Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
James Lawn is a seasoned Senior Software Engineer with 12 years of dedicated experience in designing, developing, and deploying scalable software solutions, with a particular focus on Artificial Intelligence and Machine Learning applications. He possesses a strong proficiency in Python, Java, and C++, coupled with expertise in cloud platforms like AWS and Azure. James is recognized for his problem-solving acumen, his ability to lead and mentor engineering teams, and his commitment to delivering high-quality, impactful technology. He is passionate about leveraging data to drive innovation and has a proven track record of successfully bringing complex projects from ideation to production in fast-paced environments. He is an advocate for agile methodologies and continuous learning, always seeking to explore emerging technologies.
James Lawn's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully designed and led the development of a new recommendation engine for a major e-commerce platform, resulting in a 15% uplift in user engagement and a 10% increase in conversion rates within the first six months of deployment.
Received the company-wide 'Innovator of the Year' award for developing a novel machine learning model that significantly improved operational efficiency by automating a previously manual data analysis process, saving an estimated 500+ man-hours annually.
Co-authored and presented a paper at an international AI conference (e.g., 'AI & Big Data Expo') on best practices for building and maintaining scalable machine learning systems in enterprise environments, which was later cited in several industry publications.
Active contributor to a popular open-source AI toolkit, focusing on enhancing its data preprocessing and model deployment modules, benefiting a wide community of developers and researchers.
University College London, U. of London - Year 1987
University of Essex - Year 1999
Canford - Year 1983
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Polecat is a leading risk intelligence company that provides AI-powered technology to help organizations monitor and manage their global reputation, ESG (Environmental, Social, and Governance) performance, and other critical business risks. By analyzing millions of online and media sources in real-time, Polecat offers actionable insights that enable businesses to proactively identify threats, mitigate potential crises, and capitalize on opportunities.
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