Abdulmalik Ajisegiri is a 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. He is CISA-certified and works primarily in Python and SQL.
Before DTCC, he did embedded avionics R&D at Collins Aerospace (RTX), building an event-driven C++ test harness for RF command scenarios and MBSE verification across 300+ requirements under DO-178C. Earlier, he worked in enterprise cyber-risk at Deloitte (NIST CSF, incident response), and he was a graduate teaching assistant for Model-Based Systems Engineering at the University of Oklahoma.
His sharpest focus is model risk and validation: interrogating a model's conceptual soundness before the numbers are run, stress-testing it against scenarios designed to break it, and monitoring it for decay once it is live. His research notes document that practice in the open.
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). Built quantitative evaluation frameworks (SQL, Power BI, Python NLP metrics, stress-testing, statistical benchmarks) for production AI/ML systems including LLMs, RAG pipelines, and NLP classifiers.
- Graduate Teaching Assistant, Model-Based Systems Engineering, University of Oklahoma — Aug 2025 – May 2026. Led graduate labs for ISE 5893 (MBSE): Cameo Systems Modeler, MATLAB/Simulink, and Python for scenario/sensitivity analysis; requirements traceability and lifecycle V&V.
- Software Systems R&D Engineer, Collins Aerospace (RTX) — Aug 2023 – Aug 2024. Event-driven C++ test harness simulating 80+ RF command scenarios for embedded avionics, cutting development test cycles ~80%. 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, hardening of 5 REST APIs (NIST CSF), and 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
Technical focus areas
Requirements, architecture, verification and validation across the lifecycle.
Conceptual soundness, backtesting, stress testing, and ongoing monitoring.
ML model validation, governance for AI systems, reproducible machine learning.
SysML modeling, requirements traceability, model-based verification.
Outside of work
Fitness, and photography and filmmaking under the Leekshotit brand — a different kind of systems thinking, with light instead of models.