Building enterprise AI-powered application using Python backend with GraphQL resolvers and async programming.

Designing GraphQL APIs for complex domain models.

Working with Azure cloud-native services.

Engineered backend services in Node.js/TypeScript and Python, leveraging Express, Flask, and FastAPI to build high-performance RESTful APIs and microservices for high-volume data exchanges.

Automated infrastructure provisioning with AWS CDK and CloudFormation, creating reusable constructs that reduced deployment time by 40% and ensured consistency across environments.

Implemented CI/CD pipelines with Jenkins and GitLab, integrating code quality tools

Strengthened platform security with IAM roles and policies, enforcing role-based access control and integrating AWS Secrets Manager and KMS for secure credential management and data encryption.

Enhanced observability by integrating CloudWatch Alarms, Logs, and Splunk dashboards,

Crafted complex SQL queries and stored procedures to support analytics, reporting, and transactional workflows, ensuring high performance and data accuracy across distributed systems.

Led modernization efforts by upgrading Node.js codebases from v12 to v20, increasing test coverage to 91% and maintaining Python services with updated dependencies.

Containerized microservices using Docker and evaluated Kubernetes (EKS) for orchestration and scaling, contributing to cloud-native deployment best practices.

Delivered near real-time analytics using Elasticsearch and Splunk, building advanced queries and Python-powered data pipelines for actionable insights.

Led design reviews and architectural decisions for distributed systems, applying patterns like event-driven architecture, circuit breakers, and eventual consistency to ensure scalability and fault tolerance.

Worked on GenAI initiatives, designing LLM-powered workflows using Bedrock Guardrails, Claude 3.5 Sonnet, and MCP for dynamic orchestration and responsible AI.

Engineered and delivered high-performance backend solutions for diverse client projects, enabling accelerated time-to-market and consistently exceeding client expectations.

Developed Modular and Reusable Backend Solutions, incorporating efficiency and scalability, while producing comprehensive technical documentation to streamline knowledge sharing and future development efforts.

Led Detailed Code Reviews, meticulously analyzing and refining code quality, and collaborated seamlessly with cross-functional teams to meet and surpass ambitious engineering objectives.

Optimized Real-Time Data Querying by expertly indexing complex datasets using Elasticsearch-py and Elasticsearch-dsl libraries, enabling near-instantaneous data retrieval and analysis for improved decision-making processes.

Developed and deployed new applications and modules, utilizing Business Rules, Client Scripts, UI Policies, UI Scripts, UI Actions, UI Pages, Script Includes, and Access Control Lists.

Designed and optimized complex workflows for processes such as Change Management, Service Requests, Contracts, and Futures.

Proficient in working with email notifications, inbound actions, reports, and home pages.

Extensive experience with transform maps, data sources, and transform scripts to manage and load data effectively.

Worked on Dorado, a network management application designed for automated and unified configuration and control of network resources.

Customized templates, schemas, and rules for configuration generation, which were rigorously tested by network engineers.

Provisioned user access and provided debugging support for the application.

Integrated DocuSign API, upgraded scripts from Python 2.6 to 3, and updated the DocuSign API to facilitate document downloads based on the last modified date.