# Shaad Quazi > Full Stack Engineer at Scanbuy | Rutgers ’23 Location: New York City Metropolitan Area, United States Profile: https://flows.cv/shaad Hello! I’m a Software Engineer with a master’s degree in Computer Science from Rutgers University. With four plus years of hands-on experience in software development, I specialize in full-stack development, object-oriented design, and designing scalable systems. My expertise spans a variety of technologies, including AWS, Azure, NoSQL, JavaScript, SQL, Java, React, Python, Flask, and .NET Core. Currently, I work at Scanbuy as a Full Stack Software Engineer, where I develop solutions to automate data exports and advance QR code art generation technology. I focus on creating scalable systems to enhance performance and improve user experiences. Previously at Arcadis, I contributed to the platforms team, developing a document management system that addressed challenges related to storage costs, accountability, and GDPR compliance. During my time at Rutgers University, I served as an MSCS Programmer, enhancing the student management portal to streamline operations and boost system efficiency. At Persistent Systems, I was part of the Financial Services team, where I helped modernize legacy systems by designing efficient RESTful endpoints and optimizing database performance, significantly reducing response times. Through these positions, I’ve gained valuable industry experience, deepened my understanding of scalable architecture, and honed my ability to deliver impactful solutions. I’m always seeking new challenges and opportunities to apply my skills. Feel free to connect if you’re interested in collaborating or learning more about how I can contribute to your team! ## Work Experience ### Full Stack Software Engineer @ Scanbuy Jan 2023 – Present | New York, New York, United States • Designed a proof-of-concept for a QR code AI art generation service using Stable Diffusion and ControlNet model, resulting in an 85% scan success rate. • Architected and implemented a generic service leveraging AWS SQS, Step Functions, and Knex.js for Redshift queries, reducing data export time by 98% and streamlining the process by eliminating manual intervention. • Implemented a robust functional testing framework utilizing Mocha and Node.js, significantly improving bug detection and system tests. • Created custom Airbyte connectors for HTTP API sources and MongoDB/DocumentDB, automating data ingestion into Redshift, eliminating manual imports, and reducing data transfer costs from cloud storage. ### Full Stack Software Engineer Intern @ Scanbuy Jan 2023 – Jan 2023 | New York, New York, United States • Coded a serverless Node.js service with DynamoDB to automate Apple and Google Wallet pass creation and distribution, significantly boosting user adoption. • Designed a distributed link checker service to monitor URL health across target regions, improving link reliability. • Engineered multiple AWS Lambda functions using Node.js and DynamoDB, optimizing data storage and access patterns improving client read times. ### Software Programmer @ Rutgers University–New Brunswick Jan 2021 – Jan 2023 | New Brunswick, New Jersey, United States • Streamlined and enhanced a web portal for the MSCS department using Java, JavaScript, and SQL to maintain student records and plans, reducing queries by 15% and increasing organizational productivity. • Facilitated the revamp of camera controls for a 3D virtual environment in Three.js as part of a large-scale data visualization research project. ### Software Engineering Intern @ Arcadis Jan 2022 – Jan 2022 | Fair Lawn, New Jersey, United States • Implemented, tested, and deployed document management microservices using Azure Functions, Azure Storage, and Cosmos DB in an Agile environment. • Created and executed unit test plans with XUnit.NET, increasing overall code coverage by 40%. • Introduced and implemented React and MUI components for the file explorer workflow using React DnD. ### Software Engineer @ Persistent Systems Jan 2019 – Jan 2021 | India • Designed and built RESTful API endpoints as part of a migration from a legacy codebase to .NET Core, reducing server response time from 450ms to 45ms. • Managed full-stack development tasks for a PDF reporting infrastructure using .NET Core, Microsoft SQL Server, Less, and ReactJS. • Enhanced and optimized stored procedures in Microsoft SQL Server, improving legacy code performance and reducing response time by 25%. ### Project Trainee @ Tata Consultancy Services Jan 2018 – Jan 2019 | India • Developed scripts using Python, NumPy, and pandas for the Enterprise Application Services team to identify customer value through predictive algorithms like RFM analysis, increasing customer response rates by 15%. • Designed and built a job scheduler using Flask, Bootstrap, PostgreSQL, and APScheduler to automate manual data transfers from Excel/Databases to third-party planning software, significantly improving data modelers' productivity and reducing data transfer time from 16 hours to 1 hour per week. ## Education ### Master of Science - MS in Computer Science Rutgers University–New Brunswick ### Bachelor of Engineering (B.E.) in Computer Science and Engineering Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur ## Contact & Social - LinkedIn: https://linkedin.com/in/shaadquazi - Website: https://github.com/shaadquazi --- Source: https://flows.cv/shaad JSON Resume: https://flows.cv/shaad/resume.json Last updated: 2026-04-05