ML Engineer
Resume:
AI-Driven Infrastructure Optimization Specialist
DMS Automations Jan 2025 – Present
Developed intelligent alert systems for data pipelines using behavior-based machine learning patterns. Designed real-time analytics dashboards powered by ML models for executive visibility. Collaborated cross-functionally to introduce AI models in cloud-based infrastructure planning. Assisted in building supervised learning models to strengthen data transmission reliability and early warning systems Youth Tech Educator – Algorithmic Thinking & AI Literacy Loretto Special Science School Jul 2024 – Dec 2024 Mentored teenagers to build AI-powered mobile apps in a tech challenge; won IEEE Education Innovation Award. Designed AI logic flows for student-led educational apps using Python and ML pseudocode. Immersive Intelligence Intern – XR & Data Systems
Imisi 3D, Lagos Jan 2024 – Aug 2024
Facilitated real-time immersive learning using XR and responsive AI algorithms. Enhanced interactive systems using low-latency data flows and lightweight ML inference. Integrated object detection models into educational simulations to support intelligent feedback. Predictive Systems Analyst Intern
GAOTek Inc. (Remote) Sep 2023 – Dec 2023
Engineered and fine-tuned ML models to classify network events and anomalies in transmission data. Applied statistical analysis for anomaly detection and model accuracy improvement. Delivered actionable AI insights to teams through predictive dashboards. Health Data Analyst Intern (Remote) NeoDocto Inc.
May 2023 – Sep 2023
Conducted traffic pattern analysis on behavioral health datasets to identify transmission gaps and improve health alert systems. Delivered intelligent visual layers over public health data to inform critical system-level decisions. Assisted in building supervised learning models to strengthen data transmission reliability and early warning systems.
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MERCY O.
OKEBIORUN
AI/ML Engineer
Professional Objective
Data pipeline optimization, predictive modeling, and intelligent systems integration are areas of expertise for this results-driven AI/ML engineer, who holds a Bachelor of Science in Mathematics. renowned for applying scalable AI-driven solutions in network optimization, immersive learning, and health analytics, as well as for turning unprocessed datasets into actionable insights. Award-winning innovator with expertise in Python, machine learning, data visualization, and cross-disciplinary AI applications. Work Experience
PROJECTS
NLP-Powered Resume Matcher
Developed an NLP model using TF-IDF and cosine similarity to match job descriptions to resumes. Integrated it into a Flask web app and deployed it with Streamlit for interactive use. LINK TO PROJECT Image Classifier Using CNN
Built a deep learning model using Keras/TensorFlow to classify handwritten digits (MNIST dataset). Achieved 98% accuracy and implemented real-time prediction with a simple web interface. LINK TO PROJECT Health Alert Predictor with Behavioral Data
Used logistic regression and KNN to model potential health risks from behavioral datasets. Integrated visual dashboards for alerts based on streaming inputs. LINK TO PROJECT
Smart Network Traffic Analyzer & Optimizer
Smart Network Traffic Analyzer & Optimizer is a Python-based tool designed to monitor and optimize network traffic in real-time. The tool captures, analyzes, and visualizes network data, identifying bottlenecks, congestion, and security threats. It also provides recommendations to improve network performance, making it valuable for network administrators and security professionals. LINK TO PROJECT IEEE Innovation Challenge Winner
Led a teenage team to build a mobile system with embedded AI for academic progress — awarded for technical innovation in Anambra State. Skills Education Contact
Languages: Python, SQL, R
Libraries/Frameworks: Scikit-learn, TensorFlow, Keras, PyTorch, OpenCV
ML Concepts: Supervised/Unsupervised Learning, Regression, Classification, Clustering
NLP: Tokenization, TF-IDF, Word Embeddings, Transformers
(BERT)
Deep Learning: CNNs, RNNs, ANN
Tools: Jupyter, Git, Google Colab, Pandas, NumPy, Matplotlib, Seaborn
Deployment: Flask, Streamlit, AWS Lambda (basic)
Version Control: Git, GitHub
Bachelor of Science, Mathematics (Education)
University of Nigeria.
[Feb/2023]
Certificates
TensorFlow Developer Certificate (In Progress –
2025)
CCNA: Cisco Certified Network Associate (In View
– 2025)
️ [**************@*****.***]
Github
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