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Education
BS, Computer Science, Minor in Mathematics, University of Illinois at Chicago, Honors College, Dean's List, GPA 3.90/4.00
January 2022 – December 2024

Relevant Coursework: Intro to AI, Intro to ML, Principles of Concurrent Prog, Intro to High Performance Comp, Distributed Objects For Cloud Comp, Distributed Comp Systems (Grad), Applied Microeconomics II (Grad), Micromachining Technology.

Work Experience
University of Illinois at Chicago, Research (Intel/Nvidia Accelerators and LLMs)
August 2024 – present
  • •Developing LLM-based automated pipeline for CUDA/SYCL code generation with self-correction capabilities.
  • •Managing Deep learning and LLM orchestration on Intel MAX 1550 Data Center GPU Clusters at EVL
    • University of Illinois at Chicago, Research (Variational Autoencoders, PyTorch)
    May 2024 – present
  • •Developing 3 Dimensional Variational Autoencoders for anomaly detection in Electron Energy Loss Spectroscopy data.
  • •Automating subsurface material analysis by reducing anomaly discovery time and improving accuracy.
    • Ashling Partners, Applied AI Research Intern (Big Data Pipelines, Azure, Faster RCNNs)
    June 2024 – August 2024
  • •Shipped an active learning computer vision pipeline for P&ID diagram digitization on Azure, achieving 87% accuracy.
  • •Built an extensible LLM-powered Agent framework for intelligent document processing with modular feature integration.
  • •Trained high-accuracy production (>90%) ensemble demand forecasting models for apparel industries.
    • EY (Ernst & Young), Technology Risk Intern
    June 2022 – August 2022
  • •Managed large financial data pipelines, ensuring data integrity and identifying failure points in financial systems.
  • •Conducted comprehensive compliance and stress tests on financial data infrastructure to meet regulatory requirements.
  • •Prepared SOC reports and risk assessments, delivering executive summaries.
    • BestComp Group, Technical Project Manager
    October 2021 – December 2021
  • •Led a team of 4 to enhance the exam suite with Optical Mark Recognition, grading 6,000 exams/hour at 99.83% accuracy.
  • •Leveraged agile practices, ensured code quality, and implemented CI/CD, eliminating faulty deployments.
    • Projects & Awards
  • •Spearheaded the creation of "Gather," a full-stack web app designed to simplify planning events with friends, family.
  • •Engineered "Gather" with a serverless architecture on Cloudflare Workers, leveraging Hono for a light-speed backend, Puppeteer for dynamic event scraping, and Llama2 for data processing, culminating in personalized outing suggestions.
  • •Created "Policeman Thief Game," a simulation designed to explore decision-making in a networked game environment.
  • •Integrated Akka for microservices, Postman for API calls, gRPC for communication, achieving dynamic gameplay management and scalable cloud deployment on AWS EC2, later upgrading to Serverless Lambda functions.
  • •Developed an application in Scala with Hadoop (MapReduce) for distributed comparison of directed graphs using Jaccard similarity, achieving 93% accuracy in identifying differences within minutes for graphs exceeding 10,000,000 nodes.
  • •Deployed on AWS EMR with Logback and ScalaTest integration; improved efficiency with distributed cache optimization.
    • Skills & Interests

    Technical Skills: Python, C/C++, Java, Scala, Functional Programming, AWS, AzureML, Apache Hadoop, Spark, MongoDB, SQL, OpenMP/MPI, CUDA Toolkit, Deep Learning (Transformers, Autoencoders), PyTorch, Microservices, Docker, REST APIs.

    Interests: Science fiction movies, Neural Networks, Ramjet engines, Swimming, Landscape photography, Poker, LEGOs