Tarek Haydar

Design and deploy LLM-powered agentic systems end-to-end with LangChain and LangGraph for enterprise clients. Architect Agentic Operation Centers and scalable AI systems from scratch to customer-ready deployment.

Diagnosed and resolved cross-system software and imaging issues. Led a 3-person technical support team and managed all update testing prior to deployment.

Automated scripting workflows with VBS/VBA, cutting processing time from 30 minutes to 5 minutes. Resolved alarms and faults across telecom sites.

Pursuing a diploma in Artificial Intelligence and Data Science, covering data cleaning, feature engineering, ML models, neural networks, and hyperparameter tuning.

Earned a Bachelor of Engineering in Telecommunications Engineering, ABET accredited.

Completed the Machine Learning Specialization on Coursera, covering supervised and unsupervised learning, neural networks, and gradient descent.

Completed the LangChain for LLM Application Development course, focusing on building production LLM applications with LangChain.

Completed the Convolutional Neural Networks course on Coursera, covering CNN architectures, YOLO, R-CNN, and object detection.