• Led the effort to significantly cut down TeamCity build times from 40 minutes to a

brief span, streamlining the process.

• Leading migration from older TIBCO monolith to Microservices based architecture

using AWS reducing Technical Debt.

• Designed Microservice based architecture and optimized for latency.

• Implemented caches and reduced latency and costs by 2x for data APIs interfacing

DynamoDB.

• Owned and operated a high-availability Kafka cluster, proactively monitoring metrics

and implementing fixes to ensure smooth data delivery for critical applications.

• Mentored juniors and actively involved in code reviews, product design, technical

guidance and mentorship.

• Responsible for finding and implementing fixes for bugs and other features in

production.

• Setup DataDog with Kubernetes to monitor performance, logs, abnormalities and

improve observability.

• Go-to-guy for all things performance from Application and AWS to Distributed

Architecture.

• Modified architecture improving performance

• Profiled various microservices using Async Profiler and improved some of them for

up to 5x by reducing CPU and Wall time.

• Reconfigured nodes in Cassandra and improved peak throughput by 20% and

reduced top 95% latency.

• Improved Machine Learning inference service by 4x using caches and reducing

network dependency.

• Reduced 1 Billion DB calls to Cassandra by implementing a Cache storing DB output.

• Implemented batch processing ETL in Spark calling existing Java code as UDF that

improved the throughput by 2x.

• Modified scaling formulas of the load balancer in AWS for ELTs to match SLAs and

was responsible for the Scaling of EC2 machines for APIs.

• Reconfigured Jenkins for faster builds and helped reduce AWS cost in multiple facets

by updating old machines and managing data in S3.

• Setup parallel processing in spark and AWS EMR using Apache airflow and optimized

cost by 50%.