FOR RECRUITERS & HIRING MANAGERS
The 60-second version.
I'm Abdulmalik Ajisegiri, a Model Risk & Validation Engineer at DTCC working the AI/ML model-risk lifecycle — SR 11-7 determination, independent validation, LLM evaluation. Before that: embedded avionics R&D at Collins Aerospace (RTX) and cyber risk at Deloitte. M.S. Systems Engineering (OU, 3.7), CISA-certified, based in DFW, TX (Dallas–Fort Worth).
The facts.
BASED
DFW, TX (Dallas–Fort Worth)
CURRENT ROLE
Model Risk & Validation Engineer @ DTCC
CLEARANCE
Held U.S. Secret clearance (Collins / RTX)
CERTIFICATIONS
CISA · MATLAB Certified · Simulink Certified
EDUCATION
M.S. Systems Engineering, OU '26 (3.7) · B.S. Computer Engineering, UT Arlington
COMMUNITIES
NSBE · ISACA
Where I've been.
Click any role to expand. Every claim here is on the resume.
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 and 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 and sensitivity analysis. Requirements traceability and lifecycle verification & validation.
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. Held U.S. Secret clearance.
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.
The work.
Agentic AI Model Risk Management Platform
A personal project: an agentic platform that automates the model-risk identification lifecycle — SR 11-7 classification, validation artifact generation, and pipeline tracking with SLA enforcement and audit trails.
- MACHINE-LEARNING
- RISK-MANAGEMENT
- SOFTWARE-ENGINEERING
- VALIDATION
Clinical Risk Predictive Model — Cardiac Surgery Outcomes
A stacked-ensemble ML pipeline predicting operative mortality in cardiac surgery from preoperative variables, built against STS-aligned outcomes.
- MACHINE-LEARNING
- VALIDATION
- STATISTICS
- RISK-MANAGEMENT
- SOFTWARE-ENGINEERING
QuantEdge Labs
An end-to-end trading research platform — ML-calibrated opportunity scoring, options analytics, and simulation-based verification, shipped as a full-stack web terminal.
- QUANTITATIVE-FINANCE
- MACHINE-LEARNING
- SOFTWARE-ENGINEERING
- WEB-DEVELOPMENT
- RISK-MANAGEMENT
Plus 20 research notes documenting the validation practice in the open — the thinking behind the work, not just the output.
Say hello.
Go on — move your cursor. He'll follow it. On mobile, tap anywhere.
A small reminder that interfaces don't have to sit still: this is a low-poly bust in Three.js, lazy-loaded only when you scroll here, and it politely pauses rendering when you look away. Imagine what I do with real user input.
Let's talk.
Building model risk, validation, or AI governance teams? The fastest way to reach me is email.