Open to opportunities

Vamsi Krishna Kanagala

@vamsikrishnakanagala

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Full-Stack Software Engineer with expertise in scalable applications.

United States

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What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can contribute to impactful projects and continue to grow my technical expertise.

I am a Full-Stack Software Engineer with over 5 years of experience in building high-performance applications and distributed backend systems. My expertise lies in developing scalable microservices and responsive web interfaces, with a strong focus on delivering reliable and maintainable code for enterprise-scale platforms.

At Goldman Sachs, I designed scalable portfolio tools that improved platform efficiency by 40% and engineered high-availability microservices that significantly reduced latency. My work on Kafka-based pipelines achieved sub-60ms API latency for real-time trading applications, showcasing my ability to handle complex, performance-critical systems. I am passionate about leveraging technology to solve real-world problems and continuously seek to enhance my skills and knowledge in the field.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer II

Current

Goldman Sachs

Feb 2022 - Present (4 years 4 months)

Designed scalable full-stack portfolio tools using Java, Angular, Node.js, and Python, improving platform efficiency by 40% and accelerating user workflows. Engineered high-availability microservices for clustered environments using Spring Boot and Vert.x, reducing ingestion and processing latency by 70%.

Java Angular Node Python Spring Boot Vert.X Kafka React Elasticsearch Datadog)Splunk Datadog

Software Engineering Intern

Teradata Corporation

May 2021 - Dec 2021 (7 months)

Devised a D2D prototype in C++17 to enhance Bloom Filter reusability in hash joins, reducing computational redundancy during filtering and projection. Analyzed performance metrics using TPC-H Benchmark queries over a substantial 10TB dataset on AWS EC2 M5 instances, updating query processes reduced the CPU execution time by 19.4%.

Bloom Filter TPC H Benchmark AWS EC2 Query Optimization Bloom Filters

Software Engineer - 1A

Bank of America

Jun 2018 - Dec 2019 (1 year 6 months)

Enabled JWT-based authorization for 40+ APIs using Spring Boot for secure role-based access control. Automated legacy data pipelines using SQL Server Agent jobs, reducing batch execution time by 45% and improving daily data freshness.

JWT Spring Boot API Security SQL Server Data Pipelines Automation