# Siddhanth Reddy Jilkapally

> Software Engineer at Rubrik | CS Grad SBU'24 | CS JNTUHCEH'22

Location: Mountain View, California, United States
Profile: https://flows.cv/siddhanth

At Rubrik, I work on long-running clusters (LRCs), monitoring and triage platforms, ensuring optimal performance and reliability.

At Stony Brook University, as a Research Software Engineer, I drive the Big Spatial Analytics platform for Tissue Imaging project, leveraging my technical skills in Python, Java, and cloud services. Our team focuses on backend development and REST API integrations, enhancing spatial analytics capabilities.

I have also worked as a Software Engineer Intern at Cohesity located in San Jose and my work mostly comprised of REST APIs backend and API Testing as well.

Pursuing my Master's in Computer Science, my academic pursuits align with my professional tasks. I thrive in collaborative environments, where my projects and passion for technology innovation can lead to groundbreaking research and development.

## Work Experience
### Software Engineer @ Rubrik
Jan 2024 – Present | Palo Alto, California, United States
Working as a Software Engineer in the Systems Engineering team at Rubrik, I work on long-running clusters (LRCs), monitoring and triage platforms, ensuring optimal performance and reliability.

### Software Engineer - Graduate Research Assistant @ Stony Brook University
Jan 2023 – Jan 2024 | New York, United States
Project under Prof. Fusheng Wang
Backend Development & API Collaboration: Worked on the backend development using Google Cloud Platform, AWS and collaborated on the creation and integration of REST APIs, enhancing the functionality and interoperability of the spatial analytics platform (Cancer cell and GeoSpatial)
ML Model Development: Developed and integrated ML models into the spatial analytics platform, enabling predictive analytics and pattern recognition. Leveraged TensorFlow & PyTorch for model building, achieving a 30% increase in diagnostic accuracy.
Project Management: Led the Big Spatial Analytics platform, demonstrating strong project management skills through effective collaboration with professors and team members.
Technical Expertise: The project employed a tech stack comprising Java, Spring Boot, Python, ML Libs, Spark, Sedona, AWS, GCP, and React.

### Graduate Teaching Assistant @ Stony Brook University
Jan 2023 – Jan 2023 | Stony Brook, New York, United States
Teaching Assistant under Prof. Christopher Kane: Stony Brook University:
Assisting with TA Sessions, recitation classes, and office hours for the Foundations of Computer Science Programming course CSE 215

### Software Engineer Intern @ Cohesity
Jan 2023 – Jan 2023 | San Jose, California, United States
Software Development: Leveraged expertise in Software development and architecture to implement API migration using the V1 and V2 APIs and the Cohesity SDK, ensuring flawless integration, and resilient functionality for the Cohesity cluster and platform. 
CI/CD & API Workflow Automation Testing: Implemented automated testing using PyTest and Continuous Integration pipelines using Jenkins to maintain code quality and streamline deployment processes, leading to a 60% decrease in deployment errors.
API Usage Monitor: Engineered a project incorporating REST APIs, AWS, Golang, Gin, MongoDB, Prometheus, and Grafana to extract API coverage percentage, enhancing data monitoring and streamlining operational workflows by 58%.
Tools Used: Python, Go, Flask, Prometheus, Graphana, MongoDB, Git, Confluence, JIRA, Jenkins, Linux, Cohesity SDKs

### Senior Research Aide @ The Research Foundation for SUNY
Jan 2023 – Jan 2023 | Stony Brook, New York, United States

### Software Engineer Internship - Bootcamp @ Flipkart
Jan 2022 – Jan 2022
Internship project involved automating credit risk assessment processes and reduced processing time by 25% through multithreaded programming, distributed systems, and caching solutions. Also worked on ML model for Fraud detection and Risk Calculation of Credit data of Users. Led a team in developing a React-based web application that improved data extraction efficiency by 30%.

### Data Analytics Virtual Intern @ KPMG
Jan 2022 – Jan 2022
Data Validation: Analyzed the reliability of the data set provided by a medium-sized bike org., Sprocket 
Efficiency Boost: Increased productivity by about 45% and service delivery based on business metrics. 
Data Analytics: Performed data transformations, feature engineering, and data modeling using Tableau and  PowerBI, which discovered 50% more potential customers and boosted company revenue by about 30%.

### Java Developer Intern @ CodeSpeedy Technology Private Limited
Jan 2021 – Jan 2021 | Hyderabad, Telangana, India
API Development: Worked on a Java-based API project- Airplane reservation system using Java Swing and MySQL, which provides an online ticketing and seat reservation system for domestic and international flights. 
Data Reliability: Designed and maintained reliable Java code which keeps track of 1K+ reservations effectively


## Education
### Master of Science - MS in Computer Science
Stony Brook University

### Bachelor of Technology in Computer Science
JNTUH College of Engineering Hyderabad


## Contact & Social
- LinkedIn: https://linkedin.com/in/siddhanthreddy1531

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Source: https://flows.cv/siddhanth
JSON Resume: https://flows.cv/siddhanth/resume.json
Last updated: 2026-04-11