• Utilized Python and React framework to build infrastructure and user interaction platform from scratch to support internal analysis for the Unified Power Frequency Model, developed the application for users to input parameters, select scenarios, and trigger analysis, processed user input, manage data, and initiate simulations and computations using the UPFM model

• Supported MI300 Performance analysis, supported visualization of GFX target and PMLog’s

frequency, power, and other factors, improved the accuracy and efficiency of the analysis process

using python

• Conducted the technical analysis for the Security Compliance issue for the existing web applications, researched Docker Containers and PaaS (Platform as a Service) and presented the options and recommendation to isolate and containerize the apps, and successfully implemented the deployment solution via Cloud Foundry

• Utilized .NET framework and C# to build internal source control management system and supported the website functionalities

• Worked on a migration effort for a static code analysis tool which enables engineers and security teams to find and fix software defects

• Introduced package management tools to the projects to automate the process of installing, upgrading, and configuring software dependencies in a consistent manner and to prevent software mismatches

• Researched independently and pathfinding to implement Bootstrap and Intel branding for .Net web applications and normalizing the UI for a consistent experience using JavaScript and CSS

• Managed the backlog of customer requests including defects, enhancements, questions through a ticketing system, troubleshooted and fixed the issues using C# and managed the customers’ expectation through customer engagement

• Managed the Software Quality through Test Management Framework using JIRA Zephyr Scale.

• Created a website that can identify domain specific keywords using React, Flask and Django framework

• Built a search engine that queries keyword information from the arXiv data and analyzes similarities between two keywords, speed up the analyzing process by 50% by introducing word2vec neural network model in Python

• Created a Neo4j graph database to store similarity score between two keywords using Cypher query

• Hold office hours, help students with their homework and programming problems

• Staff in lab sessions, conduct instructions on related topics