
Saaiheswar Gamidi
Data Engineer Intern

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Connect with Saaiheswar Gamidi to Send Message
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About me
LLM Developer @ Lubar College of Business | Graduate Teaching Assistant | MS Data Science@ UWM | LLM, Multimodal AI, Prompt Engineering
Education

Indian School of Business
2019 - 2020Technology Entrepreneurship Programme Entrepreneurship/Entrepreneurial StudiesA one year semi-virtual certificate course on entrepreneurship provided by Centre for Innovation and Entrepreneurship (CIE) in association with APITA/TASK.

University of Wisconsin-Milwaukee
2023 - 2024Master of Science - MS Data Science%2C%20Pedakakani(M)%2C%20PIN-522508(CC-BQ).webp)
Vasireddy Venkatadri Institute of Technology, Nambur (V), Pedakakani(M), PIN-522508(CC-BQ)
2017 - 2021B. tech Computer Science EngineeringActivities and Societies: NCC, ISB-TEP
Experience

Tezo
Nov 2020 - Apr 2021Data Engineer Intern
Darwinbox
Oct 2021 - Dec 2022Software Engineer
Apr 2022 - Dec 2022Software Engineer Intern
Oct 2021 - Mar 2022

Lubar College of Business
Oct 2023 - nowGraduate Teaching Assistant for high-impact courses at the intersection of business and technology, "AI for Business", "Business Intelligence Technologies and Solutions" totalling about 70 graduate level students.Facilitate learning in subjects encompassing AI and ML, covering a comprehensive range from Traditional ML to advanced topics such as CNN, GEN AI, LLM model development, Azure ChatGPT, Fine Tuning Models and Prompt Engineering.Contribute expertise in Guiding students through the practical applications of SAP, Orange, Tableau for data analysis, transformations, and reporting visualizations. Show less
Graduate Teaching Assistant
Jan 2024 - nowLLM Developer
Oct 2023 - Feb 2024

Google Developer Student Club - UWM
Oct 2023 - nowTechnical Lead( Web Development)
Licenses & Certifications

Neural Networks and Deep Learning
CourseraJul 2020
Computer Vision Basics
CourseraJul 2020
Introduction to Data Science in Python
CourseraMay 2020
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
CourseraJul 2020
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