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MG@miligupta
Aspiring software engineer with expertise in data analytics and migration.
United StatesI'm a recent graduate with a B.S. in Computer Science, specializing in Machine Learning, and a B.S. in Criminology & Criminal Justice. My experience includes working as a Software Engineer for the Department of Defense, where I contributed to the migration of internal intelligence data and analytics to advanced cloud systems. I have a strong foundation in programming languages such as Python, Java, and SQL, and I am proficient in various technologies including Docker, Kubernetes, and React.
During my internship at the Applied Research Laboratory for Intelligence and Security, I developed a software dependency auditing prototype that enhanced the security of intelligence data. My academic projects, such as analyzing NYC AirBNB data and forecasting music trends, have honed my analytical skills and ability to work collaboratively in teams. I am passionate about leveraging technology to solve complex problems and am eager to contribute to innovative projects in the tech industry.
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Work history, roles, and key accomplishments
Department of Defense
Jun 2024 - Apr 2025 (10 months)
Led the migration of internal intelligence data and analytics from VMWare Horizon QTool and GHOSTMACHINE Cloud to C2S/Kubernetes Data Lake and Elastic. Reprogrammed Apache Pig analytics to PySpark and adjusted intelligence analytics recording to fit new system criteria. Researched and reported on migration criteria, suggesting methods for team communication regarding analytics correspondence acros
Applied Research Laboratory for Intelligence and Security
May 2022 - Aug 2022 (3 months)
Developed a software dependency auditing prototype in Python using Snyk API to enhance intelligence protection. Displayed aggregated and prioritized summaries of key risk indicators for packages across large portfolios using a React web application. Presented bi-weekly updates to teams and faculty, fostering collaborative progress.
Cloud Computing Research Lab @ UMD
Jan 2020 - Dec 2020 (11 months)
Collected and clustered NASA satellite images of polar lows using KMeans and Gaussian Mixture Model with VGG16 in Python on Google Colab. Visualized the feature extraction network using TensorFlow. Presented the final deliverable with data at a research symposium, showcasing project outcomes.
Degrees, certifications, and relevant coursework
UPBachelor of Science, Computer Science (Machine Learning)
UPBachelor of Science, Criminology & Criminal Justice
United StatesYou can contact Mili and 90k+ other talented remote workers on Himalayas.
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