013 - Dec, 2017
Best Paper , 5th IEEE International Conference on High-Performance Big Data and Intelligent Systems 2023 (HDIS 2023)
Awarded on: Dec 08, 2023
Awarded among 23 selected papers.
FuseMachines AI Fellowship , FuseMachines
Awarded on: Jan 01, 2017
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.
IOE Pulchowk Campus Scholarship , IOE Central Campus, Pulchowk
Awarded on: Jan 01, 2017
Earned a scholarship at IOE Pulchowk Campus through a highly competitive national-level exam, securing a seat in the Bachelor of Engineering program.
2nd Runner up in +2 Mechanical Design Competition , 4th National Mechanical Engineering Exhibition 2012
Awarded on: Feb 02, 2013
Earned a scholarship at IOE Pulchowk Campus through a highly competitive national-level exam, securing a seat in the Bachelor of Engineering program.
1st runner up Hult prize@ Tribhuvan University , Hult Prize, Central Campus, Pulchowk
Awarded on: Dec 15, 2016
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.
2nd place in Intra-Municipality Chess Competition , Lalitpur Central Campus, Pulchowk
Awarded on: Jan 01, 2017
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
Team Certification , Leadership Center at the University of Texas Arlington
Awarded on: Jan 01, 2024
Wokrshop on Trust, Encourangement, Accountability, Motivation of TEAM
President, Yangubahal Child Club
- Present
Led the Child Club initiatives and organized community events.
Organizer, Pulchowk Engineering Campus
- Present
Organized tech talk programs.
Mentor, Hack a Week
- Present
Mentored students during the hackathon.
Speaker, Python User Groups, Nepal
- Present
Gave a talk on PyTorch.
Tech Speaker, Mozilla
- Present
Served as a Tech Speaker.
Participant, FuseMachines
- Present
Awarded 3rd position in the Intra Company impromptu speech competition.
Student Member, IEEE Nepal
- Present
Volunteer as Webmaster and IEEE Day 2017 Ambassador and organized Data Science Meet-up
Point of Contact, IOE FOSS Community
- Present
Served as the point of contact.
volunteer, LOCUS
- Present
organized 12th National Technological Fest organized by LOCUS 2014/2015
TurboIndex: Making a Page-based DB index Both Memory-space and Disk-I/O Efficient, 44th IEEE International Performance Computing and Communications Conference (IPCCC 2025)
Published on: Oct 01, 2025
Authored by Sujit Maharjan, Shuaihau Zhao, and Song Jiang. Accepted for publication.
From LeanStore to LearnedStore: Using a Learned Index to Improve Database Index Search , 5th IEEE International Conference on High-Performance Big Data and Intelligent Systems 2023 (HDIS 2023)
Published on: Dec 08, 2023
Awarded as Best Paper among the 38 accepted submissions.
Chess
Books
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. :)