Professional Summary Link to heading

PhD Candidate specializing in Database System Internals and Large-scale Infrastructure Optimization. Expert in architecting high-throughput storage engines and query optimization strategies. Proven track record at Meta and LogPoint of optimizing large-scale production I/O pipelines and managing distributed data systems (Hadoop, Spark).

Technical Skills Link to heading

• Languages: C++, Python, MATLAB, Bash, SQL, Go
• Storage & Databases: RocksDB, LSM-Trees, BTree, Vector Indexes, Key-Value Stores, Storage Engines
• Machine Learning: PyTorch, TensorFlow, Apache Spark, lightRAG, VLLM (LLM model serving)
• Infrastructure & DevOps: Kafka, Cassandra, Redis, Zookeeper, Hadoop, Spark, Docker, CI/CD (GitLab/GitHub Actions)
• Cloud Services: AWS, Azure
• Web Hosting: HTML, CSS, Bootstrap, MERN, MEAN, JavaScript, Flask, Jamstack, MySQL
• Security Solutions: SIEM, UEBA (Distributed log storage and analysis systems)

Work Experience Link to heading

• Waymo (Google’s Self-Driving Car) (2026 — Present)
  Software Engineer

  • Working on infrastructure and storage software for autonomous driving systems.

• Meta (May 17, 2025 — Aug 8, 2025)
  Software Engineer Intern

  • Designed and implemented a solution to auto-tune the RocksDB storage engine, optimizing compression algorithms and levels based on I/O goals and CPU budgets to enhance system performance.
  • Engineered an ‘auto skip compression’ feature for compression-unfriendly data, achieving a 33% reduction in CPU resource consumption in a large-scale production environment.

• LogPoint (April 17, 2018 — July 30, 2021)
  Solution Engineer (EU-based Cybersecurity solution provider)

  • Maintained and supported a production data storage and analysis infrastructure for a global SIEM platform, ensuring high availability and performance for clients such as Siemens and Fujifilm.
  • Developed and managed data ingestion pipelines for a distributed, machine learning-based threat detection platform using Hadoop and Spark.
  • Automated the collection and analysis of system-level statistics to monitor performance, predict cluster resource requirements, and ensure SLA compliance.

• Fusemachines (Sept 15, 2017 — April 16, 2018)
  Software Engineer (US-based AI Strategy and solution provider)

  • Developed automation scripts using AWS services to manage and deploy machine learning model training, significantly reducing cloud infrastructure costs and optimizing resource efficiency.
  • Contributed to the AI Research Team specializing in image caption generation, developing models to describe images using natural language.

Education Link to heading

• PhD in Computer Science (2021 — Present)
  The University of Texas at Arlington, USA (CGPA: 4.0/4.0)

  • Supervisor: Prof. Dr. Song Jiang
  • Research Focus: Storage systems, I/O optimization, and Index structures

• Bachelor in Electronics Engineering (2013 — 2017)
  Pulchowk Engineering Campus, Tribhuvan University, Nepal (Percentage: 76.73%)

Publications Link to heading

• Enhancing the performance of disk-based key-value stores: From learned index acceleration to I/O-efficient hybrid caching
  Sujit Maharjan, 2026 (PhD Dissertation)
  URL: UTA Repository Link

• TurboIndex: Making a Page-based DB index Both Memory-space and Disk-I/O Efficient
  Sujit Maharjan, Shuaihau Zhao and Song Jiang
  Accepted to 44th IEEE International Performance Computing and Communications Conference (IPCCC 2025)
  URL: Google Scholar Citation

• ReadBooster: Accelerating Page-based DB Index Read Performance Using Memory-space and Disk-I/O Efficient Hybrid Cache
  Sujit Maharjan, Song Jiang
  Preprint
  URL: ResearchGate PDF Link

• From LeanStore to LearnedStore: Using a Learned Index to Improve Database Index Search
  Sujit Maharjan, Shuaihau Zhao, Chen Zhong and Song Jiang
  Accepted to 5th IEEE International Conference on High-Performance Big Data and Intelligent Systems 2023 (HDIS 2023)
  Award: Awarded as Best Paper (among 38 accepted submissions)
  URL: IEEE Xplore Link

• Image annotation using ZYNQ SoC
  M. Bista, S. Maharjan, 2017
  URL: ResearchGate Link

• FPGA Based Implementation of Digital Image Processing Techniques
  Bachelor’s Project, 2017
  URL: Google Scholar Citation

Teaching Experience (Graduate Teaching Assistant) Link to heading

• Courses Taught: Design and Analysis of Algorithms, Web Data Management, Operating Systems, Computer Organization and Assembly Language Programming.

Awards & Scholarships Link to heading

• Best Paper: 5th IEEE International Conference on High-Performance Big Data and Intelligent Systems 2023 (HDIS 2023).
• TA of the Month (December 2025) from UT Arlington CSE Department.
• Fusemachines AI Fellowship (2017): Selected as one of the top 27 students from 400 international candidates (USD 1,200 scholarship).
• IOE Pulchowk Campus Scholarship: Earned a scholarship seat through national-level entrance exam.
• 2nd Runner up: +2 Mechanical Design Competition for Tight Rope Robotic Arm Model (TRAM) at 4th National Mechanical Engineering Exhibition 2012.
• 1st Runner up: Hult Prize @ Tribhuvan University (presenting refugee resettlement cottage industry model).
• 2nd Place: Intra-Municipality Chess Competition.

Projects Link to heading

• DateBS: (15K+ active downloads on Google Workspace Marketplace) Developed open-source Python and JavaScript libraries, and integrated Google Sheets/LibreOffice Calc to seamlessly convert dates between Nepali (Bikram Sambat) and Gregorian (Anno Domini) calendars.
• NepalDataScraper: Developed a Google Sheet add-on to automate real-time and historical stock data extraction from the Nepal Stock Exchange (NEPSE).

Training & Certifications Link to heading

• Columbia University MicroMasters Program in Artificial Intelligence (via Fusemachines AI Fellowship).
• 7-day Master of Ceremony and Public Speaking Training (Community Development Section, Lalitpur Sub-Metropolitan City Office).
• LogPoint Agile Foundation Program.
• TEAM Certification Workshop (UTA Leadership Center).

Co-curricular Experience & Affiliations Link to heading

• Leadership: President of Child Club, Yangubahal Child Club, Lalitpur, Nepal; Organizer of Tech Talk programs at Pulchowk Campus (YouTube Channel).
• Mentoring: Hack a Week mentor (organized by LOCUS & Department of Electrical, Electronics, and Computer Engineering, TU).
• Speaking: Mozilla Tech Speaker; 3rd position in Intra-Company impromptu speech competition at Fusemachines.
• Affiliations: IEEE Member, IEEE Day Ambassador, and volunteer Webmaster.