Hey! I'm Arun, a Senior Data Scientist based in Bangalore with 6 years of experience building production-grade AI systems across Healthcare, Retail, and Finance. My work lives at the intersection of GenAI and real business impact — I've built RAG pipelines, agentic chatbots, medical coding platforms, and retail optimization engines that have shipped to production and driven measurable results. What I work with day-to-day: LLMs, RAG, LangChain, LangGraph, AWS Bedrock, Fine-tuning (LoRA/PEFT), Vector Databases, MLOps, Docker, Kubernetes, Python My journey so far: Currently at Netsmart — building GenAI solutions for clinical healthcare Before that at KMART/Anko — conversational analytics, product recommendations, and an optimization engine that added 22M AUD to EBIT Started at Capgemini — ML pipelines across Finance and Insurance I also actively interview candidates for Data Scientist and MLOps roles at my firm. So when I talk about interview prep, it comes from the other side of the table — I know what we look for, what red flags come up, and what genuinely impresses interviewers. I can help you with: Data Science & MLOps interview preparation Breaking into or transitioning to GenAI roles Resume reviews and career direction Guidance on LLMs, RAG, agentic AI, and system design I'm not here to give generic advice. If you book a session or drop a message, expect an honest, practical conversation tailored to where you are in your journey. Let's talk! 😊