Portfolio
Minji Kim
Enterprise AI & Automation Consultant @ VIPC · Brumley Graduate Fellow @ Strauss Center
Responsible AI
AI Governance
Data Engineering
AI & Automation
Human-Centered Design
About
About Me
Hello, I am Minji! I work at the intersection of people, technology, and information, dedicated to creating systems and designs that work for people. My focus is on building solutions that promote equitable access to resources, and I work on procuring and deploying technology that is accountable, inclusive, and built for the communities it serves to expand opportunities.
Currently, I am an Enterprise AI & Automation Consultant at VIPC, where I lead AI tool intake and approval and deploy AI agents that automate document generation, validation, and compliance review across divisions. I am also a Brumley Graduate Fellow at the Strauss Center for International Security and Law, researching governance for cross-border federated AI in financial crime detection, and an M.S. in Business Analytics candidate at UT Austin's McCombs School of Business.
Education
MS Business Analytics @ UT Austin McCombs (Expected May 2027)
BS Human-Centered Data Science (GPA: 3.9) @ UT Austin
Minor: Risk Management, Programming & Computation
BS Human-Centered Data Science (GPA: 3.9) @ UT Austin
Minor: Risk Management, Programming & Computation
Current Role
Enterprise AI & Automation Consultant @ Virginia Innovation Partnership Corporation
Graduate Brumley Fellow @ Strauss Center
Graduate Brumley Fellow @ Strauss Center
Interests
Responsible AI · HCI · Accessible & Inclusive Design · Social Justice · Food · Cats
Honors & Involvement
ASPA AI Panelist · NobleReach AI Scholar · Girl Security National Security Fellow · Cyber 9/12 Semi-Finalist
Research & Work
Projects & Publications
AI Systems
AI Governance
Data Analytics
Human-Centered Design
Cybersecurity
Publication
arXiv:2502.14780 ↗
ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting
- Introduced a novel dataset and vision-language model baseline for rewriting visual instructions while preserving user privacy, advancing responsible deployment of multimodal AI.
- Conducted as part of the AI/ML/NLP Labs research experience at UT Austin (Aug 2024 – Sep 2025).
- Supported by the UT Austin Undergraduate Research Fellowship ($7,500 in funding).
Research
Governing Cross-Border Federated AI for Anti-Money Laundering
- Leading comparative analysis of AML information sharing, data protection, and AI oversight requirements across 4+ jurisdictions.
- Designing a federated learning proof-of-concept that benchmarks independent, centralized, and federated AML models to surface governance trade-offs.
- Proposing an interoperable governance framework covering accountability, model auditability, privacy, and regulator access, aligned with financial sector cybersecurity standards in partnership with the Cyber Risk Institute.
Project
Prolific Researcher Commercialization Dashboard
- Built a vector-powered research intelligence platform on AWS processing 200K+ publication records.
- Maps researcher pipelines and identifies commercialization opportunities across Virginia's university and higher education labs.
- Bridges the gap between academic innovation and market pathways for Virginia's startup ecosystem.
Project
Safer City for Pittsburgh
- Analyzed 4,000+ property records with Pandas and Matplotlib to identify property deterioration patterns across Pittsburgh.
- Filled gaps in the original dataset by consolidating 100K+ external records, then validated it for risk modeling.
- Joined property and geospatial data into interactive Power BI maps of deterioration hotspots, presenting mitigation recommendations to the city's Chief Data Officer.
Project
Less Annoying Robo Caller: Multimodal Emotion Recognition
- Designed a multimodal emotion recognition system combining speech audio and ASR-derived text.
- Trained a late-fusion model on 7,400+ audio files, boosting classification accuracy by 30% over unimodal baselines.
- Built a prototype processing live voice inputs to evaluate real-time model performance.
Project
Phish in the Web: ML Phishing Website Detection
- Built a phishing website detector trained on 10,000+ URLs, reaching 98% accuracy after comparing 6+ classification models.
- Narrowed 50 features to 13 to make model decisions explainable and reduce false positives that would block legitimate sites.
- Designed a real-time URL checker that lets non-technical users flag suspicious links before clicking, refined through usability testing.
