Data Engineer and Full Stack Developer at the School of Polymer Science & Engineering, building Django-React systems and ETL workflows that process 50,000+ records. I focus on scalable software, secure data governance, and practical AI-enabled solutions for research and industry.
I am currently working as a Data Engineer and Full Stack Developer at The University of Southern Mississippi, where I design enterprise data models, automate ETL workflows, and build full-stack systems using Django, React, PostgreSQL, Python, and SQL.
Alongside my role, I am an AI4ALL Ignite Fellow focused on applied AI, LLM workflows, and LangChain integrations. As a Computer Science student with a 4.0 GPA, I have earned the President's List for four consecutive semesters.
GPA
Projects
Year Student
Records Processed
GitHub Repositories
Manage enterprise data models and ETL workflows using Python and SQL to query, clean, and synthesize 50,000+ records into a custom research database.
Built and deployed a Django backend, React frontend, and PostgreSQL stack to streamline bulk record uploads and cut manual upload time by 97%, while documenting tests, errors, and weekly progress for stakeholders.
Project Link: polymermorphology.org
Selected for a highly competitive accelerator and dedicating 10+ hours per week to generative AI, LLMs, and prompt engineering research.
Prototype AI workflows with Python and LangChain, while exploring enterprise integration patterns for cloud-based AI agents.
Explained algebraic logic and mathematical problem-solving to diverse student groups, helping them troubleshoot assignments effectively.
Reviewed student solutions with strong attention to detail to identify calculation errors and reinforce foundational algebraic principles.
Relevant Coursework: Database Management Systems, Intro to AI, Machine Learning, Object-Oriented Programming, Algorithms, Computer Systems, Operating Systems, Secure Software Development, Computer Networks, Linear Algebra, Probability & Statistics, Data Governance Concepts
Coursework: Computer Science, Mathematics, English, Physics
Architected a scalable Next.js + React interface and achieved a 98/100 Lighthouse performance score through optimized rendering and frontend performance tuning.
Designed PostgreSQL data models for 1,000+ concurrent transactions and implemented strict Row Level Security (RLS) for secure data isolation aligned with PII/PHI standards.
Developed a Django-React web application for polymer image analysis and visualization.
Engineering a cross-platform desktop application in modern C++ and Qt 6 for polymer image analysis and visualization, supporting advanced segmentation, synthetic image generation, and publication-ready chart exports for microscopy workflows. Architecting modular analysis pipelines with batch processing, plugin-ready extensibility, and interactive GUI built on MVC/MVVM design.
Built autonomous reporting and deployment pipelines using GitHub Actions and Docker, with automated unit and integration tests on every commit.
Developed a Flask backend for API handling and validation, achieving 99.9% uptime while integrating AR features that required debugging hardware-browser and server-side interactions.
A web app that has resources on how to pass the computerized license test of Mississippi, featuring practice tests and study materials.
Built a web app that attempts to replicate human emotions while conversing with an AI chat bot, creating more engaging AI interactions.
I also create visual stories through photography and cinematic edits, capturing portraits, events, and campus life with a clean, narrative-driven style.
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P. Pandey | Research Project 2025/26
Developed a Django-React web application for polymer morphology analysis, enabling researchers to upload, analyze, and visualize microscopy images and metadata for hundreds of polymer samples with advanced data visualization and export features.
P. Pandey | Research Project 2025
Engineering cross-platform desktop application for polymer microscopy image analysis using C++, Qt 6, and OpenCV with advanced segmentation and visualization capabilities.
P. Pandey | USM School of Polymer Science 2025
Developed comprehensive Django-React platform automating analysis of hundreds of polymer samples and thousands of microscopy images with 97% reduction in manual data entry.
P. Pandey | Class Project 2024
Developed innovative web application combining AR technology with mental health awareness, achieving 25-35% improvement in myth-busting quiz scores and 40% AR tour completion rate.
P. Pandey | CodeBusters Project 2024
Created comprehensive web platform for programming education with in-browser code execution capabilities.
Actively learning and contributing to full-stack web applications using Django, React, and PostgreSQL to build scalable, user-centric solutions for research and real-world problems.
I'm always interested in discussing computer science, research opportunities, or potential collaborations. Feel free to reach out!