About me

As a Machine Learning Engineer and Computer Science graduate, I specialize in developing innovative solutions at the intersection of artificial intelligence, environmental technology, and cybersecurity.

My research work focuses on Graph Convolutional Neural Networks with attention mechanisms for water treatment systems, where I've developed predictive models that identify causal relationships and detect operational faults. This US National Alliance for Water Innovation funded research has led to multiple forthcoming publications in prestigious journals including Desalination and Nature Scientific Data. Beyond research, I lead development teams and manage complex technical projects.

At Nanoinfo, I oversee a diverse team building a comprehensive nanomaterial database that tracks environmental impacts and toxicity profiles—combining data science with environmental consciousness. My technical expertise spans Python, Golang, and DevOps technologies, which I've leveraged to create projects ranging from Linux package managers to recommendation engines. I maintain a personal homelab infrastructure that hosts this portfolio, secure password management systems, and other services using modern cloud tunneling technology.

In cybersecurity competitions, I've proven my skills by ranking in the top 100 individuals (out of 600) in the National Cyber League's experienced bracket and helping lead my team to an 11th place finish among 460 teams.

I'm driven by the challenge of applying computational methods to solve real-world problems, particularly in areas where technology can improve sustainability and security. My approach combines rigorous technical knowledge with practical implementation skills and leadership experience.

I'm currently seeking opportunities to apply my expertise in machine learning, software engineering, and data science to projects that make a meaningful impact.

Papers currently in progress:

  • M. Clement, Y. Zhou, N. Marki, B. M. Khan and Y. Cohen, "Performance forecasting of multi-modal operation of a wellhead water treatment system via Graph Convolutional Networks with attention mechanism" Desalination, In preparation (2025)
  • B. M. Khan, M. Bunte, C. Aguilar, K. Mahida, M. Soto, N. Marki, Y. Zhou, Y. Jarma, M. Clement, N. Kelly and Y. Cohen, "Dataset of the intermittent multi-modal operation of a wellhead reverse osmosis water treatment system for process innovation based on data-driven approaches" Nature Scientific Data, In preparation (2025)
  • B. M. Khan, M. Clement, Y. Zhou, N. Marki and Y. Cohen, "Machine Learning for Distributed Intelligent Water Treatment and Desalination Systems: Current Advancements and Future Prospects" Water Technology Journal, Ready for submission (2025)

    • What i'm doing

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      Machine Learning

      Currently working on a ML research project with Dr. Bilal Khan for a US National Alliance for Water Inovation funded project to develop GATConv's for predictions and fault detection

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      Software Engineering

      Building high-end applications in Python and C++! Working on learning new languages (Golang) and enhancing my skills in Python further.

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      Cybersecurity

      Active member of CSUSB Cyber Intelligence and Security Organization (CISO) and Participating in Cyber competitions. Competed in National Cyber League at placed 11th in team games and Top 100 in individual games.

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      Looking for Jobs!

      I am currently open to job offers. Please contact my business email listed in the side bar!

    Resume

    Education

    1. California State University, San Bernardino

      Jan 2024 - May 2025

      Graduated with Master of Science in Computer Science

    2. California State University, San Bernardino

      Jan 2020 - Dec 2023

      Graduated with a Bachelor of Science in Computer Science

    Experience

    1. Graduate Research Assistant

      Jan 2024 — Current

      • Developed a Graph Convolutional Neural Network model with attention mechanism (GATConv) for describing and forecasting multi-modal operational performance of a wellhead reverse osmosis (RO) water treatment and desalination system
      • Utilized the GATConv models to discern useful causal relationships for prediction and fault detection in the treatment system
      • Carried out comprehensive model development pipeline which includes data acquisition and cleaning (including outlier removal via violin plots and t-SNE), model development and validation and causal relationship identification
      • Developed and currently working on preliminary computational causal relationship analysis approaches for robust fault detection and identification techniques

    2. Undergraduate Research Assistant

      Jan 2023 — Dec 2023

      • Organized team of five undergraduate and graduate students in developing a large-scale nanomaterial information database, which includes nanomaterial details, prediction models, toxicity screening and environmental impact
      • Administrated private GitHub repository and implemented branch protections and rulesets
      • Led group and individual meetings weekly to share progress as well as foster a teamwork focused environment
      • Linux CLI to write and modify Python, PHP, and JS files contained on an AWS EC2 instance

    3. Website Manager & Tournament Director

      March 2016 — May 2023

      • Successfully organized and optimized schedules for 10-15 employees, ensuring smooth operations, and maintaining seamless event execution
      • Collected and managed customer information, ensuring accuracy and confidentiality
      • Successfully developed and maintained a high-traffic website, averaging over 100,000 yearly visitors, by implementing effective design and content strategies
      • Created and implemented internal documents to efficiently track and manage events, streamlining organizational processes
      • Proficiently communicated with government and business entities via email to secure promotional deals or allocations for public parks
      • Developed and executed impactful email newsletters, reaching over 5,000 email addresses promoting company events and promotions
      • Expertly resolved technically computer errors and diligently maintained computer equipment to ensure seamless operations
      • Collected customer payments and managed up to $10,000 in cash, maintaining impeccable financial records

    My skills

    • Python
      90%
    • Data Science
      85%
    • Machine Learning Design
      80%
    • Golang
      70%
    • Cybersecurity
      60%