Ejiga.AI

Ejiga Peter Ojonugwa

AI/ML Researcher & Engineer

WHS Specialist | Data/DevOps Engineer | Cybersecurity | Specialized in Generative AI, Large Language Models & Computer Vision.

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Ejiga Peter

About Me

Professional Summary

I'm a passionate AI/ML researcher with a hands-on, high-energy approach and well-developed skills in Machine Learning, Computer Vision, Agile, and an unapologetically user-focused philosophy. Currently pursuing my MSc in Advanced Computing at Morgan State University, I combine technical expertise with innovative solutions.

My research focuses on medical image synthesis, text-to-image generation, and computer vision applications in healthcare. I've published research on AI-powered medical imaging and have experience implementing cutting-edge models like Stable Diffusion and CLIP.

With 5+ years of development experience and expertise in DevOps and cloud infrastructure, I bridge the gap between research and implementation, ensuring AI solutions are robust, scalable, and production-ready.

Education & Certifications

MSc in Advanced Computing Aug. 2023-Dec. 2024

Morgan State University, Baltimore, MD

B.Tech in Computer Science (First Class) Dec. 2015-Feb. 2020

Federal University of Technology, Minna, Nigeria

ND Computer Science 2012-2014

Kogi State Polytechnic Lokoja, Nigeria

Certifications:

  • Certified AWS AI Practioner
  • Certified AWS AI Early Adopter
  • Verified International Academic Qualifications
  • Data Visualization Using Intermediate Tableau
  • Jobberman Accelerated Soft Skills Course
  • Problem Solving (Advanced)
  • Huawei Certified Network Administrator (HCNA)
  • Intel AI Scholarship for Artificial Intelligence
  • AWS AI & ML Scholarship Recipient

Technical Skills

AI & Machine Learning

Vertex AI 90%
Generative AI Studio 85%
Large Language Models 85%
Computer Vision 90%
PyTorch / TensorFlow 85%

Cloud & DevOps

AWS Cloud Services 95%
CI/CD Pipelines 90%
Infrastructure as Code 85%
MLOps 85%
Docker & Kubernetes 80%

Technologies & Tools

Python Vertex AI LLMs PyTorch TensorFlow Generative AI Stable Diffusion AWS Jenkins Git Linux Cybersecurity HTML/CSS JavaScript SQL Tableau
View More on GitHub

Research Publications

Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth+ LoRA

2025

OOE Peter, MM Rahman, F Khalifa

arXiv preprint arXiv:2502.20667

View Paper

Advancing AI-powered medical image synthesis: insights from MEDVQA-GI challenge using clip, fine-tuned stable diffusion, and dream-booth+ LoRA

2024

E Ojonugwa, M Rahman, F Khalifa

CEUR workshop proceedings

View Paper

Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation

2025

OO Ejiga Peter, OT Adeniran, AMG John-Otumu, F Khalifa, MM Rahman

Algorithms 18 (3), 155

View Paper

Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer's Disease Detection

2025

A Opeyemi Taiwo, O Blessing, A Temitope Ezekiel

Algorithms for Computer Aided Diagnosis, 2nd Edition, 163

View Paper
View Google Scholar Profile

Get In Touch

Contact Information

Location

Baltimore, Maryland, USA

Email

ejigsonpeter@gmail.com

Phone

+2348136777465

Connect with me

Professional Experience

Research Assistant Morgan State University Computer Vision Lab Feb. 2024 – Dec. 2024
  • Developed Transformer models for image caption detection and generation, advancing AI capabilities in visual understanding and description
  • Fine-tuned Stable Diffusion, a large language model, for text-to-image synthesis on colonoscopy data
  • Implemented and optimized deep learning models for medical image analysis, focusing on gastrointestinal imagery
  • Achieved high Inception and FID scores, indicating superior quality of synthesized images
  • Published research at the CLEF conference in Grenoble, France
Graduate Research Assistant Experiment-Centered Pedagogy Lab Sept. 2023 – Jan. 2024
  • Instructed 44 students in digital electronics experiments using PCB boards, enhancing hands-on learning
  • Implemented innovative teaching methods in electronics education, focusing on practical, experiment-centered pedagogy
  • Analyzed student feedback using BERT, revealing 75% positive and 20% neutral sentiments towards the teaching approach
  • Published findings at the ASEE conference in Portland, Oregon
DevOps Engineer Cloud Evo LLC Aug. 2022 – Aug. 2023
  • Built and managed CI/CD pipelines using Jenkins and AWS Code Pipeline
  • Implemented Source Code Management using Git and Subversion
  • Provisioned AWS services with efficient billing in mind
  • Utilized automation and integration tools to streamline development processes
Software Engineer Project Lead Archaeotech Solutions Ltd Mar. 2019 – Nov. 2022

Built custom software to meet specific client needs while prioritizing client satisfaction. Led development teams, managed project timelines, and ensured quality deliverables.

Safety Specialist AJE BIG BOTTLING COMPANY Jan. 2021 – Jan. 2022
  • Conducted daily, weekly, and monthly safety audits to identify compliance issues and improvement opportunities
  • Provided oversight for fire prevention, hazardous waste management, and other safety-related activities
  • Delivered technical guidance for large-scale safety initiatives in workplace environments
  • Performed safety training as required by the safety manager

Projects

Microservices Architecture
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Microservices Architecture

Designed and implemented a scalable microservices architecture on AWS ECS with automated CI/CD pipeline.

AWS ECS Docker CI/CD
Medical Image Synthesis
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Medical Image Synthesis

AI-powered medical image synthesis using diffusion models and LoRA fine-tuning for enhanced healthcare diagnostics.

PyTorch Diffusion Models LoRA Healthcare AI
Automated Backup Solution
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Automated Backup Solution

Created an automated backup and disaster recovery solution using AWS S3 and Lambda with monitoring.

AWS S3 Lambda Python
Polyp Segmentation
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Polyp Segmentation

Automated polyp segmentation through integrated detection and mask generation using advanced deep learning.

Computer Vision Medical Imaging Deep Learning PyTorch
Monitoring Dashboard
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Monitoring Dashboard

Developed a custom monitoring dashboard using CloudWatch and Grafana for real-time infrastructure insights.

CloudWatch Grafana Monitoring DevOps
AI-Powered Colonoscopy Analysis
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AI-Powered Colonoscopy Analysis

Text-to-image synthesis for colonoscopy analysis using generative AI for intelligent data augmentation.

Generative AI Medical Imaging Data Augmentation Healthcare