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Professional Experience
Jan 2025 – Aug 2025
  • •Currently building the core data flow pipeline for Maestro, the flagship product, enabling customers to integrate and transform hundreds of gigabytes of data seamlessly
  • •Integrated support for large-scale data movement across GCS, AWS, and Azure
  • •Employed Maven for project builds and Kubernetes/K9s for container orchestration
  • •Collaborated on Delta Lake implementation using Databricks to enhance data reliability and performance
  • •Managed databases with PostgreSQL; performed API testing with Postman and unit testing with JUnit
  • •Built robust integration tests for cloud interactions using Mockito, LocalStack, and WireMock
    • Sep 2023 – Dec 2023
  • •Developed and enhanced features of the Recollective qualitative research platform using JavaScript, jQuery, Vue.js, JSP, and Java, including end-to-end development of key platform functionalities such as Sort and Rank, video interviews, polls, and questionnaires
  • •Implemented keyboard accessibility programming for client-facing areas of the platform to allow individuals with physical disabilities or visual impairments to access the application and recieved positive reviews from clients
  • •Actively participated in code reviews within an Agile environment to uphold coding standards and best practices
  • •Utilized Git for version control and collaborative development, ensuring efficient code management
  • •Tested and implemented process improvements, including enhancing information security procedures
  • •Contributed to vulnerability assessments and penetration testing for applications and services
  • •Assisted in analyzing and revising Information Security processes
  • •Created various scripts for user creation, user database management, asset inventory management, and automated the onboarding process for new hires, reducing the total time by 50% using PowerShell
  • •Deployed the company image and set up software on various models of computers
    • Projects
  • •Developed a full stack web-based translation tool using a React frontend and a Python Flask backend
  • •Integrated OpenAI's GPT-3.5 for language translation
  • •Designed a modern, accessible and adaptive user interface with CSS
  • •Up to 20% more accurate than Google Translate when translating large blocks of text, especially in situations where processing the context is an important step in proper translation
  • •Added support for all 10 languages that OpenAI supports
    • Education
  • •Relevant Coursework: Systems Programming, Data Structures & Algorithms, Web Applications, Software Engineering, Cryptography and Authentication, Operating Systems
    • Skills

    Languages: Python, Java, C, C++, JavaScript, TypeScript, HTML, CSS, XML, Bootstrap, JSON, SQL, PHP, Bash

    Tools/Applications: Git, UNIX/Linux, Confluence, Android Studio, Visual Studio, Kubernetes, Docker, JIRA, AWS, Azure, Jenkins, Maven, Gradle, Springboot, Apache Spark, GitHub Actions, Artifactory, WSL, New Relic, DataDog

    Frameworks/Libraries: Node.js, Vue.js, Express.js, React, Angular, jQuery, MongoDB, Firebase, SQLite, Flask