Hi, I'm Neil
I am an experienced Senior Machine Learning Engineer at Climate where I help build recommender systems and predictive models for farmers. My expertise lies in data engineering, model training and deployment, AI explainability, model monitoring, CI/CD and MLOps. I am also an experienced mentor to early career Data Scientists, Research Scientists and Software Engineers.
- Programming Languages: Python (
pandas,numpy,matplotlib,scikit-learn, PySpark), R (dplyr,ggplot2,tidyverse), SQL, bash. - Machine Learning: Supervised Learning (Linear Models, Tree-based Models), Unsupervised Learning (Clustering, PCA).
- Deep Learning: Neural Networks and CNNs (TensorFlow Probability, Keras, PyTorch), Natural Language Processing (NLTK, Gensim, LDA), SHAP ML explainability.
Frameworks
- AWS: s3, EC2, ECR, SageMaker, IAM
- GCP: GCS, BigQuery, Compute Engine, GKE, Vertex AI
- Data Engineering: Apache Spark, Airflow, postgres, GraphQL
- MLOps/DevOps: GitLab CI/CD, Docker, DataDog, Artifactory, GitHub Actions, MLFlow, Pydantic, FastAPI.
- Product Management: JIRA, Confluence, Miro, Azure Dev Ops
- Testing/Code Quality:
pytest,black, SonarQube