India
Book Appointment : https://topmate.io/chitra_jayavel Passion: Building production-grade GenAI systems | Research focus: RAG Architecture, LLM Fine-tuning, Ontology Design & Knowledge Graphs What I Do: Lead GenAI Data Scientist at CoreStack, specializing in designing and deploying scalable RAG (Retrieval-Augmented Generation) systems and fine-tuning large language models for enterprise applications. My research interests span advanced prompting strategies, knowledge ontology frameworks, and cost-optimized AI inference pipelines and AI Architecture Design. Key Expertise: • Retrieval-Augmented Generation (RAG): Advanced chunking, embedding strategies, vector databases • Large Language Models: Prompt engineering, fine-tuning, model selection & evaluation • Ontology & Knowledge Graphs: Semantic reasoning, knowledge representation, entity linking • Agentic AI & LLM Agents: Building intelligent autonomous systems with tool use • Cost Optimization: Cloud infrastructure optimization, inference cost reduction (20-60%+) • Data Quality & Anomaly Detection: Real-world implementation across cloud platforms Experience: Ford Motor Company (Senior Data Scientist): Leveraged advanced data science techniques including generative AI and RAG architectures to optimize business processes and enhance customer experiences. Led cross-functional collaboration to deliver data driven solutions across multiple business units. Previous roles at Ford & leading tech companies have shaped my expertise in delivering impact through data science and AI innovation. Education: Master of Computer Applications (MCA) - Big Data Processing, Guru Nanak College: Strong foundation in data processing, complemented by hands-on software engineering What I Share: - Deep-dive articles on GenAI architecture patterns - RAG system design interviews & troubleshooting - LLM fine-tuning & evaluation techniques - Interview preparation for Gen AI Data Science roles Looking To: Mentor aspiring data scientists & AI engineers | Share research insights | Collaborate on innovative AI projects All views expressed are my own and do not represent my employer.