{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Software Engineering Co-op","company":"United Electronic Industries","location":"Norwood, MA","range":"2026 – Present","url":"https://www.ueidaq.com/"},"html":"<ul>\n<li>Building a <strong>pytest</strong>-based regression framework in Python for <strong>UEI</strong>’s <strong>data acquisition (DAQ)</strong> <strong>Cube</strong> and <strong>Rack</strong> chassis and I/O boards.</li>\n<li>On track to achieve a goal of <strong>55% of layers/devices</strong> covered by the framework by end of 2026.</li>\n<li>Replaced static device configuration with <strong>automated discovery over the network</strong>, cutting setup time and manual configuration errors.\n<ul>\n<li>Supports multiple <strong>Rack</strong> and <strong>Cube</strong> systems on the same VLAN.</li>\n</ul>\n</li>\n<li>Developing automated tests for <strong>CAN</strong>, <strong>analog and digital I/O</strong>, and <strong>MIL-STD-1553</strong> layers.</li>\n<li>Improving the <strong>Python API</strong> by porting lower-level <strong>C++</strong> documentation and aligning behavior with the shared C++ API across all high-level languages.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Teaching Assistant","company":"Khoury College of Computer Sciences, Northeastern University","location":"Boston, MA","range":"September 2025 – Present","url":"https://www.khoury.northeastern.edu/"},"html":"<ul>\n<li>Teaching Assistant for CY 2550 — Introduction to Cybersecurity (200+ students)</li>\n<li>Supported instruction through office hours and the class discussion forum</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Hardware Interface Development Co-op","company":"E Ink Corporation","location":"Billerica, MA","range":"January – August 2025","url":"https://www.eink.com/"},"html":"<h4>Automated Visual Inspection System</h4>\n<p>Quality control system for high-volume E Ink panel inspection: catching defects and consistency issues before panels ship.</p>\n<ul>\n<li>Python-based capture and analysis of camera and lighting measurements</li>\n<li>PowerShell and Python scripts for offline installations (no network access on the factory floor)</li>\n<li>Prevented unauthorized modifications to the codebase by implementing a hashing system to verify code integrity. Git and other version control systems were not available.</li>\n<li>Implemented a GUI for technicians to easily view and analyze inspection results using PyQt6</li>\n</ul>\n<h5>Image processing and analysis</h5>\n<ul>\n<li>Flat-field correction for uneven lighting</li>\n<li>Color reference adjustment using a linear regression model to match known color measurements</li>\n<li>ArUco marker detection for panel isolation and orientation using OpenCV</li>\n<li>QR code detection for panel identification</li>\n</ul>\n<h5>Results</h5>\n<ul>\n<li>Cost-effective inspection at scale across 150+ colors per panel</li>\n<li>Relative accuracy: ~1.8 dE (smallest human-perceivable unit of color difference) vs. E Ink’s high-accuracy reference measurements</li>\n</ul>\n<h4>Lab instrument integration</h4>\n<ul>\n<li>Wrote Python interfaces for spectrometers and other lab instruments</li>\n</ul>"}}]}}}