Curriculum Vitae

Education

MITx MicroMasters in Statistics and Data Science, MITx on edX (GPA: 4.0, Jan. 2024 - Present)
Courses: Probability (6.041x), Statistics (18.6501x), Machine Learning (6.86x), Statistical Modeling and Computation in Applications (6.419x)
M.S. in Computer Science, University of Alabama in Huntsville (GPA: 4.0, Aug. 2021 - May 2023)
Thesis: Unsupervised Image Segmentation Using Deep Learning
Relevant Courses: Machine Learning, Deep Learning, Reinforcement Learning, Big Data, Data Mining, Algorithms
UAH is classified among “R1: Doctoral Universities: Very High Research Activity”.
B.E. in Mechanical Engineering, Visvesvaraya Technological University (GPA: 4.0, Aug. 2013 - Jun. 2017)
Honor: Best Outgoing Student of the Year, 2017

Designed and developed machine learning-based duplicate claims identification system using Spark and Databricks amounting overpayment recovery of $35 million USD per annum
Designed and developed solution to identify discrepancies in coordination of benefits claims, recovering $25 million USD per annum
Oversaw the operational facets and vigilantly monitored the monthly recurring jobs across various projects, ensuring their timely integration into the Claim Recovery Unit (CRU) database

Designed and developed deep learning-based weather prediction system using SWIN transformers
Improved contrail detection by 30% using deep learning-based image segmentation (U-Net)
Automated the incorporation of HiRISE MRO images to enhance the usability of the image labeling system

Built a machine learning system to identify $2.1M in overpaid claims annually, boosting existing F1-score by 17%

Created household-level poverty prediction models using deep factorization methods, achieving an F1-score of 0.72
Coauthored a genetic algorithm-based road optimization paper that reduced road construction costs by 2-3 times
Developed the Python package nepali-roman for Nepali transliteration with over 31K downloads
Designed an automated system for real-time R-number calculation in Nepal using daily COVID figures
Developed the Python package pymobility and utilized smartphone data to quantify mobility in Southern Asia
Increased efficiency of the team by automating manual data operations using Python

Led the AI and software development of Alaska Fur Gallery, an Ecommerce web application build on Django Oscar
Developed attendance management system for the company and created an attendance dashboard showing visualization of arrival and sign-off times

Data Science/Machine Learning: Well-versed on Python data science ecosystem not limited to Python, PyTorch, TensorFlow, PySpark, Sklearn, pandas, Matplotlib, and SQL
Full Stack Technologies: Worked on several software development projects from conception to deployment. Skilled in leveraging Django, PHP, MongoDB, JavaScript, HTML, and CSS to develop softwares

Regmi, S. (2023). Unsupervised Image Segmentation in Satellite Imagery Using Deep Learning. The University of Alabama in Huntsville.
Bearss, M., Hemming, N., Regmi, S., Alonso, J., Roark, N., Di, V. Petty, M. (2022). Learning to Win Strike Force One with Autonomy.
Banick, R., Regmi, S., Sarma, N. (2022). Exploring smartphone data to estimate mobility in India.
World Bank, 2019. Nepal Development Update, December 2019: Envisioning a Future Data Ecosystem in Federal Nepal.
Heyns, A., Banick, R., Regmi, S. (2021). Roads Development Optimization for All-Season Service Accessibility Improvement in Rural Nepal Using a Novel Cost-Time Model and Evolutionary Algorithm. World Bank PRWP.
Banick, R., Heyns, A., Regmi, S. (2021). Evaluation of rural roads construction alternatives according to seasonal service accessibility using a novel multi-modal cost-time model . Journal of Transport Geography, 93, [103057].
Dixit, A. Regmi, S. (2021). Use of alternative data: High frequency readout of the situation–COVID policies, mobility, and R-Number. arXiv preprint arXiv:2109.00050, 2021 - arxiv.org.

Special Achievement Award 2024, Data and Analytics Division, Health Care Service Corporation
Graduate Assistantship Award, NASA-IMPACT, University of Alabama in Huntsville, 2021
Hacker Noon Contributor of the Year - ALGORITHMS, 2020 (Securing 57% of the total votes)
Best Outgoing Student of the Year, Brindavan College of Engineering, 2017
Indian Embassy Scholar, EdCIL (India) Limited, 2013

Help the mentees to decide their career path (professionally and personally in mutual understanding)
Share professional experiences and motivate mentees to pursue their choice of profession
Guide mentees in sharpening their technical skills by giving weekly assignments and grading them

Facilitated numerous AI workshops in Kathmandu valley so as to promote AI education in Nepal
Mentored fuse.ai open sessions conducted jointly by Fusemachines Nepal and Artificial Intelligence for Development (AID)
Mentored 20+ AI projects to be exhibited at AI Expo 2019 (https://aiexponepal.com/)