Andrea Lukas

• Currently contributing to an AI-driven solution that automates 3D building code compliance checks—accelerating housing permit approvals and modernizing city planning processes. • Developed core backend logic for an intelligent compliance engine using Autodesk APIs and AI models • Designed spatial reasoning workflows to identify code violations in 3D architectural data

• Researched LLMs, fine-tuning models on 50+ cognitive datasets using NVIDIA 4060 GPUs, improving performance by 25% • Designed and executed 100+ behavioral tasks, generating 1,000+ prompts to assess AI decision-making and risk analysis • Developed benchmarks for AI-human comparison, increasing evaluation accuracy by 15% • Optimized training by 30% through GPU-based hyperparameter tuning, preparing findings for an AI conference

Project Manager

• Overseen the management of UTech to optimize operations and enhance data science consulting services for a diverse community consisting of over 45,000 students and faculty • Led weekly strategic meetings, driving team alignment, and strengthening collaborations with key partners like UCSF, Berkeley Lab, and CZ BioHub, contributing to a 20% growth in interdisciplinary project support. • Streamlined the hiring and onboarding process, developing comprehensive training programs that reduced new hire onboarding time by 30% and improved overall team cohesion

• Collaborated with LLNL to develop MolFormer and Multi MolFormer models and trained TorchMD Net models for electrolyt design • Automated and standardized the workflow for generating and optimizing machine learning force fields (MLFF) for atomistic simulations. • Communicated results and demonstrated workflow features to LLNL scientists, developing Python scripts to automate MLFF training

- Facilitated a Data Science Summer Program: Led a team of 3-4 Tuskegee University students in data science case studies, enhancing their data science principles and techniques. - Curriculum Development: Designed a curriculum component for future Data 6 courses using research datasets from various fields, projected to benefit over 200 students annually. - Project Supervision and Technical Support: Supervised data science projects, developed worksheets, and provided Python debugging assistance.

• Spearheaded the creation of a web-based roster system, significantly improving communication and logistics management for over 500 directors and clients. • Led UX research initiatives and implemented frontend optimizations that resulted in a 20% faster audition process, facilitating a more efficient and organized experience for users. • Developed and deployed enhancements that transformed the auditioning platform into a central hub for audition management, streamlining operations and significantly enhancing user satisfaction.

• Led the development of ArcGIS emergency dashboards to respond to public health challenges with Esri • Obtained hands-on experience with ArcGIS applying data-driven solutions to real-world public health concerns • Encouraged peers and faculty to utilize the real-time emergency alert dashboard that we implemented

• Primary support for 40k students through troubleshooting wired, wireless, and VPN connectivity problems on a variety of devices, resolving both software and hardware-related problems, security incidents including virus/malware removal, etc • Technical & customer service/communication development while empowering students in technology • Training STCs in computer hardware, software troubleshooting, and ensuring that they meet their clients needs in a timely and courteous manner by providing training, support, and guidance

Relevant Coursework: - Systems & Software CS 61C – Computer Architecture CS 61B – Data Structures CS 61A – Structure & Interpretation of Computer Programs CS 198-750 – Full Stack Development CS 160 – AI User Interface Design & Development CS 161 – Computer Security * CS 194 – Special Topics (Advanced Systems) * - Machine Learning & Data Science CS 189 – Machine Learning CS/DS 182 – Designing, Visualizing & Understanding Deep Neural Networks Data 101 – Data Engineering Data 100 – Principles & Techniques of Data Science Data 140 – Probability Theory for Data Science Data 144 – Data Mining & Analytics CS 70 – Discrete Mathematics & Probability Theory CS 198-126 – Deep Learning for Computer Vision - Interdisciplinary & Applied Studies PBHLTH 188 – Fung Fellowship Seminar DEMOG 110 – Introduction to Population Analysis * (* = In Progress)