Ronan Keaveney Email & Phone Number

London, GB

Raleigh, North Carolina, US

Integrating Zelta AI solution into Pendo Listen

New York, New York, US

• Built RAG chatbot where customers can have a conversation with their customer feedback
• Rebuilt customer insight classifier service, cutting LLM costs by 70% while boosting performance
• Built integrations to get customer feedback data from Zendesk, MS Teams & Intercom

Shannon, Clare, IE

• Developed a data augmentation algorithm, successfully expanding our training set size by over 10x, leading to boosts in radar perception model's accuracy and robustness.
• Built an internal web application using Django, streamlining the process of dataset management, augmentation and model training, resulting in a 30% boost in throughput for the AI/ML team.
• Iteratively trained and refined perception models, focusing on the accurate detection and classification of cars, pedestrians, cyclists and road signs based on radar signatures.

Limerick, Munster, IE

For my master’s project, I developed a computer vision solution for detecting and predicting the trajectories of pedestrians from a 2D video from a car’s on-board camera. Used YOLOv7 and TensorFlow libraries in Python.

Koto-ku, Toyosu, Tokyo, JP

Wilmington, MA, US

Master Of Engineering - Meng, Electronic & Computer Engineering

Electronic & Computer Engineering

Bachelor Of Engineering - Be, Electronic & Computer Engineering

Bachelor Of Engineering - Be, Engineering