Samrudh Kumaraswamy

About Samrudh Kumaraswamy

Software Engineer with 5+ years of industry experience in the field of backend development, full-stack development, and Cloud Computing. I have graduated with a Master\'s Degree in Computer Science from Northeastern University, Boston MA. I have a strong interest in technology, a sharp eye for detail, and a voracious thirst for knowledge. I\'m currently looking for full-time SDE roles. Please feel free to get in touch with me via email at s••••••••@gmail.com or on Linkedin.Proficiencies:• Languages : Java, Python, Go, C, C++, C#, JavaScript, Kotlin, Typescript.NET, HTML, CSS• Frameworks : NodeJS, ReactJS, AngularJS, VueJS, SpringBoot, REST, Django, Flask, Apache Spark, Apache Kafka• DB’s & Tools : MongoDB, MySQL, Github, Jenkins, AWS, Azure, Selenium, GraphQL, Maven, Mockito, Hibernate• Libraries & Platforms : Numpy, Pandas, Matplotlib, Kubernetes, Docker, Elasticsearch

Experience

1. Software Engineer

   Microsoft

   Jul 2024 — Present · Redmond, WA, US

   Developed new features for voice and phone-call workflows in Dynamics 365 Customer Service Workspace, using ReactJS for frontend and Java for backend services to improve customer-agent interaction experiences. Implemented backend logic for call state transitions, API integrations, and error handling to support scalable and reliable call-handling functionality. Built backend APIs in Java to support call routing, recording, and transcription, processing over calls per day, and ensuring seamless integration with Azure Communication Services. Innovated a feature to handle simultaneous browser sessions by preserving call invites, reducing failed call initiations by 35%, and preventing premature rejections to improve multi-tab usability. Engineered voice and telephony microservices on Kubernetes with autoscaling and resilient scheduling, ensuring high availability and seamless call handling, improving uptime by 25%. Delivered an LLM-powered summarization feature that automatically generated clear and concise post-call notes in real time, significantly reducing agent documentation effort by 40% Implemented ML-based sentiment analysis and intent detection pipelines that delivered 20% faster customer insight visibility to supervisors, improving escalation workflows.

Education

• Northeastern University

  Master of Science - MS Computer Science

  2021 — 2023

• RV College Of Engineering

  Bachelor of Engineering (BE), Computer Science, First Class With Distinction

  2013 — 2017