I’m Yesha, an AI/ML specialist and technical writer with a Master’s in Computer Science specializing in Machine Learning from the University of Montreal and MILA – Quebec AI Institute. My work sits at the intersection of AI engineering, LLMs, RAG, Agentic AI, and technical content. I’ve worked on a range of machine learning and AI projects, from developing Graph Neural Networks for fault detection at Hydro-Québec to building RAG-based systems for improving LLM accuracy. I’ve also worked with technologies including LangChain, PyTorch, TensorFlow, vector databases, AWS, Docker, Kubernetes, and various LLM platforms. Alongside my technical work, I’ve been writing about AI and machine learning for publications and companies including V7 Labs, Encord, Zilliz, DataCamp, and KDnuggets, with some of my Medium articles reaching 10,000+ views. This experience has taught me how to take technically complex topics and turn them into content that is accurate, engaging, and easy to understand. What makes me stand out is that I bring both technical depth and a writer’s perspective. I don’t just understand AI concepts - I know how to research them, question them, structure them, and communicate them effectively to different audiences. Whether you need a technical article, AI/ML research, documentation, thought leadership content, or help understanding and implementing an AI solution, I focus on producing work that is technically sound while still being genuinely useful and readable. I’m particularly interested in working with clients who want to explore emerging areas such as Generative AI, LLMs, RAG, AI agents, and machine learning, and turn complex ideas into something people can actually understand and use.…I’m Yesha, an AI/ML specialist and technical writer with a Master’s in Computer Science specializing in Machine Learning from the University of Montreal and MILA – Quebec AI Institute. My work sits at the intersection of AI engineering, LLMs, RAG, Agentic AI, and technical content. I’ve worked on a range of machine learning and AI projects, from developing Graph Neural Networks for fault detection at Hydro-Québec to building RAG-based systems for improving LLM accuracy. I’ve also worked with technologies including LangChain, PyTorch, TensorFlow, vector databases, AWS, Docker, Kubernetes, and various LLM platforms. Alongside my technical work, I’ve been writing about AI and machine learning for publications and companies including V7 Labs, Encord, Zilliz, DataCamp, and KDnuggets, with some of my Medium articles reaching 10,000+ views. This experience has taught me how to take technically complex topics and turn them into content that is accurate, engaging, and easy to understand. What makes me stand out is that I bring both technical depth and a writer’s perspective. I don’t just understand AI concepts - I know how to research them, question them, structure them, and communicate them effectively to different audiences. Whether you need a technical article, AI/ML research, documentation, thought leadership content, or help understanding and implementing an AI solution, I focus on producing work that is technically sound while still being genuinely useful and readable. I’m particularly interested in working with clients who want to explore emerging areas such as Generative AI, LLMs, RAG, AI agents, and machine learning, and turn complex ideas into something people can actually understand and use.WWWW…