Cris Lovell-Smith-Head of AI
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Experience
Head of AI
Harvest Hub
- Leading AI development for aquaculture startup, optimising shellfish visual assessments with machine learning and computer vision.
- Development and systematic evaluation of ML/CV algorithms for shellfish condition and morphometrics, using Python, Pytorch and MLFlow.
- Analysis of model performance, including identification of failure modes and edge cases in production deployments.
- Design of annotation strategies and refinement of labelled datasets for computer vision tasks.
- Detailed analysis of system performance and communication of findings through publication-quality technical reports to investors and fellow R&D staff.
- Responsible for delivery of technical roadmap.
AI and CV Specialist (Freelance)
Continental Automotive
- Feature development for production ADAS head light assist (HLA) algorithm.
- Consulting on neural network architectures for object detection for HLA function for next generation product.
- Development and evaluation of production grade CV/ML algorithms in C/C++.
- Analysis of model performance in safety-critical systems, including identification of edge cases and failure scenarios.
Head of AI
Nelson AI Institute
- AI research and technical leadership.
- Developed and evaluated deep learning models for classification, segmentation, and object detection, deployed in the cloud and on mobile devices.
- Honorary Research Associate at the Victoria University of Wellington, NZ.
- Technical supervision of two Masters students in AI with topics in semantic segmentation and large language models.
- Model optimisation, benchmarking, and deployment using ONNX to Android.
- Product definition, refinement, and AI proof-of-concept development.
- Collaboration with scientific and industry partners, academics, internal teams, and boards of directors.
- Development and evaluation of deep learning models in classification, semantic segmentation, and object detection (FasterRCNN, SSD, Yolo, U-Net, DeepLabv3) using Tensorflow/Keras with MLFlow for experiment tracking.
- Development of segmentation models for remote sensing application using satellite imagery, and aerial LIDAR and imagery.
- ML Paper Club: weekly research and presentations of SOTA ML papers, e.g., ViTs.
- Design of training and validation datasets, and data preprocessing and augmentation pipelines to improve model robustness and generalisation.
Research and Development Engineer
Denso ADAS/ADASens Automotive
- Concept and development of in-house deep learning framework including custom single stage object detector for embedded platforms in MISRA C.
- Development of DL/CV based collision warning system.
- Concept, implementation, and validation of patented lens obstruction algorithms.
- Evaluation and benchmarking of deep learning based 3D monocular depth estimation algorithms.
- Enhancements to 3D structure from motion technology for assisted parking.
- Design and implementation of validation framework used across multiple projects within department.
- Systematic evaluation of ADAS function performance, including error analysis and robustness improvements under real-world conditions, in multiple projects.
Research Scientist
University Medical Centre, Freiburg Germany
- Motion correction research in MRI using vision based patient pose estimation system.
- Design and implementation of algorithms in MATLAB and C++ on Siemens MRI scanners to reduce motion artifacts.
- Development of patented MRI system calibration algorithms, and other novel approaches to calibrating patient/MRI coordinate systems using multiple modalities.
- Attendance and oral and poster presentations at MRI research conferences.
- Co-authored research papers in the field.
- Worked with a startup formed to commercialise research.
Masters Student
Applied Research Associates NZ
- Design, implementation, and evaluation of novel 6-DoF optical pose estimation system, including hardware design and implementation of firmware for real-time camera module.
- Technical communication of system design and performance through thesis and management level slides to company stakeholders and Masters supervisors.
Industry Experience
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Experienced in Information Technology, Automotive, Healthcare, Agriculture, Food and Beverage, and Aerospace and Defense.
Business Area Experience
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Experienced in Research and Development, Product Development, and Quality Assurance.
Summary
I am an AI and Computer Vision Engineer with 25 years of software experience and 10 years experience developing, evaluating, and deploying computer vision and machine learning systems from research to series production. I have deep expertise in object detection, classification, segmentation, and visual understanding algorithms. I also have extensive experience analysing model performance, identifying failure modes, and improving robustness in real-world applications. I have proven my ability to communicate complex technical concepts clearly through detailed analysis and reporting. In particular, I have worked in the push towards autonomous vehicles in the automotive industry, bringing new technologies to the aquaculture industry and in improving MRI quality in healthcare. I am a freelancer living in Germany, working primarily remotely.
Skills
Ai Engineering
- Object Detection
- Segmentation
- Classification
- 3d Monocular Depth Estimation
- Self Supervised Learning
- Genai - Llms
- Model Evaluation
- Failure Analysis
Libraries/Frameworks
- Pytorch
- Tensorflow/Keras
- Mlflow
- Huggingface
- Onnx
- Opencv
- Numpy
- Ollama
- Haystack
Programming Languages
- Python
- Flutter/Dart
- Modern C++
- C
Tools/Platforms
- Aws
- Gcp
- Git
- Atlassian
- Cmake
- Linux
- Cvat
Languages
Education
University of Canterbury
Master of Electrical and Electronic Engineering · Electrical and Electronic Engineering · Christchurch, New Zealand
University of Canterbury
Bachelor of Electrical and Electronic Engineering with Honors · Electrical and Electronic Engineering · Christchurch, New Zealand
Certifications & licenses
Deep Learning Specialisation
DeepLearning.AI
Machine Learning
Stanford Online
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
Frequently asked questions
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