BRAHANYAA SOMASUNDARAM
Sunnyvale,CA
Summary
Software Engineer with deep expertise in distributed systems, cloud infrastructure,and performance optimization at scale. Proven track record of reducing latency by 40%,cutting costs by 30%, and improving reliability to 99.95% across high-throughput microservices handling 10M+ daily requests. Strong foundation in Java, Kubernetes,and ML infrastructure, with experience migrating production systems to modern JVM versions and implementing scalable feature serving platforms. Passionate about building robust, efficient systems and collaborating across teams to drive technical excellence and business impact.
Overview
5
5
years of professional experience
Work History
Software Engineer -3
Walmart Labs
Sunnyvale, CA
09.2024 - Current
- Reduced infrastructure costs by 30% by optimizing Kubernetes resource allocation and implementing intelligent autoscaling policies across production clusters.
- Improved application performance by 40% through Java 21 migration, JVM tuning, and implementation of context vector caching for ML inference workloads.
- Accelerated deployment velocity by 70% by enhancing CI/CD automation and streamlining KITT-based Kubernetes deployment workflows.
- Increased service reliability to 99.95% uptime by implementing fault-tolerant deployment strategies, and proactive performance monitoring.
- Enhanced code quality by 35% through rigorous code reviews, automated testing frameworks, and the establishment of team-wide best practices.
- Enabled ML feature serving at scale by integrating the Feast feature store, supporting over 10 million daily requests with sub-50 ms p95 latency.
Software Engineer -3
Walmart
Dallas
03.2024 - 08.2024
- Re-architected signal router (transactional component in the Intelligent work management system), optimizing it to achieve a consistent latency of
- Added Looker dashboards to monitor Kafka messages: Implemented Looker dashboards to visualize and monitor the count of message-published and message received from Kafka for the SSR application. The dashboards provide real-time insights into data throughput, enabling proactive monitoring and optimization of data handling process.
- Migrated Kafka brokers of ATLAS to a newer cloud hardware: Successfully migrated critical infrastructure components, including ATLAS tool and Kafka brokers, to NDC1 from CDC. This migration improved the performance ensuring seamless operation of key services.
- Proposed a design initiative for the SAM(software automation manager) tool. The design ensures that the downtime and the amount of uninterrupted operations would be reduced meeting established SLA metrics. Additionally, updated the expiring production certificates of SAM to ensure uninterrupted operation and maintain security compliance.
Software Engineer
Total Wine & More
Remote
03.2023 - 11.2023
- Worked as a software engineer to build a microservices application that manages the Distribution network of Total Wine's supply chain. This project bridges the gap between legacy applications and solves the issues that are faced by customers from supply chain, demand planning and helps to increase the customer base by 30% more than the expected.
- Built an end-to-end ETL data pipeline that enables successful transfer of data from source to destination data source, and the data further is used by the data science team within TWM to make predictions based on customer's demand. Migrated existing data from Clover ETL to Argo ETL (open source data migration workflow) for better performance and efficiency.
- Designed and architected the migration of data to Argo using C#, Big query
- Improved the team's test coverage by 20% by adding additional tests to the legacy applications
Software Engineer
Goldman Sachs
Salt Lake City, Utah
06.2021 - 03.2023
- Worked as a lead engineer for building an application to enhance the security of Pensando Hypervisor (hypervisor owned by NVIDIA). The project aims to increase 15% of the customer base of the hypervisor by addressing the major concerns around security
- Designed and implemented multiple APIs using Java, PostgreSQL and Mockito for the company which included POC and beta testing for initial customers. This project and team were honored at Goldman Sachs Annual Engineering Conference
- Led and end-end design, implementation, testing and deployment of API's from inception, which consolidated data, validated devices and facilitated configuration modifications. The API's have successfully transitioned into production and are now utilized by multiple networking teams. As a result, there has been an 80% reduction in the occurrence of faulty devices.
Data Engineering Intern
ON Semiconductor
Tempe, Arizona
06.2020 - 12.2020
- Built an end-to-end ETL pipeline to consume data from distinct databases, consolidate, and export to be available in a Snowflake database for consumption by various downstream teams using Oracle Data Integrator, SQL and Java.
- Analyzed and optimized worldwide Data Warehouse and Analytics data architecture and roadmap based on effectiveness and scalability leading to faster query results
Education
Master of Computer Science -
ASU
Tempe05.2021
Skills
- Programming Languages: JAVA C# -NodeJS React, SQL, Scala, Python
- Frameworks: Hadoop, Spark, Mockito, Mocha, Flask, Django, Spring Boot
- Databases: PostgreSQL , Cassandra , MongoDB, Bigquery , Azure
- Tools: Git Docker Kubernetes
Timeline
Software Engineer -3
Walmart Labs
09.2024 - Current
Software Engineer -3
Walmart
03.2024 - 08.2024
Software Engineer
Total Wine & More
03.2023 - 11.2023
Software Engineer
Goldman Sachs
06.2021 - 03.2023
Data Engineering Intern
ON Semiconductor
06.2020 - 12.2020
Master of Computer Science -
ASU