Resume

Resume of Abdulmalik Ajisegiri: model risk and validation engineer at DTCC; Collins Aerospace, Deloitte; M.S. Systems Engineering, University of Oklahoma.
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Abdulmalik Ajisegiri

Model Risk & Validation Engineer · Dallas–Fort Worth, TX (DFW)
abdulmalikajisegiri@gmail.com · linkedin.com/in/malikajisegiri · github.com/Maleek23

Summary

Model-risk and cybersecurity engineer at DTCC, working across the AI/ML model-risk lifecycle — model identification, SR 11-7 determination, and independent validation of models including LLMs and NLP systems. Previously embedded avionics R&D at Collins Aerospace (DO-178C) and enterprise cyber-risk at Deloitte (NIST CSF, incident response). CISA-certified; Python and SQL.

Technical skills

  • Model risk & validation: SR 11-7 determination/classification, conceptual soundness review, backtesting, sensitivity analysis, benchmarking, challenger models, ongoing monitoring
  • AI/ML evaluation: LLM and NLP evaluation metrics, RAG pipelines, stress-testing, statistical benchmarks
  • Data & tooling: Python (pandas, NumPy, SciPy, scikit-learn), SQL, Power BI
  • Systems & MBSE: Cameo Systems Modeler, MATLAB/Simulink, SysML, requirements traceability, DO-178C verification & validation
  • Embedded: C++, event-driven test harnesses
  • Cyber: NIST CSF, control-gap assessment, incident response

Experience

Model Risk & Validation Engineer — DTCC · Aug 2024 – Present

  • End-to-end model-risk lifecycle for AI/ML and quantitative models: identification, SR 11-7 determination/classification, and independent validation — backtesting, sensitivity analysis, benchmarking, challenger models.
  • Resolved ~40% of pre-deployment issues through structured governance reviews.
  • Built quantitative evaluation frameworks (SQL, Power BI, Python NLP metrics, stress-testing, statistical benchmarks) for production AI/ML (LLMs, RAG pipelines, NLP classifiers), improving review accuracy/completeness ~30%.

Graduate Teaching Assistant, Model-Based Systems Engineering — University of Oklahoma, Gallogly College of Engineering · Aug 2025 – May 2026

  • Led graduate labs for ISE 5893 (MBSE): Cameo Systems Modeler, MATLAB/Simulink, and Python for scenario/sensitivity analysis.
  • Taught requirements traceability and lifecycle verification & validation.

Software Systems R&D Engineer — Collins Aerospace (RTX) · Aug 2023 – Aug 2024 · Secret clearance

  • Built an event-driven C++ test harness simulating 80+ RF command scenarios for embedded avionics, cutting development test cycles ~80%.
  • Applied MBSE (Cameo, MATLAB/Simulink) across 300+ Jama requirements for DO-178C verification and HF frequency-control testing.

Cyber Risk Intern — Deloitte LLP · May 2022 – Aug 2023

  • Control-gap assessments and hardening of 5 REST APIs under NIST CSF.
  • Incident-response planning across 50+ engineers.

Education

  • University of Oklahoma — M.S. Systems Engineering (Advanced Analytics & Model Metaheuristics), May 2026, GPA 3.7/4.0
  • UT Arlington — B.S. Computer Engineering, Minor in Mathematics

Certifications & memberships

  • CISA (ISACA)
  • MATLAB Certified, Simulink Certified
  • Member: NSBE, ISACA

Selected projects

  • Agentic AI Model Risk Management (MRM) Platform — 2026–Present. Automates the model-risk identification lifecycle: SR 11-7 classification, artifact/memo generation, and pipeline tracking with SLA enforcement and audit trail.
  • QuantEdge Labs — Jan 2025–Present. End-to-end trading system with ML-calibrated probability scoring and simulation-based verification across 150+ daily opportunities.
  • Clinical Risk Predictive Model — Cardiac Surgery Outcomes — 2025. Stacked ensemble, R² = 0.81, 20+ preoperative variables.