Kareem Elaasar

M.S. in Software Engineering (Emphasis in AI/Machine Learning)

Sep 2024 - Present

GPA: 3.8

University of California, Irvine, Irvine, CA

B.Sc. in Computer Science

Aug 2020 - May 2024

Cal Poly Pomona, Pomona, CA

Relevant coursework: Software Engineering, Artificial Intelligence, Machine Learning, Computer Networking, Systems Programming, Data Structures & Algorithms, Object-Oriented Programming

NASA Jet Propulsion Laboratory

Jun 2025 - Sep 2025

AI Developer Intern, La Cañada Flintridge, CA

• Developed a web app for system engineers to upload and search engineering documents (Excel, PDF) with LLM
• Built a RAG pipeline in Python for context-aware chunking of documents to optimize search results
• App was packaged in Docker, deployed in Amazon GovCloud, and used to support concurrent engineering sessions
• Automated data extraction from documents with NLP and reduced retrieval time from 15+ mins to <10 seconds per query

Jan 2024 - Sep 2024

Software Engineering Intern, La Cañada Flintridge, CA

• Developed a Python app to convert documents to knowledge graphs using OpenAI API and Langchain to process, chunk text, and generate RDF triples
• Calculated similarity scores between text chunks using SentenceTransformer deep learning model for semantic search
• Loaded RDF triples to GraphDB and Neo4j databases and annotated using prompts
• Reduced query response time by 70% and improved search accuracy from 60% to 85% across 300+ technical documents

University of California, Irvine

Sep 2024 - Jan 2026

Graduate Research and Teaching Assistant, Irvine, CA

• Trained a deep learning model to invert OpenAI embeddings using adversarial techniques
• Generated custom dataset of text-embeddings pairs and trained model for recovering text from embeddings
• Optimized training parameters to achieve ~80% accuracy with Rouge, BLEU, and other metrics

Modelware Solutions, RAISE Lab

Jan 2024 - July 2024

Software Engineer - Part Time, Los Angeles, CA

• Created a web app called UML Lab that helps system engineers create and visualize UML diagrams using prompts
• Frontend built with React.js hosted on Node.js, Firebase deployed on AWS for 50+ active users
• Integrated OpenAI Assistant API and PlantUML to generate diagrams with 90% accuracy based on natural language input
• Reduced diagram creation time from 30+ minutes of manual work to under 10 seconds with automated generation

Institute of Applied AI, Concordia University

Jun 2023 - Aug 2023

Research Intern, Montreal, QC

• Designed a web app to help systems engineers validate and check the quality of requirement datasets using LLM analysis
• Integrated OpenAI API to automatically assess consistency, clarity, and completeness of 500+ software requirements
• Built using Flask and MySQL for backend, and React.js for frontend, processing requirements in real-time
• Reduced requirement validation time from 2 hours to 15 minutes per dataset, improving review efficiency by 87%

Kaiser Permanente

Jun 2022 - Aug 2022

Jun 2023 - Aug 2023

Software Engineering Intern, Pasadena, CA

• Developed an Extract-Transform-Load (ETL) pipeline to integrate enterprise datasets and produce summarized reports
• Created a CI/CD script to run the pipeline whenever the datasets change in a DevOps fashion
• Used Python with openpyxl and pandas libraries to develop the ETL pipeline
• Learned to interact with stakeholders, such as project sponsors, customers, and users in an agile project using Jira
• Improved efficiency of report creation by 100% over manual methods

Team Award at Jet Propulsion Laboratory (JPL)

Sep 2024

Won a Team Award for the development of an interactive tool and other technologies using LLMs to extract models from documents.