Curriculum Vitae
Experience & Education
Education
MS Business Analytics
UT Austin · McCombs School of Business
Expected May 2027
BS Human-Centered Data Science · GPA: 3.9
UT Austin · College of Natural Sciences (School of Information)
Minor: Risk Management, Programming & Computation
Minor: Risk Management, Programming & Computation
May 2026
Experience
Enterprise AI & Automation Consultant
Virginia Innovation Partnership Corporation (VIPC) · Richmond, VA
AI tool intake and approval · AI agents across 4+ divisions · JLARC validation agents (20% of workflow automated, 30% faster review)
AI tool intake and approval · AI agents across 4+ divisions · JLARC validation agents (20% of workflow automated, 30% faster review)
Sep 2026 – Present
Graduate Brumley Fellow
Strauss Center for International Security and Law · Austin, TX
Governance of cross-border federated AI for anti-money laundering
Governance of cross-border federated AI for anti-money laundering
Jul 2026 – Present
AI Systems & Transformation Fellow
Virginia Innovation Partnership Corporation (VIPC) · Richmond, VA
Responsible AI and data governance policy · AI governance controls · AWS research intelligence platform · AI chatbot (500+ monthly users)
Responsible AI and data governance policy · AI governance controls · AWS research intelligence platform · AI chatbot (500+ monthly users)
Sep 2025 – Sep 2026
Data Operations & Strategy Analyst
Virginia Innovation Partnership Corporation (VIPC) · Richmond, VA
AI analytics platform tracking 2,000+ companies · legacy system consolidation saving 7,000+ hours annually
AI analytics platform tracking 2,000+ companies · legacy system consolidation saving 7,000+ hours annually
Sep 2025 – Sep 2026
SOC Analyst
UT Regional Security Operations Center · Austin, TX
Mar 2025 – Sep 2025
Data Science Researcher
AI/ML/NLP Labs · Austin, TX
Aug 2024 – Sep 2025
Undergraduate Associate Researcher
UT Austin iSchool Labs · Austin, TX
Sep 2024 – Apr 2025
Cybersecurity Consultant
Texas Cybersecurity Clinic · Austin, TX
NIST-based assessment, security governance policies, and City Council briefing for Devine, TX
NIST-based assessment, security governance policies, and City Council briefing for Devine, TX
Aug 2024 – Sep 2025
Transformation Analyst
LOE Cosmetics · Austin, TX
AI adoption across 3+ divisions · demand forecasting (10% lower inventory costs)
AI adoption across 3+ divisions · demand forecasting (10% lower inventory costs)
Nov 2023 – Aug 2024
Leadership
President · Girls Who Code
Founded UT Austin GWC Mentorship Program · 200+ members · raised $7,500+
Spring 2023 – Fall 2025
President · Informatics Undergraduate Student Council
Mentorship program · interdisciplinary programming across schools
Spring 2023 – Fall 2025
Member · Responsible AI Institute (RAII)
AI governance, policy & risk management · U.S. and EU regulatory contexts
Fall 2025 – Present
Honors & Involvement
AI Panelist
American Society for Public Administration (ASPA) · National webinar panel on responsible AI adoption in rural public service delivery
July 2026
National Security Fellow
Girl Security · National security, emerging technology & AI ethics
October 2025
girlsecurity.org ↗
NobleReach AI Scholar
Technology implementation across public and private partners for mission-driven organizations
August 2025
noblereachfoundation.org ↗
Cyber 9/12 Strategy Challenge · Semi-Finalist
Atlantic Council · 4th (Washington, DC) & 6th (Austin, TX)
February 2025
atlanticcouncil.org ↗
Undergraduate Research Fellowship
University of Texas at Austin · Privacy-preserving on-device VLMs
November 2024
University Honors
University of Texas at Austin
2023
Skills
Programming & Platforms
Python · SQL · R · JavaScript · HTML/CSS · Swift · Git/GitHub · Jupyter · Linux · Docker
Data, BI & Cloud
AWS · Azure · GCP · Snowflake · Apache Spark · Apache Airflow · Elasticsearch · ETL Pipelines · Tableau · Power BI · Apache Superset · APIs · Data Modeling
AI / ML / NLP
PyTorch · TensorFlow · Scikit-learn · Hugging Face Transformers · OpenAI & Anthropic APIs · LLMs · NLP · Gurobi
Governance & Security
Role-based access control · Audit logging · Data validation · NIST Cybersecurity Framework · FATF guidance
Coursework
Courses
iSchool · Completed
Human-Centered Data Science
iSchool · Completed
Research Methods for Informatics
iSchool · Completed
Applied Machine Learning
iSchool · Completed
Deep Learning & Multimodal Systems
iSchool · Completed
Natural Language Processing
iSchool · Completed
User Experience Design
iSchool · Completed
Applied Cybersecurity Foundations
McCombs · In Progress
MS Business Analytics Coursework
Certifications
Google Cybersecurity Professional Certificate
Coursera · 6 modules completed
Hack The Box — OS Fundamentals
Hack The Box
Foodie Diary
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Contact
Let's Connect
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