About Me

Passionate AI researcher and software developer with over five years of experience driving innovation through machine learning. I specialize in crafting advanced models like generative AI and fine-tuning techniques to solve complex challenges across scientific domains. Proficient in Python, C++, and high-performance computing, I’ve led teams and partnered with industry leaders like Google to deliver impactful data-driven solutions, pushing the boundaries of technology.

Work Experience

Sandia National Laboratories

Sandia National Laboratories is a U.S. Department of Energy research facility focused on national security, energy, and advanced technology.

Postdoctoral Researcher (Applied Machine Learning)

Sandia National Laboratories, Livermore, CA | May 2023–Present

Advanced bioinformatics and healthcare solutions by accelerating DNA sequence analysis fourfold through fine-tuning techniques on large-scale GPU clusters, boosting lab efficiency by 95% in molecular design, discovering two manufacturable novel molecules, developing drug repurposing systems using protein interaction data, and enhancing anomaly detection speed by five times for wearable health data.

University of Virginia

The University of Virginia’s Biocomplexity Institute advances research in computational biology, health, and systems science.

Postdoctoral Researcher (Applied Machine Learning)

University of Virginia, Charlottesville, VA | Oct 2020–May 2023

Streamlined healthcare data processing by automating hospital data integration, improved predictive model performance by 15% through temporal network analysis, enhanced accuracy by 7% on complex EHR datasets with innovative algorithms, and collaborated with Google to implement privacy-preserving machine learning solutions.

Washington State University

Washington State University’s School of EECS excels in electrical engineering, computer science, and data science research.

Research Assistant (Data Science)

Washington State University, Pullman, WA | Aug 2015–Sep 2020

Pioneered data analysis by developing a C++-based framework for high-dimensional datasets, drove breakthroughs in maize phenomics through graph-based algorithms, and enhanced clinical insights with interactive visualizations using NodeJS and D3.js for hospital patient trajectories.

KBGroupUK & NRG

KBGroupUK & NRG is a technology firm in Dhaka specializing in e-commerce and software solutions.

Software Development Engineer

KBGroupUK & NRG, Dhaka, Bangladesh | May 2009–Jul 2015

Developed full-stack e-commerce platforms using .NET, HTML, CSS, and JavaScript, boosting ticket sales by 13%, and led a six-person team from 2013 to 2015, achieving 5% year-over-year revenue growth through strategic project management.

Projects

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Resume

Download my full resume to learn more about my qualifications and experience.

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Contact

Email: mhmethun@gmail.com

LinkedIn: linkedin.com/in/mhmethun