Experience
Building production-grade AI systems and empowering communities through education.
Work Experience
Senior AI Engineer / CTO
Infinitgraph.aiRemote
1 year, 4 months
Leading the development of production-scale research intelligence platform with semantic search and conversational AI capabilities.
Key Achievements
- •Built production research intelligence platform processing 100K+ academic abstracts
- •Implemented semantic search with Qdrant vector databases and custom embedding pipelines
- •Engineered conversational AI research assistant using FastAPI with context-aware query processing
- •Deployed scalable MLOps infrastructure on Google Cloud Run with Docker, Redis caching, and automated failover
Technologies
Machine Learning Engineer
Charlotte Machine Learning LabCharlotte, NC
1 year, 11 months
Led end-to-end development of healthcare-focused machine learning systems with deep learning and audio classification.
Key Achievements
- •Developed ML systems using PyTorch and scikit-learn, achieving 89.90% accuracy through ensemble methods
- •Architected scalable ML pipelines using Docker and AWS, processing multimodal sensor data with 88.47% accuracy
- •Implemented domain adaptation techniques and Transformer architectures for audio classification
- •Co-authored peer-reviewed study 'SocialBit: Validation of a Lightweight ML Algorithm for Measuring Social Interactions'
Technologies
Lead Software Engineer
AcileAlgeria
1 year, 3 months
Spearheaded development of marketplace platform connecting brands with retail points of sale.
Key Achievements
- •Built marketplace platform connecting 500+ brands with 30,000 points of sale
- •Led cross-functional team of 5 developers implementing Agile methodologies and CI/CD pipelines
- •Designed scalable microservices architecture resulting in 40% improved performance and 99.9% uptime
Technologies
Research Engineer
Research Centre for Scientific and Technical InformationAlgeria
1 year, 1 month
Developed novel sign language recognition system using WiFi sensing and deep learning for smart home environments.
Key Achievements
- •Developed sign language recognition system using WiFi Channel State Information and deep learning
- •Achieved 99.71% accuracy for word-level recognition in smart home environments
- •Designed CNN+LSTM and ConvLSTM architectures using TensorFlow/Keras
- •Deployed with TensorFlow Serving and demonstrated through web application
Technologies
Education
Master of Science in Artificial Intelligence
University of North Carolina at Charlotte
Charlotte, NC, USA
2022-08 - 2023-12 • GPA: 3.75
Focused on robustness and scalability in AI systems, with emphasis on production-grade ML engineering.
- •Fulbright Scholarship Recipient
- •Specialized in deep learning architectures and large language models
Master of Science in Software Engineering
University of Blida
Blida, Algeria
2018-09 - 2020-09 • GPA: 3.5
Comprehensive software engineering training with focus on system design and architecture.
- •Led technical workshops on ML frameworks and open-source development