Shiva Kuppa

I hold a Master of Computer and Information Technology from the University of Pennsylvania (GPA: 3.97) and a Bachelor of Arts in Cell Biology and Neuroscience and Psychology from Rutgers. I focus on applying rigorous engineering and data science to real-world problems.

As a Data Engineer Trainee at Heptronik Corporation, I developed full-stack pharmacovigilance tools by building RESTful APIs with Python and automating workflows using AWS ECS Fargate and shell scripting. I built scalable ETL pipelines with AWS Glue and PySpark, leveraged DynamoDB for near real-time streams, and integrated AWS CodePipeline to automate CI/CD for backend services.

My projects include a RAG-based Street Fighter Assistant using LangChain, ChromaDB, and Hugging Face deployed via Streamlit; NovelNexus, a high-performance MySQL site hosted on Amazon S3 with a BCNF-normalized schema for millions of reviews; and a Fake Reviews Detector achieving 95% accuracy using supervised, unsupervised, and deep learning methods with OpenAI augmentation. I prioritize accuracy, scalability, and user-facing clarity in every project.

I bring hands-on experience across cloud, backend, ML, and BI tooling and enjoy roles that let me design resilient data pipelines, improve model reliability, and deliver actionable insights. I aim to join collaborative teams where I can continue growing in data engineering and applied ML.