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Professional Experience

Software Engineer I

Microsoft Fabric · OneLake Catalog

February 2026 – Present | Full Time

Microsoft Fabric is a large-scale distributed analytics platform. On the OneLake Catalog team, I help build production experiences serving hundreds of thousands of users across complex data and metadata workflows.

Core Contributions

  • Build production software across product interfaces, APIs, and data workflows using React, Angular, TypeScript, Signals, and RxJS.
  • Design resilient data workflows with pagination, caching, retry strategies, and throttling mitigation.
  • Use spec-driven, AI-assisted development workflows across implementation, testing, debugging, documentation, and review.
React Angular 19+ TypeScript RxJS Signals Playwright SQL KQL Azure A11y

Software Engineer Intern

Microsoft Fabric

December 2024 – February 2026 | 80% Position

Microsoft Fabric is a large-scale distributed analytics platform. My work supported experiences serving hundreds of thousands of users across complex metadata and data workflows.

Core Contributions

  • Built scalable frontend features using Angular (v19+), TypeScript, Angular Signals, and RxJS. Delivered performant, maintainable experiences for hundreds of thousands of users across critical Fabric subsystems including schema management, metadata visualization, and sub-artifact flows.
  • Engineered and optimized complex UI components, rewriting parts of legacy architecture to improve maintainability, readability, and system health while ensuring UI elements meet accessibility standards (A11y).
  • Designed resilient distributed data-fetching flows, implementing robust client-side mechanisms such as:
    • Multi-stage pagination
    • Throttling mitigation and adaptive request strategies
    • Retry logic with exponential backoff
    • Intelligent caching to reduce redundant API calls
    • State-driven workflow actions using centralized store patterns
  • These improvements reduced fetch errors, improved reliability, and created a smoother interaction model for large-scale metadata and schema operations.

API & Data Layer Work

  • Integrated deeply with internal Fabric APIs, synchronizing UI state with backend systems powering Lakehouse, Warehouse, and OneLake Catalog.
  • Collaborated with backend teams to diagnose issues, understand API shape, request flows, permissions, and schema propagation.
  • Used SQL, KQL, Fabric Notebooks, Pipelines, and Lakehouse tables to perform large-scale data validation, debug operational defects, analyze bottlenecks, and support investigation flows across distributed components.

Quality, Testing & Reliability

  • Own E2E automation using Playwright across multiple Fabric experiences.
  • Designed reliability scenarios, accessibility tests, and regression coverage to reduce operational noise and minimize customer-facing issues.
  • Participated in code reviews, architectural discussions, and technical design reviews focusing on clarity, maintainability, and reliability.

AI Engineering & Productivity

  • Leveraged AI engineering tools (Copilot, Cline, Roo, Cursor-style agents) to accelerate development, reduce boilerplate, automate repetitive tasks, and improve iteration speed.
  • Proposed new internal workflows for optimizing development velocity, improving team-wide coding consistency, and reducing friction in iteration cycles.
Recognition: Acknowledged by Microsoft Fabric leadership for technical maturity, initiative, ownership, and cross-team collaboration. Demonstrated consistency by delivering high-impact work while balancing internship, university studies, and military reserve duty.
Angular 19+ TypeScript RxJS Signals Playwright SQL KQL Azure A11y

Software Engineering Intern (Android)

Shutterfly Inc.

2023 – 2024 | Student Position + Full Time (Transition)

Shutterfly is a large-scale, customer-facing mobile platform with a substantial production user base.

Core Contributions

  • Developed core Android product features using Kotlin, Jetpack components, and MVVM/MVI architectures.
  • Improved UI responsiveness and background processing using Kotlin Coroutines, reducing latency and boosting user experience in image-heavy flows.
  • Implemented offline-first behavior and persistent local storage using Room DB, ensuring consistent application behavior during network inconsistencies.
  • Collaborated with backend engineers and product teams to refine user flows, error handling, and performance tuning.
Kotlin Android Jetpack Compose MVVM Coroutines Room DB Material Design 3

Software Engineering Student (DevOps + SWE)

Intel Corporation - HCP Windows

2022 – 2023 | Student Position

Intel HCP Windows team builds internal automation and CI/CD frameworks used across multiple engineering units.

Core Contributions

  • Developed Python-based microservices using Flask, improving internal system response times and enabling better orchestration across distributed automation pipelines.
  • Built and maintained CI/CD flows using GitHub Actions and Azure Runbooks, automating deployments, monitoring, and operational tasks.
  • Collaborated with cross-functional teams to improve reliability and ensure internal development processes met required performance and stability thresholds.
Python Flask GitHub Actions Azure PowerShell SQL DevOps
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