BHAVANA CHOWDARY VASIREDDY
San Jose,CA
Summary
Software Engineer MTS with 5+ years of experience building distributed systems, data infrastructure, and cloud-native applications at scale. Currently optimizing Kafka/Mirus infrastructure at Salesforce, identifying $288K in cost savings through data-driven capacity analysis. Previously architected AWS Fargate improvements at Amazon, reducing costs by $130K monthly and improving performance by 20%. Strong expertise in Python, Java, Go, SQL, and cloud platforms (AWS, Kubernetes), with a track record of delivering measurable business impact.
Overview
7
7
years of professional experience
Work History
Software Engineer MTS
Salesforce
05.2025 - Current
- Developed Trino SQL data analysis pipeline analyzing CPU utilization across 45+ Kafka and Mirus clusters, processing millions of container metrics from Huron data lake and identifying $288K in annual cost savings opportunities through capacity optimization.
- Built an automated EBS monitoring system in Python using AWS Boto3 SDK managing 1000+ volumes with Kubernetes-aware CloudWatch alarms and dynamic lifecycle management, reducing manual intervention by 90% and improving incident detection time by 40%.
- Deployed production monitoring solutions to Kubernetes using Helm charts with CI/CD integration and created Argus dashboards for infrastructure observability across 50+ production environments.
- Achieved "Agentblazer Champion" status on Salesforce Trailhead, demonstrating foundational expertise in AI agents, Prompt Engineering, and the Einstein Trust Layer.
Software Dev Engineer
Amazon
07.2022 - 12.2024
- Architected scalable distributed systems for AWS Fargate improving container startup times by 20%, directly increasing customer satisfaction scores and enabling faster workload deployment across the platform.
- Automated snapshot cleanup process after deep copying to new images, eliminating manual operations and saving $130K monthly in storage costs across AWS infrastructure.
- Designed and implemented resource allocation algorithm increasing task density efficiency by 15%, optimizing compute utilization and reducing infrastructure costs for Fargate customers.
- Built deployment automation using AWS CDK reducing manual intervention by 85% and accelerating release cycles by 20%, while expanding Fargate service to 5 new AWS regions.
- Implemented runtime monitoring features for real-time disk storage analysis providing actionable insights, and maintained 95% on-call issue resolution within 30 minutes ensuring 99.9% service uptime.
- Mentored 2 interns on AWS architecture and Fargate infrastructure development.
Systems Engineer
Infosys Limited
09.2018 - 04.2020
- Built full-stack enterprise applications using MERN stack (MongoDB, Express.j, React.js, Node.js) and Java Spring Boot, streamlining operations and saving clients 200+ hours monthly through automated workflows.
- Developed RESTful APIs and middleware solutions for Aetna healthcare client improving scalability and reliability of enterprise integrations, and built SPAs with React.js/Redux improving user satisfaction by 30%.
- Optimized API performance reducing response times by 25% through efficient database queries, caching strategies, and code refactoring, while maintaining comprehensive test coverage.
Education
Master of Science - Computer Science
Texas Tech University
Lubbock, TX, USA05.2022
Bachelor of Science - Electronics and Communication Engineering
KL University
Guntur, India05.2018
Skills
- Programming Languages: Java, Python, Go, Kotlin, TypeScript, SQL
- Backend: Spring Boot, Hibernate, Nodejs, Expressjs
- Frontend: Reactjs, Redux
- Cloud & Infrastructure: AWS (EKS, ECS, Fargate, Lambda, S3, SNS, SQS, CloudWatch), Kubernetes, Docker
- Data & Messaging: Kafka, PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Trino
- DevOps & Tools: Jenkins, GitLab CI/CD, Terraform, Ansible, Helm, AWS CDK
- Monitoring: Prometheus, Grafana, CloudWatch, Argus, Loki
- AI & Automation: Artificial Intelligence (AI) Fundamentals, Natural Language Processing (NLP), LLM (Large Language Models) concepts, Prompt Engineering basics, Agentforce platform, Generative AI, Workflow Automation
Timeline
Software Engineer MTS
Salesforce
05.2025 - Current
Software Dev Engineer
Amazon
07.2022 - 12.2024
Systems Engineer
Infosys Limited
09.2018 - 04.2020
Bachelor of Science - Electronics and Communication Engineering
KL University
Master of Science - Computer Science
Texas Tech University
AWARDS
Received accolades for reducing the Container Startup times and adding a Threat model to Fargate | Amazon | 2023., Recognized for outstanding contributions to the Fargate Data Plane team | Amazon | 2024.