Brandon S. Copeland - AI Engineer & Machine Learning Specialist
AI Engineer with 3+ years of experience designing enterprise-scale AI solutions using AWS cloud infrastructure. Skilled in NLP, computer vision, and foundation models, with proven leadership in technical teams and community engagement.
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Technical Expertise
Machine Learning & AI
TensorFlow, PyTorch, Keras, Scikit-learn, BERT, Transformers, NLP, Computer Vision, Predictive Analytics, Foundation Models, Transfer Learning, Fine-tuning
Cloud & Infrastructure
AWS (SageMaker, Bedrock, Lambda, ECS, EC2, S3, Lex, Comprehend, CloudWatch), Docker, Kubernetes, CI/CD pipelines, Terraform
Data Engineering
Python, SQL, Pandas, NumPy, PySpark, ETL/ELT, Data Validation, PostgreSQL, DynamoDB, ElasticSearch
Professional Experience
1
HubinIT | AI Engineer Intern & Intern Team Lead
July 2024 - April 2025
  • Architected multi-layered AI Employee platform using AWS Fargate, Bedrock, and Comprehend.
  • Built AI Ethics & Compliance Platform with regulatory intelligence capabilities.
2
Amideast Jordan | English Instructor
October 2024 - Present
  • Created specialized English curriculum focused on technical communication for professionals and university-level students.
  • Delivered comprehensive English instruction emphasizing the development of reading, writing, listening, and speaking abilities.
3
Omdena | Machine Learning Engineer
February 2022 - April 2024
  • Engineered emotion detection system for conversational AI using transformer architecture, resulting in 20% increase in user satisfaction scores.
  • Led cross-functional teams to streamline AI solution delivery processes.
  • Created fake news detection systems through implementation of BERT-based models with XGBoost ensembling.
  • Executed end-to-end ML project development from data collection to deployment for 5+ real-world applications.
4
Al Hussein Technical University | English Lecturer
February 2018 - May 2024
  • Designed technology-enhanced language learning curriculum for university-level courses, incorporating data analytics to track student language acquisition progress.
  • Delivered comprehensive English instruction emphasizing the development of reading, writing, listening, and speaking abilities for technical university students.
AI Platform Architecture at HubinIT
Infrastructure Design
Implemented serverless microservices on AWS Fargate with containerized components, ensuring secure data encryption and IAM role-based access controls.
AI Integration
Integrated AI capabilities including Textract document processing, Comprehend sentiment analysis, and SageMaker forecasting to enable complex business workflow automation.
Knowledge Retrieval Systems
Data Storage
Implemented DynamoDB for structured data and OpenSearch for unstructured content
Retrieval Engine
Built with AWS Kendra for semantic search capabilities across multiple data sources
AI Response
Context-aware responses across financial forecasting, legal analysis, and customer support domains
Omdena Projects Portfolio
87%
Fake News Detection
Accuracy using BERT and XGBoost for political disinformation detection
92%
Medical Imaging
Accuracy in CNN-based cancer detection system
85%
Emotion Detection
Accuracy in therapeutic conversation agent with multilingual support
Leadership Experience
HubinIT Intern Team Lead
  • Directed team of 7 AI engineering interns
  • Established code review processes
  • Improved development velocity by 20%
Omdena Jordan Chapter Lead
  • Led community of 100+ AI practitioners
  • Engaged in numerous AI/ML initiatives
  • Directed cross-functional teams as product owner to implement data-driven solutions for mitigating traffic-related injuries and deaths in Amman
Led the design and implementation of the Enterprise AI Assistant Platform at HubinIT
Financial Forecasting
Specialized analysis with AWS Bedrock foundation models
Legal Compliance
Document processing with AWS Textract and Comprehend
Sales Analytics
Multi-intent conversational system with AWS Lex
Customer Service
Domain-specific knowledge retrieval enhancing response accuracy
Teaching Experience
Al Hussein Technical University
Designed technology-enhanced language learning curriculum for university-level courses, incorporating data analytics to track student language acquisition progress.
Amideast Jordan
Implemented data-driven assessment methodologies, tracking student progress through quantifiable metrics for business English curriculum.
Education & Contact
Education
  • BSc Applied Artificial Intelligence (Expected 2026)
  • MSc Computer Science (2022)
  • BA Islamic Studies (2017)
Contact Information
Phone: +962 (0)79 830 8323
GitHub: bcopeland64
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