Working as a Graduate Teaching Assistant in Masters level CS course - Tech & Equity, studying how practices in technology development affect accessibility, promotes equality, and impacts usability.

• Worked on a physics-based Deep Neural Network for generative modelling to design new GaN devices with a 70% success rate.• Designed a proprietary object-oriented Python3 library capable of running, visualizing and comparing 10 testbench simulations per minute.• Cross-compatible with various simulator models, including LTSpice, PSpice, SIMetrix.• Created a parameter extractor that used characterization data for existing legacy devices to extract mathematical data for behavioral devices.

• Lead Developer for a US regulatory project: Transparency in Coverage (TiC), leveraging Azure Data Lake, Azure Functions, Azure DevOps Enterprise, Azure Data Factory, and Databricks (Scala Spark)• Developed a fully-automated framework for scheduled jobs, app deployments, and smooth product deliveries to external clients for TiC.• Optimized the Engine Design Architecture and Data Model, achieving an 84% reduction in running time from approximately 7 hours to 1 hour 10 minutes, allowing adherence to a very tight turnaround time for TiC client deliveries.• Designed a 100% Test Coverage testing script for TiC development validation.• Engineered a proprietary Data Quality Framework from the ground up, leveraging Python, PySpark, PostgreSQL.• Developed the integrated Grafana-based Dashboard for the DQ Framework, enabling real-time monitoring for business teams.• Collaborated in a cross-functional PoC to assess the viability of utilizing Unity Catalog for Metastore catalog data operations.• Earned 10x Bravos for performance, dedication, collaboration and quality of work.

• Built a modular config-driven Python3 program VASC: Vulnerability Analysis for Secure Connections for pulling Ciphersuite configurations in establishing SSL/TLS connections.• Identifies weaknesses and vulnerabilities based on given parameters & produces customized and formatted output.• Cross-compatible with an automated flagging system through the machine-readable XML output.