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Hey, I'm Shreekar, a junior at UW-Madison, from Chicago, studying Computer Science and Data Science. Thanks for stopping by!
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PROFESSIONAL EXPERIENCE
Lumafield - Incoming Software Engineering Intern
San Francisco, CA | May 2025 – August 2025
- DevOps and Platform Engineering using Kubernetes, Celery, Django, and Terraform.
University of Wisconsin-Madison - AI Researcher
Madison, WI | September 2024 - Present
- Translanguaging foundational multilingual, multimodal Large Language Model for English-Spanish translation
GE HealthCare - Software Engineering Intern
Arlington Heights, IL | May 2024 - August 2024
- Cloud Infrastruture Management, Full-stack development for secure authentication platforms, Healthcare AI Model Training
University of Wisconsin-Madison - CS300 Course Assistant
Madison, WI | January 2024 - Present
- Teaching Java and developing learning strategies
Fermi National Accelerator Laboratory - Data Engineering Intern
Batavia, IL | June 2022 - September 2022
- ML models for superconducting magnet failures, desktop analysis software, data analysis algorithms
University of Illinois Chicago - Data Science Research Intern
Chicago, IL | May 2022 – October 2022
- Data analysis tools for RNA sequencing
George Mason University - Data Science Research Intern
Fairfax, VA | June 2022 - August 2022
- Data analysis tools for spatial analysis
EDUCATION
| Degree |
Institution |
Graduation |
GPA |
| B.Sc. in Computer Science and Data Science |
University of Wisconsin – Madison |
May 2026 |
3.7/4.00 |
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Courses
Intro to Machine Learning, Algorithms, UI/UX, Big Data Systems, Discrete Math, Linear Algebra, Object Oriented Programming, Multivariable Calculus, Computer Engineering, Data Science Modeling, Machine Learning for Engineering Research
PROJECTS
WeatherFlow
Technologies: Apache Kafka, Cassandra, Spark, Docker, DevOps, Big Data Systems (2024)
- Architected and implemented a distributed weather data platform to process real-time temperature data.
- Achieved fault tolerance via a multi-node Cassandra cluster with configurable consistency levels.
- Developed predictive analytics tools using Python Spark ML for temperature forecasting and containerized with Docker.