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AI & ML | Adversarial ML | Defence Systems | Augmented Intelligence
Adversarial Machine Learning engineer with a proven track record of hardening deep learning models against "Intelligentized" threats, including data poisoning and evasion attacks. Developed a suite of defensive distillation and input transformation tools to protect Computer Vision models from gradient-based white-box. I’ve a strong understanding of developing NLP models for sentiment, scoring, summarization, intent classification, dialog flows, text-to-speech, and speech-to-text to the conversational design process. Skilled in modern AI/ML/NLP techniques, including BERT and Retrieval-Augmented Generation (RAG), and familiar with relevant tools, frameworks, infrastructure, and MLOps platforms.
University
Bachelor's Degree, Software Engineering
January 1, 2003 – January 1, 2007
User Experience Design
AI/ML | Adversarial Machine Learning | NLP
May 1, 2020 – Present
Johannesburg Area, South Africa
Telkom
Head of Data & Analytics | AI/ML Engineer
March 1, 2016 – March 1, 2020
Johannesburg Metropolitan Area
Bowmans Law
Digital Technology Officer | MarTech | SEO
August 1, 2010 – May 1, 2015
South Africa
Purple Cow Communications Ltd
Technical Search Engine Optimization Engineer
December 1, 2008 – July 1, 2010
Cape Town Area, South Africa
CopperTable
Software Engineer | Technical SEO
April 1, 2008 – December 1, 2008
Johannesburg Area, South Africa
Cultural Fit Analysis
The candidate has a diverse background spanning AI/ML, data analytics, digital marketing, and SEO across various companies. This breadth of experience suggests adaptability and a willingness to engage with different business domains. The progression into leadership roles in AI/ML indicates a strong drive and alignment with advanced technological fields. The long tenure in relevant roles (e.g., Telkom, User Experience Design) suggests stability and commitment. However, the lack of specific project details or open-source contributions makes it difficult to fully assess collaborative cultural fit beyond professional descriptions.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Head of Data & Analytics, AI/ML | Adversarial Machine Learning | NLP) which suggests strong operational fit in terms of leading initiatives and managing teams. Descriptions of cross-functional collaboration and driving strategic agendas indicate good communication and teamwork skills. The focus on improving operational efficiency and driving revenue growth aligns with business-oriented problem-solving.