# Saipranav Kotamreddy > Actively Searching for Full-Time Opportunities | Masters @ UC Davis Location: Hayward, California, United States Profile: https://flows.cv/saipranav Software Engineer for Omada.AI. Some areas that I am specialized in are large scale distributed systems in data storage and processing, transactional systems, data science/analytics, and AI agentic modelling. I am looking forward to participating in various fields to solve industry problems in a collaborative manner. ## Work Experience ### Software Engineer @ Omada.AI Jan 2025 – Present | San Francisco Bay Area -Developed AI tools for converting user social media preferences into regular social media post generation, alongside image and video generation -Created multiple AWS workflows for asset generation, storage, and retrieval -Worked on multi agent architecture to assign agents specialized tasks which transfer context between one another to allow for deeper reasoning and more detailed responses -Wrote multiple OpenAI tools to allow for communication between OpenAI agents and backend workflows ### Software Engineer @ Intel Corporation Jan 2025 – Jan 2025 | California, United States Developed a microservice to automate production pipelines in Intel Foundry, reducing task time by 60%, eliminating 90% of human errors, and saving 20,000+ engineering hours annually Architected a centralized data platform to integrate disparate data streams, enabling unified analytics via agentic tools, BI platforms, and dashboards. Built a custom dashboard and UI used by 20+ Intel teams & external vendors Leading interns, I translate user stories into detailed system and technical designs, assist in implementation and debugging, and am accountable for timely delivery Wrote APIs for data pull and access, alongside scripts which run at set intervals to create custom views for production data for daily engineer overview and analysis ### Teaching Assistant @ University of California, Davis Jan 2024 – Jan 2025 | Davis, California, United States Working in a instruction role for an Undergraduate Databases course. I conduct discussions covering course content, project implementation guidelines and strategies, as well as general coding help. I also host sessions to help students design system architecture and offer critiques of the pros and cons of their systems from an efficiency and correctness standpoint ### Software Engineer @ ResilientDB- Apache Foundation Jan 2023 – Jan 2025 | Davis, California, United States I am working as a research assistant in ResilientDB at UC Davis under the guidance of Prof. Sadoghi on the Apache Incubator project ResilientDB. One of my main roles is implementing a new concurrency control protocol for the ResilientDB blockchain system. The original model utilized a serial execution method, while the solution I developed enables concurrent execution of transactions, allowing for parallel transaction processing with no loss in data integrity. A larger throughput allows for a greater number of batch requests to be processed, increasing the overall operating efficiency of the platform/system. My implementation currently increases throughput by over 7x, with my efforts now focusing on adding abort functionality to the system in an efficient manner. In addition to my concurrency control role, I am also developing a visualization software known as ResView on top of the ResilientDB architecture in order for users to interface with the service in a streamlined and manageable manner. ResView allows users to send transactions to ResilientDB and displays the process of blockchain consensus in real time. This data is collected directly from the consensus protocol and tracks the transaction progression across the different phases and nodes. In addition to displaying consensus, ResView enables users to see how the different nodes collect messages from one another and the differences in the rate of message accumulation, which is a way to check on the healthiness of a node. Finally, ResView allows users to test faulty nodes to test edge cases where multiple nodes in the system are down or view changes are required to progress, which previously required hard coding faulty functionality. For more info on ResilientDB, visit https://resilientdb.com/ My code can be found in the following repositories: https://github.com/apache/incubator-resilientdb/tree/QueccBranch https://github.com/ResilientApp/ResView https://github.com/apache/incubator-resilientdb/tree/ResView ### Software Engineer @ Intel Corporation Jan 2024 – Jan 2024 | California, United States Working on automation scripts and visualization tools to create more efficient and accurate processes for chip development, allow for more detailed chip evaluation, and track efficacy of in-house and vendor recipes over time ### Software Engineer @ H1 Jan 2022 – Jan 2022 | New York, United States H1 believes in providing a trusted and single source of truth for healthcare professional information and the ecosystem in which they operate, will power connections in healthcare - and that these connections will lead to a healthier future. As a software engineer intern at H1, I had the opportunity to do the following: - Designed and implemented new collections in MongoDb, as well as models, interfaces, and controllers for each schema using Typescript. Also defined inter-collection relationships and created custom indexing. - Developed aggregate pipelines for creating views using the documents. - Assisted in large scale data transfer from a PostgreSQL database to MongoDb - Worked with PySpark and Hadoop to create data frames for large-scale data retrieval - Designed several APIs to leverage database contents and format them to customer requests - Created front-end applications in React for clients to access the APIs through and update relevant data - Created Unit Tests using Sinon and Sandbox to achieve a 100% coverage rate on existing code - Worked in a 2-week sprint structure, using Jira to document tickets, and participated in peer-review - Wrote documents on Confluence concerning Portal usage and maintenance - Worked with geographically distributed teams across East Coast, Eastern Europe, and India ## Education ### Bachelor of Science - BS in Computer Science University of California, Davis ## Contact & Social - LinkedIn: https://linkedin.com/in/saip-reddy --- Source: https://flows.cv/saipranav JSON Resume: https://flows.cv/saipranav/resume.json Last updated: 2026-03-31