Software developer intern

Sameera Sineen

******.****@*****.*** • GitHub • LinkedIn • Portfolio

Summary

Recent Computer Science graduate with a strong foundation in data engineering, full-stack development, and software automation, eager to grow in the field of AI/ML. Through academic projects and internships, I’ve gained hands-on experience in Python, SQL, Docker, and Git—applying these tools to build and deploy real-world applications. I’ve contributed to open-source projects, worked on cloud-based deployments using AWS, and explored machine learning workflows including model integration and automation. My background also includes exposure to data science concepts, database systems, and math fundamentals like linear algebra and statistics, reinforced through coursework and research-focused work at TACC. I thrive in collaborative, agile environments and am excited to continue learning and solving meaningful problems at the intersection of data, cloud, and AI. Education

Saint Louis University, M.S, Computer Science (GPA: 3.90) Kakatiya Institute of Technology and Science, B.Tech, Computer Science (GPA: 3.65) Work Experince

Aug 2023 - May 2025

Aug 2019 - May 2023

Texas Advance Computing Center, University of Texas, Austin Jun 2025 - Aug 2025 Software Developer Intern

• Enhanced a user dashboard for natural hazards research by integrating AI-based personalization, research-driven data tools, and ensuring data reliability for sensor and time-series information.

• Collaborated with the Advanced Computing Interfaces (ACI) group to develop scalable tools using React, Python, Tapis, Docker, and Git, while maintaining best practices in version control and CI/CD pipelines.

• Utilized Python, Bash, and REST APIs to design and deploy scalable data pipelines in support of high-performance computing and natural hazards research.

Blackmore Partners Inc, IL Sep 2024 - Apr 2025

Information Technology Intern Chicago (Remote)

• Managed IT support and troubleshooting by automating tasks with Infusionsoft and Power Automate, optimizing system workflows and data extraction processes.

• Directed virtual team operations and independently resolved 90% of technical issues, utilizing Microsoft Suite for rigorous data analysis and maintaining efficient communication protocols. Saint Louis University, MO May 2024 - May 2025

Operations Assistant

• Handled data entry, tracked facility metrics, and ensured policy compliance across CRM platforms, reducing user check-in errors by 25%. Delivered high-quality customer support and front desk coordination, maintaining a 95% satisfaction score from visitors. Saint Louis University, MO Aug 2024 - Feb 2025

Mental Health Illness Data Analysis

• Conducted mental health illness data analysis using machine learning; performed data cleaning, feature selection with SHAP, and model comparison (including CatBoost) to evaluate accuracy, enabling deeper insights through visualizations and predictive modeling. Projects

Built & Deployed a Travel Landing Page

• Developed and deployed a performant web app using Next.js, React, Tailwind CSS, and TypeScript, following modern frontend architecture practices. Set up CI/CD with Github Actions Deployed the app via Docker on AWS EC2, automating release cycles and improving deployment reliability by 40%. Tracked frontend performance metrics and optimized UI responsiveness across devices, reducing load time by 30%.

Developed Event Management System (UEMS) employing Agile methodology

• Developed a University Event Management System (UEMS) using PHP, MySQL, HTML, and CSS, automating event organization and improving efficiency. Deployed with Docker, implemented CI/CD pipelines, and managed tasks using Jira and GitHub, ensuring seamless collaboration and faster deployments.

Skills

• Programming & ML: Python, SQL, React, JavaScript, Bash, MySQL, Django, Machine Learning (model training, evaluation)

• Data Engineering & Cloud: ETL Pipelines, AWS, Docker, Azure, Data Visualization, Data Sceince, Statistical Analysis

• Development & Tools: Git/GitHub, CI/CD (GitHub Actions), RESTful APIs, Agile (Scrum, Jira), Application Deployment

• AI & Data Analaysis: Machine Learning (CatBoost, SHAP), Data Cleaning, Feature Selection, Predictive Modeling

• Foundational & Soft Skills: Data Structures, Algorithms, Communication, Problem-Solving, Fast Learning, Team Collaboration

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