About Me

Summary Link to heading

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.

Research Interests Link to heading

  • Storage Systems: Distributed & Cloud Storage, Storage Engines, Key-Value Databases
  • Database Systems: Indexing structures (Learned Indexes), Query Optimization
  • Machine Learning & Systems (MLSys): Large Language Models (LLMs), MLSys optimization

Publications Link to heading

  • 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)
    Authors: 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)
    URL: IEEE Link
    Award: Best Paper Award (among 38 accepted submissions).

Work Experience Link to heading

  • Meta (May 2025 — Aug 2025)
    Software Engineer Intern

    • Autotuned RocksDB (Storage Engine) to dynamically select different compression algorithms and compression levels based on the configured IO goal and CPU budget.
    • Designed and implemented auto-skip compression on compression-unfriendly data, saving up to 33% CPU resources.

  • The University of Texas at Arlington (Aug 2021 — Present)
    Graduate Teaching Assistant

    • Undergrad level courses: Operating Systems (Spring 2024), Computer Organization and Assembly Language Programming (Fall 2021).
    • Graduate level courses: Design and Analysis of Algorithms (Spring 2022, Spring 2023, Summer 2023, Fall 2022, Fall 2023), Web Data Management (Summer 2022).

  • The University of Texas at Arlington (Jun 2022 — Aug 2022)
    Graduate Research Assistant

    • Worked in the Systems Lab under the supervision of Prof. Dr. Song Jiang.

  • LogPoint (Apr 2018 — Jul 2021)
    Solution Engineer

    • Led the deployment of SIEM (Security Information and Event Management) as an offshore L2/L3 team member, providing solutions to global clients including Siemens and Fujifilm.
    • Organized recurring “GuruCool” knowledge-sharing sessions and provided a comprehensive 360-degree overview of the LogPoint product, acting as the Single Point of Contact (SPOC) between development and over 1,000 clients.
    • Assisted the Operations Team in utilizing a Machine Learning-based Threat Detection Platform (UEBA) fueled by Spark and Hadoop (log ingestion, advanced analytics, and cluster resource predictions).
    • Utilized monitoring tools to automate the collection and analysis of system-related statistics for SLA compliance.

  • Fusemachines (Sep 2017 — Apr 2018)
    Software Engineer

    • 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.
    • Automated the model training process using AWS Spot Instances, optimizing resource efficiency and reducing costs.
    • Completed the Columbia University MicroMasters Program in Artificial Intelligence (online) through the Fusemachines AI Fellowship and mentored new fellows.

  • E&T Groups (Jun 2016 — Sep 2016)
    Student Internship

    • Researched and implemented solutions for the automatic setup of operating systems and applications to ensure developer workstations are instantly ready to use.

Education Link to heading

  • The University of Texas at Arlington (2021 — 2026)
    Doctor of Philosophy - PhD in Computer Engineering

    • GPA: 4.0 / 4.0
    • Supervisor: Prof. Dr. Song Jiang

  • Tribhuvan University, IOE Central Campus, Pulchowk (2013 — 2017)
    Bachelor of Engineering (B.E.) in Electronics and Communications Engineering

    • Score: 76.5%

Skills Link to heading

  • Programming Languages: C++, C, Python, SQL, Bash, MATLAB
  • Operating Systems: Linux
  • Machine Learning: TensorFlow, SciPy, Jupyter, PyTorch
  • Big Data: Hadoop, Kafka, Spark
  • Web Development: HTML, CSS, JavaScript, Bootstrap, Flask, MERN/MEAN Stack, Jamstack, MySQL
  • Cloud & DevOps: AWS, Azure, Docker, Kubernetes
  • Security: SIEM, UEBA (User and Entity Behavior Analytics)

Awards & Honors Link to heading

  • Best Paper Award: 5th IEEE International Conference on High-Performance Big Data and Intelligent Systems 2023 (HDIS 2023).
  • FuseMachines AI Fellowship: Selected as one of 27 top students out of 400 international candidates to secure the fellowship ($1,200 scholarship).
  • IOE Pulchowk Campus Scholarship: Secured a scholarship at IOE Pulchowk Campus by competing in national-level entrance exams.
  • 2nd Runner up: +2 Mechanical Design Competition 2012 (Tight Rope Robotic Arm Model).
  • 1st Runner up: Hult Prize @ Tribhuvan University (refugee assistance franchise business model).
  • 2nd Place: Intra-Municipality Chess Competition.
  • Team Certification: Leadership Center @ UT Arlington 2024 (Workshop on Trust, Encouragement, Accountability, Motivation).

Volunteer & Leadership Link to heading

  • President, Yangubahal Child Club: Led local youth initiatives and organized community events.
  • Organizer, Pulchowk Engineering Campus: Organized tech talk programs and student presentations.
  • Mentor, Hack a Week: Represented Fusemachines as a mentor for student hackathons.
  • Speaker, Python User Groups, Nepal: Gave a talk on PyTorch and deep learning.
  • Tech Speaker, Mozilla: Served as a speaker and active member of Mozilla Nepal.
  • Student Member / Webmaster, IEEE Nepal: Volunteered as webmaster, IEEE Day 2017 Ambassador, and organized Data Science meetups.
  • Point of Contact, IOE FOSS Community: Actively managed events and community relations.

References Link to heading

“Sujit and I have been labmates during his PhD studies at Learned Index… 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 on winning the HDIS23 Best Paper award!”
— Xingsheng Zhao, PhD Labmate

“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.”
— Krishna Khadka, Colleague

“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.”
— Sushil Thapa, Colleague