Hi, I’m Sayli, a lead AI Automation Engineer focused on building and deploying production-grade AI systems that solve real-world problems. I specialise in applied AI across Data Science, Generative AI, and Agentic AI systems, working on everything from classical machine learning solutions to advanced architectures such as Retrieval-Augmented Generation (RAG) and multi-agent systems. My work centres on designing intelligent systems that can reason, retrieve knowledge, and automate complex workflows in practical business environments. As a founding Data Scientist, I’ve been involved across the full AI lifecycle from problem framing and system design to implementation, deployment, and scaling. I’ve built and delivered AI solutions across industries, working with technologies spanning NLP, computer vision, and large language models, with a recent focus on agentic workflows and LLM-powered systems. My experience has given me a strong understanding of real-world constraints that shape successful AI systems, including data quality, latency, cost efficiency, evaluation, and maintainability. I focus on building solutions that are not just technically sound, but also reliable, scalable, and aligned with business impact. Alongside my industry work, I’m deeply involved in mentorship and knowledge sharing. I enjoy helping engineers transition into AI, guiding professionals in building practical, portfolio-ready projects, and supporting teams in adopting modern AI practices. I’ve worked with individuals and teams at different stages from early-career professionals to startups, helping them navigate the rapidly evolving AI landscape with clarity and a focus on what actually works in production. My approach is practical and execution-driven, whether I’m building systems or mentoring others prioritising strong fundamentals, thoughtful system design, and real-world applicability over hype.