I’m Kalidass V, a results-driven Machine Learning Engineer focused on Generative AI and LLM solutions, with 12+ years of overall IT experience and deep hands-on work across RAG architectures, fine-tuning, and agentic workflows. I enjoy building practical, production-ready AI systems that help teams retrieve the right knowledge, automate complex workflows, and improve decision-making with measurable accuracy and efficiency gains.
In my recent work at Datamatics Global Services (Azure OpenAI, LangChain/LangGraph, hybrid RAG, and MLOps), I’ve designed end-to-end AI solutions like enterprise chatbots and ML-powered ticket automation, optimizing retrieval and prompt flows to reduce hallucinations and unnecessary LLM calls. I also bring strong cloud and deployment expertise across AWS and Azure, along with a track record of mentoring teams and integrating ML outputs into dashboards and APIs so stakeholders can trust and act on the results.
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