I’m a Software Engineer at Microsoft, a recent BTech graduate from IIT Madras, and someone passionate about everything from backend development to networks and Linux systems. I love working with Kafka, building scalable solutions, and diving deep into the world of APIs and CI/CD pipelines.

Originally from Andhra Pradesh, India, I now call Bengaluru home.

• Software Engineer — Microsoft India
  June 2025 - Current

• SDE Intern — Atlassian India
  May 2024 - July 2024

  • Worked on developing an orchestration engine with SDKs, APIs, and monitoring tools for seamless data migration (server-to-cloud & cloud-to-cloud).
  • Integrated PiTest for mutation testing (achieving 85% coverage).
  • Implemented Bitbucket CI/CD pipeline integrations for PR checks.
  • Automated pre-deployment stability checks (Pollinators).
  • Tech Stack: Java, Kotlin, Junit5, Mockito, MockK, PiTest, Spring Boot, Kafka Streams, CI/CD.

BTech in Computer Science & Engineering
IIT Madras | 2021 - 2025

Relevant Coursework:

| Data Structures and Algorithms | Operating Systems | | Computer Networks | Compiler Design | | Object-Oriented Programming (OOPS) | Pattern Recognition & Machine Learning | | Computer Organization, Architecture | Database Systems | | Probability & Statistics | Design, Analysis of Algorithms |

• EMG Signal Classification (Research)
  Developed a 1D Dilated CNN for real-time EMG gesture classification (91.36% accuracy), with significant performance gains (from 90.69% to 97.24% on a subset of 5 gestures).

• Lossless Text Compression
  Created an algorithm using Hoffmann Coding achieving ~45% average size reduction in text files.

• Realtime Chat Application
  Built a TCP-based, multithreaded server-client chat app for seamless real-time communication.

• Memory Management Engine
  Simulated OS memory management with paging, virtual memory, and LRU replacement.

• Music Streaming Application
  Developed a TCP-based client-server music app, leveraging multithreading for concurrent users.

• MNIST Digit Recognition
  Implemented dimensionality reduction (PCA and Kernel PCA from scratch), visualized data, and evaluated performance on MNIST.

• Languages: C/C++, Java/Kotlin, Python
• Command Line: Linux CLI, Git, Bitbucket & Pipelines
• Containerization: Docker
• Build Tools: Gradle
• Frameworks: Spring Framework, Spring Boot
• Testing: Mockito, MockK, Unit Testing, Mutation Testing
• Project Management: Jira, Confluence, Trello
• APIs & Messaging: REST API, Kafka, Kafka Streams
• Monitoring & Logging: Splunk, SignalFx

• Email: [email protected]
• LinkedIn: linkedin.com/in/sasi-kumar-reddy-doddamreddy
• GitHub: github.com/Sasi-D

⚽ I’m a sports enthusiast — football and cricket always keep me on my toes.
🔧 I love testing out new gadgets, from laptops to smartphones.