I specialize in AI/ML engineering, Generative AI, and data-driven solutions, with experience spanning across Data Science, AI research, and tech product management. My expertise lies in building and deploying Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Deep Learning, and NLP-driven automation to solve real-world challenges. 🔹 Professional Experience: Data Scientist (Gen AI Team) at AB InBev – Contributing to AI-driven innovations, focusing on Conversational AI, document search, and LLM-based automation. Data Scientist at Arthmate – Optimizing RAG-based chatbots and document retrieval systems, and conducting research on LangChain vs. LlamaIndex. Data Science Consultant at Palo Alto Strategy Group – Led AI-driven insights and solutions, focusing on data-driven decision-making. 📚 Education & Achievements: Tech Leaders Fellowship, Plaksha University – Selected among a cohort of 50 from 2000+ applicants, focusing on AI/ML leadership. B.Tech in Computer Science Engineering – Strong foundation in AI/ML methodologies. Winner, Smart India Hackathon 2020 – Developed an innovative AI-driven solution. 💡 Key Skills & Strengths: Generative AI & LLMs – Transformers, Fine-Tuning, AI Agents, LangChain, LlamaIndex Machine Learning & Deep Learning – ANN, CNN, RNN, NLP, Computer Vision Tech Stack – Python (Pandas, NumPy, Matplotlib, TensorFlow, Scikit-Learn, Keras), SQL, Snowflake, AWS, Fivetran, Docker, FastAPI Product & AI Strategy – Agile Methodologies, Data-Driven Decision Making, Sprint Planning 🎯 What drives me? Solving complex challenges using AI, driving AI-led product innovations, and bridging the gap between research and real-world applications. 📬 Let’s connect! I'm always open to discussing AI/ML innovations, Generative AI, and AI-driven product strategy.