United States
Senior Software Engineer with 8+ years of experience building and operating scalable, cloud-native systems across quality engineering, DevOps, and reliability engineering for SaaS platforms. My work sits at the intersection of software delivery, infrastructure, and intelligent automation, ensuring systems are reliable, cost-efficient, and production-ready. I have hands-on experience designing CI/CD pipelines, validating and operating containerized and Kubernetes-based environments, and enabling end-to-end quality across web, mobile, API, and cloud infrastructure layers. I focus on shifting quality and reliability left—using automation, observability, and data-driven practices to reduce operational risk and improve release velocity. I actively work with AI-driven automation and AI agents, applying them to AIOps use cases such as intelligent test orchestration, failure analysis, alert noise reduction, and infrastructure validation. My technical skill set includes Python,Java, JavaScript, Selenium, Appium, JMeter, Jenkins, AWS, Azure, Kubernetes, Helm, SQL, and scripting, along with a Master’s degree in Computer Engineering. I also hold AWS Solutions Architect Associate and Microsoft AI Fundamentals certifications. Beyond technology, I’m passionate about finance, investing, and portfolio diversification, and I enjoy exploring how AI, automation, and cloud economics shape both enterprise systems and long-term financial decision-making. I thrive in high-ownership environments, enjoy collaborating across engineering and product teams, and continuously seek to learn and apply emerging technologies.
• Leading AI validation and QA initiatives for enterprise LLM platforms, ensuring usability, reliability, and governance-aligned quality across cloud environments • Integrated test suites with GitHub Actions, Jenkins, and Azure DevOps pipelines to achieve continuous testing. Collaborated cross-functionally and managed product backlog, prioritization, and delivery planning. • Built a Python-based automation framework from scratch for API and UI testing using Python (Pytest), API, Selenium, and Requests libraries, significantly improving test coverage and reducing manual effort. • Integrated AI-Driven solutions like RAG and Langchain to enhance test efficiency, enabling faster regression and faster root cause analysis, which improved process accuracy and reduced manual effort. • Developed an AI-powered PR reviewer agent (Copilot-based) to accelerate code reviews, reducing PR review cycle time by ~50% and easing reviewer workload across sprints an increasing deliverables by 30%. • Implemented risk-based validation strategies, including hallucination detection, bias evaluation, and guardrail testing for LLM deployments. • Owned and optimized CI/CD pipelines for regression testing using GitHub Actions, proactively resolving dependency issues and stabilizing CI failures across development and QA teams, significantly improving reliability and release confidence
Lead Test Engineer for the MicroStrategy Cloud Offerings. Develop test plans, automation, and test cases for the upcoming features related to the cloud. • Developed python based test framework to validate the end-to-end deployment of the MicroStrategy platform for AWS, Azure, and Kubernetes containers. • Created and maintained testing Infrastructure as code using AWS CloudFormation. • Integrated StepFunction workflow with CI/CD pipeline to run automated tests that alerted on failure via SNS. • Implemented frontend UI tests using Selenium and for backend end API tests using Postman, python, bash scripts, YAML, and cloud services. • Owned the sanity, manual, functional, regression, integration, and performance testing for HyperNow SaaS microservices. • Led a team of three to complete testing for the MicroStrategy Capacity Testing Tool, providing performance testing involving cross-team collaboration with executives and architects for the MicroStrategy World 2020 conference. • Reduced cloud cost by $30k per month by optimizing resource usage across various divisions in the organization. • Directly consulted with the customers to assist them with enterprise deployment and upgrades
1. Developed automation framework for new MicroStrategy SaaS offering (MicroStrategy Cloud Intelligence) using Kubernetes commands, Python, Git, AWS Lambda, Step Function and Cloud Formation which also covers per-build. Additional test cases added to the automation and solely responsible for certifying, testing and managing testing for all the features implemented by the team. Working with stakeholders across the organization to improve quality for the SaaS offering 2. Developed an update automation testing infrastructure framework using kubernetes, S3, WS Lambda, Step Function which test each customer environment after each environment is upgraded to latest build to so that customers have seamless experience utilizing MicroStrategy product for their analytical needs in less than 2 hrs. 3. Leading testing for End to End, functional, integration, performance validation for company’s microservices product deployment using Docker and Amazon Elastic Kubernetes Service(EKS) and working with Product Owners, Product Mangers and stakeholders to maintain quality integrity for new product offering. 4. Delivered testing automation by using Python and AWS Lambda to validate the all the packages and services are installed in Linux to be used for template creation for all enterprise cloud deployments in Linux. 6. Lead a team of three to complete testing for the MicroStrategy Capacity Testing Tool, providing end-to-end testing for sizing, upgrade validation, and working with PM, PO and Architect and delivered it to customers for MicroStrategy World 2020 7. Report product/customer Defects and User Stories and work with the Product Managers and Product Owners on prioritizing issues in the product roadmap and test product with customer focus. 8.Automated installation of enterprise analytics software for testing using shell script thus reducing time by 60% for testers across organization per build release to test enterprise software application for web, mobile, library, platforms.
Greenstand is striving to create a platform that allows people to take ownership of planting trees, with the goal to provide an ecologically beneficial source of income for low income people and allow donors and organizers to sponsor and track planting and reforestation efforts. My role is help develop CI/CD pipelines using Ansible so that code releases go smoothly, analyzing data for improvements and optimization.
• Developing and designing website using programming languages such as HTML 5, CSS3 & JavaScript supported on SharePoint based on requirement gathering from various departments within the organization to help Solutions Engineers nationwide to help win the Enterprise business. • Collaborate with team members and gather requirements from multiple teams to create clean interfaces and simple, intuitive interactions and experiences • Developing test methodology and testing the in-house technical solutions to be used to by National Sales Teams in an agile environment.