Jul 2022 – Present · 3 yrs 11 mos

• Designed and implemented an Apollo Federated GraphQL architecture with 22+ subgraphs and a supergraph to unify microservices under a single interface, improving data integration and performance at scale.
• Architected a scalable API gateway using schema stitching and federation to orchestrate data across multiple domains with minimal latency.
• Led the modernization of payroll systems into gRPC-based microservices on Kubernetes and Envoy, enhancing scalability, resilience, and fault isolation.
• Developed a shared Python library following the Strangler design pattern to support smooth transitions from monolith to microservice architecture.
• Built a remote development platform on AWS EC2 and Docker, cutting setup time from hours to minutes and boosting developer productivity by 32%.
• Built and managed multi-cluster Kubernetes (EKS) and serverless event-driven architectures using AWS Lambda, EventBridge, and Kafka for scalable communication.
• Reduced build time by 60% (55→20 mins) and cut infrastructure costs by 45% through creating selective testing solution, EBS fast snapshot restore, and weighted EC2 spot fleet optimization.
• Automated microservice deployments through a modular AWS CDK/Terraform framework, created CI/CD and AMI pipelines using Harness, Ansible and Packer, ensuring consistent, secure releases.
• Strengthened security and compliance with automated VPC segmentation, IAM guardrails, and network policies aligned with PCI-DSS, GDPR, and SOC2 standards.
• Delivered 99.9% uptime through Datadog, Grafana, and Sentry-based observability, providing real-time visibility and anomaly detection.
• Implemented ProxySQL to optimize connection pooling and query performance, reducing latency for high-traffic services.
• Extensively worked with NGINX and uWSGI mules for high-performance API routing, proxy configurations, and application scalability across distributed environments.

May 2022 – Jul 2022 · 2 mos

• Engineered AWS ECS-based application deployments using Terraform and Ansible, integrating AWS Secrets Manager for seamless, secure configuration management.
• Built scalable CI/CD pipelines in Jenkins, streamlining deployments and improving developer agility across multiple services.
• Applied Layer 7 proxy rules, security groups, and NACLs to enforce strict traffic control across non-production environments.
• Optimized platform performance through custom CloudWatch metrics, autoscaling policies, EC2 spot fleets, and EBS fast snapshot restore, achieving faster rollouts at lower cost.
• Created custom AMIs with automated patching and implemented VPC network mode to support multi-container workloads efficiently.

Jun 2020 – Apr 2022 · 1 yr 10 mos

• Replaced AWS SWF with a database-backed orchestration engine, reducing ETA fleet size 60% and improving reliability.
• Migrated 7 production-critical services from DuploCloud to AWS ECS with zero downtime.
• Consolidated 6 ECS clusters into a unified platform cluster, reducing infrastructure costs by 30%.
• Built a log aggregator, monitoring and alerting pipeline using Kinesis, Sumo Logic, PagerDuty, and Datadog, reducing MTTR by 40%.
• Automated AMI creation via Ansible + Packer for secure, compliant image management.
• Deployed Kinesis Firehose pipelines to stream CloudWatch metrics into Sumo Logic with low latency.
• Developed Jenkins pipelines to automate deployments and streamline release processes.
• Created CloudFront distributions to serve content from edge locations to users so as to minimize the load on the frontend servers.
• Reduced the docker image size by almost 80% by removing frontend assets from docker image and in turn reducing the build and deploy time.

Dec 2019 – Jun 2020 · 6 mos

• An event-driven system built using Python to automate the workflow of pull requests from code review to get deployed in production.
• Designed and implemented a Python-based rule engine to extract rules from YAML files, define states and check for pull requests within repositories, ensuring precise workflow management.
• Configured webhooks on GitHub to handle events, facilitating seamless integration with the event-driven system.
• Implemented forwarding of all GitHub webhook events to AWS SQS for efficient event management.
• Leveraged a Queue poller to manage events received via AWS SQS, ensuring precise and timely processing.
• Utilized DynamoDB to centralize and scale pull request status maintenance, facilitating comprehensive tracking of code changes from development to production.

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India · On-site

• Automated client payroll data synchronization, streamlining operations, improving accuracy, and enabling seamless onboarding of new clients with third-party payroll providers.
• Developed POCs with Selenium and Puppeteer to optimize UI automation and ensure reliable workflows.
• Orchestrated the transfer of critical payroll data, significantly boosting operational efficiency and reducing manual errors.
• Gained hands-on expertise in UI automation and data management while working in a fast-paced startup environment.

May 2018 – Nov 2018 · 6 mos · Bangalore Area, India · On-site

• Developed an ML pipeline to classify valid vs. fraudulent companies, enhancing company validation accuracy.
• Created interactive dashboards with drilldowns for tracking fulfillment strategies, facilitating data-driven decisions.
• Automated ETL workflows for data extraction from Jira, improving analytics accessibility and integrity.
• Implemented Celery-based task scheduling for reliable data extraction and ingestion, ensuring smooth operations.