I am Ratan Tejaswi Vadapalli, a Software Engineer with a Master’s in Computer Science from Indiana University, Bloomington, and a Bachelor’s in Computer Science and Engineering from Amrita Vishwa Vidyapeetham, Bengaluru, specializing in AI, cloud computing, and full-stack development. I have expertise in retrieval-augmented generation (RAG) models, LLM-based AI agents, Python, ReactJS, NodeJS, Django, SQL, and Microsoft Azure, along with Power BI, ETL pipelines, and automation. At Pasco County Clerk & Comptroller's Office, I developed an AI Chat Agent using Meta LLaMA 3.3 70B, automated workflows with Webex bots, and built a county marriage license system, reducing customer wait times by 7 minutes while optimizing data migration and analytics, leading to 12% cost savings. Previously, at Hoosier Community Network, I built and optimized project management platforms, improving efficiency by 60%, and at Bosch, I spearheaded scalable data pipelines handling 200M+ records, increasing data processing efficiency by 85%. I have also developed projects like WhatTree and StockSim, integrating AI, cloud services, and automation into high-performance applications. With a Microsoft Azure (AZ-900) certification and a strong foundation in machine learning and AI-driven automation, I am passionate about building scalable, secure, and innovative software solutions.
Indiana University, Bloomington
2022 - 2024
The program focused on advanced topics in computer science including Algorithms, Machine Learning, Data Science, Distributed Systems, Databases and Software Engineering. Coursework involved practical projects and collaborations that emphasized real-world applications of technology and software development.
Amrita Vishwa Vidyapeetham, Bengaluru
2016 - 2020
Completed a comprehensive undergraduate program which covered fundamental and advanced subjects such as Object-Oriented Programming, Data Structures, Machine Learning, and Software Engineering. Engaged in various projects that required intensive research and collaborative skills, culminating in a capstone project on natural language processing.