# Sushma Deegoju

> SDE @Amazon | Virginia Tech | Ex-Samsung | NIT Delhi | GHC 2023 (In-person)

Location: Seattle, Washington, United States
Profile: https://flows.cv/sushma

Hey there!

As a graduate student in Computer Science at Virginia Tech, I specialize in Software Engineering and have a passion for web development and data visualization. I have developed a React.js, Golang, and PostgreSQL-powered Key Metrics app that visualizes real-time data from diverse platforms using Recharts, leading to a 25% increase in incident prediction accuracy and a 38% reduction in incident response time for IT security analysts.

Previously, I worked as a Software Engineer at Samsung R&D Institute India for two years, where I optimized the performance of Deep Packet Inspection (DPI) Engine using C++ and received the Spot Award for improving the operation time by 100%. I also integrated a new feature into the existing QUIC protocol implementation and developed a multi-layered traffic classification model using Neural Networks, achieving the accuracy of 97%. Additionally, I automated the regression testing environment using Python scripts and improved the robustness and code coverage of the DPI solution by writing unit test cases using Gtest framework.

I have a strong background in C++, C, JavaScript, Golang and Python programming languages, as well as Docker, Kubernetes, and Linux skills. I hold a B.Tech degree in CSE from National Institute of Technology Delhi and have completed multiple certifications in Kotlin, Neural Networks, and Deep Learning from LinkedIn and Coursera. 

These are my skills:
• Languages : C++, Golang, Java, Python
• WebDevelopment: JavaScript -React.js, Redux, Node.js, Express.js, TypeScript, RestfulAPI, SpringBoot, 
                                   Hibernate, JPA, HTML5, CSS3
• Databases : SQL - MySQL, PostgreSQL, NoSQL - MongoDB
• Tools: Kubernetes, Docker, SonarQube, Jenkins, Linux, GIT, GitHub, GitLab, Postman, Figma, Material- 
              UI, JIRA, Gtest, GDB, PGAdmin, VS Code, IntelliJ, Perforce, Swarm, Wireshark

I am actively looking for full-time opportunities starting from May 2024 in Software Engineering, where I can apply my skills and learn from the industry experts. 

If you are a recruiter, feel free to reach out via email at sushmadeegoju16@gmail.com or connect with me on LinkedIn.

## Work Experience
### Software Dev Engineer @ Amazon
Jan 2024 – Present | 98109, Seattle, Washington, United States

### Web Developer @ University Libraries at Virginia Tech
Jan 2024 – Jan 2024 | Blacksburg, Virginia, United States

### Graduate Assistant @ Virginia Tech
Jan 2023 – Jan 2024 | Blacksburg, Virginia, United States
• Developed a Key Metrics application using React.js, Golang, and PostgreSQL, achieving a 25% increase in incident prediction accuracy.
• Implemented RESTful APIs in Go to optimize data accessibility and integration with frontend, reducing the response time by 30%.
• Built VT Minimum Security Standards website using React, Golang, and PostgreSQL, capable of handling 5,000 concurrent users.
• Implemented PostgreSQL's indexing and query optimization for enhancing site performance and reducing server load by 25%.
• Integrated Git version control in the development workflows, resulting in reducing the bug resolution time by 20%.

### Senior Software Engineer @ Samsung R&D Institute India
Jan 2022 – Jan 2022 | Bengaluru, Karnataka, India
• Solely responsible for integrating a new feature into QUIC protocol using C++, achieving a 50% improvement in application detection.
• Executed integration tests on Linux servers using Kubernetes pods, leading to a 20% reduction in deployment time.
• Developed a Multi-layered traffic classification model using Neural Networks and achieved the accuracy of 97%.
• Mentored intern in integrating Machine Learning into DPI for real-time algorithm testing, improving the portfolio performance by 15%.

### Software Engineer @ Samsung R&D Institute India
Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India
• Optimized Deep Packet Inspection (DPI) Engine performance in C++, improving the operation time by 100% and achieved the Spot Award.
• Automated the regression testing environment using Python scripts, improving the test execution speed by 83%.
• Improved the robustness of DPI solution by writing unit test cases using Gtest framework to increase the code coverage from 40% to 90%.
• Identified and rectified 25+ critical code issues, reducing potential vulnerabilities by 40% during regular code review participation.
• Implemented daily SonarQube and Jenkins checks, reducing critical errors by 35% and  ensuring consistently reliable code.

### Research Assistant @ National Institute of Technology Delhi
Jan 2019 – Jan 2019 | Narela, Delhi, India
Worked on a project titled Handwritten Character Recognition using Artificial Neural Networks. This uses Neural Networks for recognition and Adam optimizer to reduce the loss function, which helps in faster computation and require fewer parameter for tuning.


## Education
### Master of Engineering - MEng in Computer Science
Virginia Tech
Jan 2022 – Jan 2024

### B.Tech in CSE
National Institute of Technology Delhi
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/sushma-deegoju-vt

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Source: https://flows.cv/sushma
JSON Resume: https://flows.cv/sushma/resume.json
Last updated: 2026-03-22