Manidhar Mulagapaka
Software Developer @ TikTok | Master\'s in Computer Science
- Role
- Software Developer at TikTok
- Location
- Santa Clara, CA, US
- LinkedIn followers
- 500 followers
About Manidhar Mulagapaka
As a software engineer and a master\'s student in computer science at the University of Southern California, I am passionate about building robust and scalable web and mobile applications using cutting-edge technologies and frameworks. I have a strong background in Go, Python, React, and Node, and I am always eager to learn new skills and tools to enhance my development capabilities.I have over a year of professional experience in developing solutions for e-commerce and SaaS products, working as a software development engineer intern at SailPoint and a software engineer at WorkSpan. Some of my notable achievements include developing a SailPoint connector for PagerDuty, extending the functionality of the WorkSpan SDK, and leading the data migration effort from GCP MySQL to Cassandra. I have also built a multi command pipeline for SailPoint CLI, a microservice to process and convert CRM data, and a policy-based system to create CRM business objects, resulting in significant improvements in performance, efficiency, and customer satisfaction.I am motivated by solving real-world problems with innovative and user-friendly solutions, and I enjoy collaborating with diverse and talented teams to deliver high-quality products. My goal is to leverage my skills and experience to contribute to the growth and success of a forward-thinking and dynamic organization.
Experience
Software Developer
Nov 2023 — Present
Enhanced functionality and resolved issues in the Central Ticket Tool (CTT) application, optimizing the handling of over tickets and improving processing efficiency by 50%Implemented new features in the Access Assurance SDK, driving increased adoption rates across teams and improving overall usability by 25%Successfully integrated kiteworks with lark ecosystem resulting in secure file sharing across bytedanceIntegrated large language models into the Central Ticket Tool, reducing ticket review time from 24 hours to 16 hours, enhancing efficiency by 66%
Education
University of Southern California
Master's degree, Computer Science
2021 — 2023
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