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AI Governance & Model Risk in Regulated Industries | Multi-Agent Systems · LangGraph · RAG | Speaker
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The University of Texas at Dallas
Data Analyst
June 30, 2026 – Present
EvoLens
April 22, 2026 – Present
Evaluation instrument for the Calibration pillar of AI model validation. Computes BLEU, ROUGE, BERTScore, and Perplexity with integrated MRM pedagogy.
View ProjectAuditHive
April 12, 2026 – Present
AI governance platform with policy enforcement, gap detection, examiner simulation, and regulatory impact assessment.
View Projecteu-ai-act-scanner
March 3, 2026 – Present
Rule-based EU AI Act compliance scanner. Classifies AI systems by risk level, determines provider/deployer role, and generates gap reports. 109 tests, zero LLM cost.
View ProjectProductionProof
February 17, 2026 – Present
AI-powered production readiness documentation generator. Creates ADRs, risk assessments, and test coverage analysis from project descriptions.
View ProjectPolicyLens
February 14, 2026 – Present
AI risk assessment engine that operationalizes NIST AI 100-1, FHFA AB 2022-02, and SR 11-7 into structured governance assessments with gap analysis for financial services institutions.
View ProjectcreditNLP-v2
January 30, 2026 – Present
DPO alignment for LLM output format control - fixing parseability without losing accuracy
View Projectmcp_banking_workflows
December 24, 2025 – Present
MCP server with 10 tools for banking model risk management: SR 11-7 compliance, SAS parameter extraction, model version comparison, and cross-file validation
View ProjectCreditNLP
December 24, 2025 – Present
Domain-specific LLM fine-tuning with LoRA for credit risk narrative classification using Mistral-7B
View Projectportfolio-rag-agent
October 1, 2025 – October 1, 2025
Zero-hallucination RAG agent for portfolio projects using custom LangChain implementation
View Projectnetwork-iq
August 15, 2025 – September 3, 2025
Telco Network IQ — PySpark CSV→Parquet pipeline + Streamlit EDA (filters, cell vs network, delta, hotspots, anomalies, incident export).
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on AI/ML, data analysis, and regulatory compliance, particularly within the financial services domain. This specialization aligns well with roles requiring deep expertise in these areas. However, the lack of diverse project types outside of AI/ML and governance might indicate a narrower range of interests or experience, which could impact cultural fit in broader data analyst roles not specifically focused on AI/ML or regulatory compliance. The target role 'Data Analyst' is broad, and the candidate's profile leans heavily towards AI/ML and governance, which might be a mismatch if the role is more generalist.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and an ability to tackle complex, domain-specific challenges, particularly in AI governance and financial risk management. The focus on 'zero-hallucination RAG agent' and 'fixing parseability without losing accuracy' suggests attention to detail and practical application. However, without direct assessment data, specific soft skills like teamwork, communication clarity, or stress handling cannot be objectively evaluated.