Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm William Clarke, a passionate Python engineer specializing in AI/ML engineering, deep learning, and cloud deployment. I have hands-on experience across the full ML lifecycle, including data ingestion, model training, MLOps, and production monitoring. I enjoy working in fast-paced environments and mentoring junior engineers to help build strong, effective teams. Over the years, I have collaborated with various cross-functional teams to deliver AI solutions that impact business outcomes positively. I'm committed to maintaining high-quality standards in coding, testing, and documentation while ensuring transparency, fairness, and compliance in AI systems.…Hi, I'm William Clarke, a passionate Python engineer specializing in AI/ML engineering, deep learning, and cloud deployment. I have hands-on experience across the full ML lifecycle, including data ingestion, model training, MLOps, and production monitoring. I enjoy working in fast-paced environments and mentoring junior engineers to help build strong, effective teams. Over the years, I have collaborated with various cross-functional teams to deliver AI solutions that impact business outcomes positively. I'm committed to maintaining high-quality standards in coding, testing, and documentation while ensuring transparency, fairness, and compliance in AI systems.

William Clarke

AI Engineer, Data Scientist, AI Developer, +2





Hi, I'm William Clarke, a passionate Python engineer specializing in AI/ML engineering, deep learning, and cloud deployment. I have hands-on experience across the full ML lifecycle, including data ingestion, model training, MLOps, and production monitoring. I enjoy working in fast-paced environments and mentoring junior engineers to help build strong, effective teams. Over the years, I have collaborated with various cross-functional teams to deliver AI solutions that impact business outcomes positively. I'm committed to maintaining high-quality standards in coding, testing, and documentation while ensuring transparency, fairness, and compliance in AI systems.…Hi, I'm William Clarke, a passionate Python engineer specializing in AI/ML engineering, deep learning, and cloud deployment. I have hands-on experience across the full ML lifecycle, including data ingestion, model training, MLOps, and production monitoring. I enjoy working in fast-paced environments and mentoring junior engineers to help build strong, effective teams. Over the years, I have collaborated with various cross-functional teams to deliver AI solutions that impact business outcomes positively. I'm committed to maintaining high-quality standards in coding, testing, and documentation while ensuring transparency, fairness, and compliance in AI systems.

Available to hire

Hi, I’m William Clarke, a passionate Python engineer specializing in AI/ML engineering, deep learning, and cloud deployment. I have hands-on experience across the full ML lifecycle, including data ingestion, model training, MLOps, and production monitoring. I enjoy working in fast-paced environments and mentoring junior engineers to help build strong, effective teams.

Over the years, I have collaborated with various cross-functional teams to deliver AI solutions that impact business outcomes positively. I’m committed to maintaining high-quality standards in coding, testing, and documentation while ensuring transparency, fairness, and compliance in AI systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Python AI/ML Engineer at UpStart Commerce

July 31, 2025 - July 22, 2025

Architected and implemented robust data pipelines, training workflows, and CI/CD processes for ML models using Python, Docker, Kubernetes, and cloud platforms. Built automation frameworks to streamline model training and deployment cycles, reducing turnaround time from ideation to production. Collaborated cross-functionally with data engineers, platform teams, pricing, and growth engineering to deliver end‑to‑end ML solutions integrated into UpStart’s headless ecommerce architecture. Developed internal tooling and APIs for interacting with model outputs and influencing key business workflows. Defined and enforced coding standards, documentation, and testing protocols for ML systems, fostering better quality and maintainability. Established monitoring and observability solutions for ML pipelines, including automated alerts for model drift, performance degradation, and runtime anomalies. Researched and implemented explainability techniques to provide transparency and support compli

Deep Learning Engineer at SamCart

June 30, 2023 - July 22, 2025

Built and fine-tuned neural network models (CNNs, RNNs, Transformers) for tasks like user behavior prediction, churn detection, and upsell personalization. Developed custom recommendation systems using collaborative filtering and sequence-based models. Designed end-to-end training and deployment pipelines using MLflow, Airflow, and Docker supporting reproducibility and versioning. Engineered real-time inference services using TensorFlow Serving and Flask APIs, reducing latency and scaling to millions of monthly users. Implemented churn prediction models using LSTM networks to help retention teams target at-risk users. Established model observability with Prometheus and drift detection alerts. Automated training and deployment workflows using MLflow, Docker, and Kubernetes for scalable production ML operations. Integrated deep learning insights into analytics dashboards via custom APIs and data visualizations.

