Leading DevOps modernization for PayPal's infrastructure services team, building AI-powered CI/CD pipelines and automation across a multi-tech-stack monorepo.

Key contributions:

Architected Harness CI/CD pipelines (migrated from Jenkins) for Java, Python, Node.js, and Go services — reducing pipeline execution time by 35%

Leveraged Harness AI to auto-detect failures and surface anomaly alerts, cutting MTTR by 40%

Designed multi-stage pipelines: Build → Security Scan (Semgrep, Aqua Trivy) → Docker push via Kaniko → environment promotion across dev, staging, and production

Built GitHub Actions workflows for PR validation, Docker image tagging (Git SHA), and deployment YAML automation

Developed custom engineering dashboards with Harness telemetry, deployment frequency, and DORA metrics for real-time leadership visibility

Implemented AI-assisted anomaly detection correlating deployment changes against historical failure patterns

Enforced zero-downtime Kubernetes rolling updates and Harness canary deployment strategies

Technologies: Harness CI/CD, GitHub Actions, Docker, Kubernetes, Kaniko, Semgrep, Aqua Trivy, Java, Python, Node.js, Go, AWS, Kafka

Designed and implemented scalable, secure, high-performance applications for MetLife's enterprise insurance platform across Java, Spring Boot, and React stacks.

Key contributions:

Built an AI-powered customer chatbot using a custom LLM integration that allowed policyholders to instantly access policy details, claims status, and support information replacing a manual process and significantly reducing customer response times

Developed Spring Boot microservices on AWS Lambda for event-driven insurance workflows, improving scalability and reducing infrastructure costs

Integrated AI-driven data validation and anomaly detection into ETL pipelines using custom ML model endpoints, improving data quality for actuarial and compliance reporting

Built RESTful APIs using JAX-RS processing millions of insurance policy events per day for real-time analytics

Led migration of legacy JBoss monolith to Spring Boot and Node.js microservices, enabling independent deployments and improving team velocity

Designed event-driven streaming architectures using Apache Kafka and JMS for real-time data pipelines across insurance product lines

Built responsive React SPAs with Redux for MetLife agent and customer-facing portals

Implemented CI/CD pipelines with Docker and Jenkins, reducing release cycles from weekly to daily

Secured microservices using Spring Security and OAuth 2.0

Technologies: Java 8, Spring Boot, React, Redux, AWS Lambda, Docker, Kubernetes, Kafka, Cassandra, PostgreSQL, Jenkins, OAuth 2.0, Custom LLM

Built RESTful services, APIs, and MuleSoft integrations for Compass Group USA's food and support services platform, supporting education, healthcare, business, and entertainment sectors.

Key contributions:

Led MuleSoft platform upgrade from Mule 3 to Mule 4 across 400+ integration APIs, managing the full migration lifecycle including connector updates, error handling refactoring, and regression testing

Designed and maintained MuleSoft APIs handling large-scale file transfers between 400+ source and destination servers using SFTP, FTP, and S3 connectors

Built a centralized file transfer monitoring application tracking source and destination status across all 400+ MuleSoft jobs in real time, automatically detecting failures and notifying the team via email alerts

Implemented file-level encryption and decryption workflows using PGP and AES standards, managing certificate and key lifecycle and handling key expiry rotations

Provided L1, L2, and L3 production support for MuleSoft integrations, resolving file transfer failures, connectivity timeouts, authentication errors, and key expiry incidents within SLA windows

Implemented RESTful microservices in Spring Boot using Domain-Driven Design and 12-factor methodology

Developed React.js and Node.js SPAs with TypeScript using component-based architecture

Secured APIs using OAuth 2.0 and deployed microservices on Pivotal Cloud Foundry with auto-scaling

Worked with MongoDB and Cassandra for NoSQL data storage

Technologies: Java 8, Spring Boot, MuleSoft Anypoint Platform, Mule 3, Mule 4, React, Node.js, TypeScript, AWS, MongoDB, Cassandra, PCF, OAuth 2.0, PGP, AES

Developed scalable and high-performance web applications for India's leading social commerce platform, implementing CI/CD processes for smooth automated deployments.

Key contributions:

Designed and maintained Spring Boot microservices for product catalog, order management, and reseller commission services hosted on Pivotal Cloud Foundry

Developed REST APIs using Spring MVC with comprehensive error handling for high-traffic e-commerce workloads

Built a multi-rack Cassandra cluster for high-availability distributed data storage

Implemented Kafka and JMS-based notification pipelines for order status, payment, and system health alerts

Optimized Oracle SQL queries using execution plans and indexing strategies for high-performance data access

Configured Hibernate ORM for object-relational mapping with optimized database connection pooling

Worked in Agile Scrum environment with daily standups, sprint planning, and retrospectives

Created automated validation services with JASPER reporting for data accuracy

Technologies: Java, Spring Boot, Spring MVC, Hibernate, Cassandra, Oracle, Apache Kafka, JMS, PCF, REST APIs, JUnit, Mockito