Machine Learning
& Systems Engineer
Dr. Oluwaseyi Babalola is a Machine Learning and Systems Engineer based in the United States specializing in AI-driven modeling, signal processing, time-series analysis, wireless communications, and reliable engineering systems.
I build data-driven models and computational pipelines that transform noisy, complex data into deployable insights for research, industry, and intelligent systems.
Industry-ready research profile
Ph.D. in Electronic Engineering with 8+ years across machine learning, signal processing, data modeling, teaching, and networked systems.
What I do
I combine Ph.D.-level research depth with practical engineering execution for AI, data science, and systems-focused roles.
Machine Learning & Data Science
Classification, prediction, anomaly detection, probabilistic modeling, feature engineering, and time-series analysis with Python-based workflows.
Signal Processing & AI Systems
Low-SNR signal detection, HMM/HsMM sequence models, sensor-driven inference, and robust model validation for noisy real-world data.
Systems Engineering
Simulation modeling, performance evaluation, networked systems, cybersecurity fundamentals, and scalable engineering problem-solving.
Selected experience
Subject Matter Expert — AI Systems Evaluation, Mercor.io
Evaluate AI-generated outputs across engineering domains, identify model reasoning failures, and support improvements in reliability, robustness, and interpretability.
Postdoctoral Researcher / Lecturer & Researcher
Developed machine learning and signal processing models for detection, classification, wireless localization, and complex time-series inference using MATLAB and Python.
Systems & Network Engineering
Supported enterprise networking, routing, switching, VPNs, firewall concepts, monitoring, troubleshooting, and infrastructure reliability.
Let’s connect
I am open to machine learning, data science, AI systems, scientific computing, and systems engineering opportunities in the United States.