AI Research Scientist at Vision IT

March 31, 2020 - July 22, 2025

Designed and implemented novel deep learning architectures for image classification, entity recognition, and speech-to-text pipelines. Conducted comparative studies of traditional ML models vs. deep learning for structured/unstructured data. Developed language understanding and document classification systems for legal text analysis and compliance automation. Built NLP pipelines for named entity recognition, semantic similarity, document clustering, and topic modeling. Created custom OCR and computer vision models for digitizing handwritten documents using OpenCV and TensorFlow. Deployed early BERT-based techniques for domain-specific intent detection and question answering. Delivered multiple AI/ML prototypes and transitioned successful pilots into production. Executed successful POCs for government and healthcare clients, reducing manual processing time by 40-60%.

Associate Python Engineer at Bridgehead IT

November 30, 2016 - July 22, 2025

Wrote and maintained Python scripts to automate data extraction, file conversions, and system health checks across client infrastructure. Built RESTful APIs and internal tools using Flask for CRUD operations, improving client workflows and reducing manual effort. Developed automation scripts for Linux server tasks, log parsing, and scheduled reporting using Bash and Python subprocess module. Supported CI setup and unit testing for internal tools using PyTest and GitLab pipelines. Participated in requirement gathering and documentation to support healthcare clients' technical needs.

Senior Python AI/ML Engineer at UpStart Commerce

July 31, 2025 - July 22, 2025

Architected and implemented robust data pipelines, training workflows, and CI/CD processes for ML models using Python, Docker, Kubernetes, and cloud platforms. Built automation frameworks to streamline model training and deployment cycles, reducing turnaround time from ideation to production. Collaborated cross-functionally with data engineers, platform teams, pricing, and growth engineering to deliver end-to-end ML solutions integrated into UpStart’s headless ecommerce architecture. Developed internal tooling and APIs for interacting with model outputs and influencing key business workflows. Defined and enforced coding standards, documentation, and testing protocols for ML systems, fostering better quality and maintainability across the team. Established monitoring and observability solutions for ML pipelines, including automated alerts for model drift, performance degradation, and runtime anomalies. Researched and implemented explainability techniques to provide transparency and su

Deep Learning Engineer at SamCart

June 30, 2023 - July 22, 2025

Built and fine-tuned neural network models (CNNs, RNNs, Transformers) for tasks like user behavior prediction, churn detection, and upsell personalization. Developed custom recommendation systems using collaborative filtering and sequence-based models to drive product suggestions and increase average order value. Designed end-to-end training and deployment pipelines using MLflow, Airflow, and Docker, supporting reproducibility and versioning. Engineered real-time inference services using TensorFlow Serving and Flask APIs, reducing latency and scaling to support millions of monthly users. Implemented churn prediction models using LSTM networks, helping the retention team proactively target at-risk users. Established model observability using Prometheus, custom metrics, and drift detection alerts, ensuring stable performance post-deployment. Automated training and deployment workflows using MLflow, Docker, and Kubernetes for repeatable, production-ready ML operations. Integrated deep lea

AI Research Scientist at Vision IT

March 31, 2020 - July 22, 2025

Designed and implemented novel deep learning architectures (CNNs, RNNs, Seq2Seq, and early Transformer variants) for use in image classification, entity recognition, and speech-to-text pipelines. Conducted comparative studies of traditional ML models vs. deep learning approaches for structured/unstructured data processing. Worked on language understanding and document classification systems for large-scale document ingestion, legal text analysis, and compliance automation. Developed NLP pipelines for named entity recognition (NER), semantic similarity, document clustering, and topic modeling using spaCy, NLTK, and Gensim. Built custom OCR + computer vision models for digitizing and extracting data from handwritten documents and forms using OpenCV and TensorFlow. Deployed early BERT and word embedding techniques for domain-specific intent detection and question answering systems. Delivered multiple AI/ML prototypes to internal stakeholders and client teams, transitioning successful pilo

Associate Python Engineer at Bridgehead IT

November 30, 2016 - July 22, 2025

Wrote and maintained Python scripts to automate data extraction, file conversions, and system health checks across client infrastructure. Built RESTful APIs and internal tools using Flask for basic CRUD operations, improving client workflows and reducing manual effort. Developed automation scripts for Linux server tasks, log parsing, and scheduled reporting using Bash and Python’s subprocess module. Supported CI setup and unit testing for internal tools using PyTest and GitLab pipelines. Participated in requirement gathering and documentation sessions to better understand technical needs of healthcare clients.