Cybersecurity enthusiast and AI professional with full-time experience at CGI, along with hands-on project experience with Outlier AI and Alignerr. I have worked on advanced AI training and evaluation projects involving prompt engineering, OpenClaw task workflows, trajectory generation, rubric creation, rubric-based evaluation, response quality analysis, data annotation, and LLM performance improvement.
My work includes evaluating AI-generated responses for accuracy, reasoning quality, safety, instruction-following, and contextual relevance while contributing to large-scale AI alignment and reinforcement learning workflows. I have experience creating detailed rubrics, validating complex AI outputs, improving prompt quality, and handling multi-step evaluation tasks requiring analytical thinking and attention to detail.
In addition to AI evaluation, I have expertise in cybersecurity concepts, backend development, full stack web development, APIs, automation, and data analytics using Python and JavaScript. I focus on building secure, scalable, and efficient solutions while maintaining high-quality standards and strong communication throughout projects.
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