Open to opportunities

Alex Connor

@alexconnor

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Seasoned machine learning engineer specializing in generative AI.

Germany

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful projects and mentor others.

With over 8 years of experience as a machine learning engineer, I have honed my expertise in generative AI and natural language processing. My journey has taken me through significant roles at companies like Sky, Scoutbee, and Contentful, where I developed and deployed advanced AI models that drive substantial business value. At Sky, I designed generative AI features that improved user engagement metrics by 15% and integrated a ChatGPT-based virtual assistant, reducing support ticket volume by 30%.

My technical skills include proficiency in Python, PyTorch, and transformer-based architectures. I have a proven track record of optimizing machine learning pipelines and mentoring teams on best practices for model development and MLOps. My collaborative approach ensures that AI initiatives align with user needs and business objectives, fostering an AI-first development culture. I am passionate about sharing knowledge and have conducted workshops on natural language processing and large language models, empowering my colleagues to excel in their AI projects.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer- Generative AI

Current

Sky

Aug 2021 - Present (3 years 11 months)

Designed and implemented generative AI features for Sky’s streaming platform, including an automated content summarization tool, improving user engagement metrics by 15%. Developed a real-time recommendation engine using transformer models, increasing content recommendation accuracy by 20%.

Generative AI PyTorch NLP MLOps Kubernetes AWS Sagemaker

Senior ML Engineer

Scoutbee

Mar 2019 - Present (6 years 4 months)

Developed machine learning models to automate supplier recommendation, reducing vendor search time by 40%. Built generative AI prototypes to synthesize supplier profiles and auto-generate procurement reports, improving analyst productivity.

Machine Learning Generative AI Apache Airflow TensorFlow AWS Apache Spark Data Pipelines Statistical Modeling

AI Engineer

Contentful

Aug 2016 - Present (8 years 11 months)

Integrated an AI-driven content tagging system, improving content discoverability and reducing manual tagging efforts by 60%. Developed a natural language processing pipeline to automatically summarize articles, enhancing editorial workflow efficiency.

AI Natural Language Processing Python Docker GDPR Continuous Integration

Education

Degrees, certifications, and relevant coursework

University College London

Bachelor of Science, Computer Science

Studied Computer Science with a minor in Physics at University College London. Gained foundational knowledge in both fields, preparing for a career in technology.

Various

Courses, Various

Completed various regular courses via workshops and platforms such as Udemy Business. Focused on technical as well as strategic and leadership topics to enhance professional skills.