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Senior Full Stack Engineer with 15+ years of building high-concurrency systems for banking and telecom. Reduced loan origination page load times by 57% through microservices redesign and consistently delivers 2–3x faster using AI-assisted development tools and agent creation as per specification. Specializes in React, Node.js, and AWS serverless architectures with a strong focus on performance optimization, scalable system design, and production-ready delivery.



  Principal Solution Architect with 19+ years of experience architecting, modernizing, and delivering enterprise-scale, cloud-native applications on the Microsoft technology stack. Proven expertise in designing scalable, resilient, secure, and high-performance solutions that align technology investments with business objectives across Audit, Tax, Banking, and Financial Services domains.
  Extensive experience in Solution Architecture, Cloud Architecture, Distributed Systems, Enterprise Integration, and Application Modernization using .NET 10, ASP.NET Core, C#, Microsoft Azure, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure SQL, Cosmos DB, Azure Service Bus, Azure Data Factory, REST APIs, gRPC, GraphQL, and Event-Driven Architectures, .NET Aspire and DAPR
  Strong architectural expertise in designing enterprise solutions using Microservices, Domain-Driven Design (DDD), Clean Architecture, CQRS, Vertical Slice Architecture, Event-Driven Architecture, API-First Design, Resiliency Patterns, Distributed Caching, and Cloud Design Patterns, enabling highly available, scalable, and maintainable business-critical applications.
  Passionate about AI-driven software engineering and actively driving the adoption of Generative AI to transform the Software Development Life Cycle (SDLC). Experienced in evaluating and integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Agentic AI workflows, Model Context Protocol (MCP), Azure OpenAI, Azure AI Foundry, Semantic Search, and Vector Search to build intelligent enterprise solutions and enhance engineering productivity.
  Hands-on experience leveraging modern AI-assisted development tools including GitHub Copilot, Claude Code, Cursor, OpenAI Codex, and AI-powered developer workflows for solution design, architecture documentation, code generation, modernization, refactoring, unit testing, code reviews, and developer acceleration.
  Proven ability to define end-to-end solution architectures, evaluate technology trade-offs, produce architecture blueprints, establish engineering standards, and lead modernization initiatives while balancing scalability, security, performance, maintainability, and total cost of ownership (TCO).
  Experienced in designing enterprise integration solutions using REST, gRPC, GraphQL, asynchronous messaging, Azure Service Bus, event-driven communication, and API-first architectures, enabling seamless interoperability across distributed systems and cloud platforms.
  Strong background in performance engineering, including Azure SQL optimization, database design, distributed caching, asynchronous processing, streaming, high-throughput APIs, connection pooling, and application performance tuning for mission-critical enterprise workloads.
  Hands-on experience implementing modern DevSecOps and cloud engineering practices using Azure DevOps, GitHub, GitHub Actions, GitHub Codespaces, CI/CD, Docker, Kubernetes, PowerShell, and Azure CLI, enabling automated deployments, infrastructure consistency, and continuous delivery.
  Recognized for driving engineering excellence through architecture governance, design reviews, technical mentoring, coding standards, cloud adoption, and modernization strategies while fostering innovation, technical leadership, and continuous improvement across cross-functional engineering teams.
  Strong communicator and trusted technology advisor with the ability to collaborate effectively with business stakeholders, product owners, engineering teams, and executive leadership to translate complex business challenges into scalable, future-ready, and AI-enabled technology solutions.


Results-driven Application Developer with 3+ years of experience in designing and maintaining enterprise applications using Java and Python. Developed scalable microservices and RESTful APIs in Agile environments, enhancing backend solutions and implementing JUnit and pytest for improved code quality. Experienced in data analysis with Python, transforming complex datasets into actionable insights while collaborating with cross-functional teams to drive operational efficiency and support business decisions.

Motivated and detail-oriented QA Automation Engineer with more than a year of hands-on experience in international, cross-functional teams. Skilled in both manual and automated testing, with a strong background in designing and executing test cases. Experienced in leveraging Azure DevOps to build and manage CI/CD pipelines, contributing to more efficient software releases and faster deployment cycles. Adept at UI, API, and UX testing, and proficient in using SQL for backend data validation, leading to improved issue detection. Passionate about adopting AI-driven solutions to enhance testing workflows and elevate software quality.

Lauren Glaser

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Application Engineer

Software Systems Engineer Intern

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Bachelor of Science - Computer Science And Mathematics

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Application Engineer

Software Systems Engineer Intern

Bachelor of Science - Computer Science And Mathematics

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