As Gen AI,Machine Learning & Cloud expert with overall 20+ years of experience, I specialize in leveraging cutting-edge technologies to develop innovative solutions that drive business transformation. My career spans across Generative AI, Deep Learning, Natural Language Processing (NLP), and Cloud Computing, with expertise in prompt engineering, RAG & fine-tuning large language models like GPT, LLaMA and Mistral, and applying advanced techniques such as LoRA and QLoRA.I have successfully designed and deployed AI-driven solutions, including predictive models, recommendation systems, RAG Systems. My proficiency extends to LLMs - GPT, LLaMA, Mistral, Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP), ensuring scalable and robust AI architectures.With a deep passion for continuous learning and staying ahead of the curve in AI and Data Science, I am eager to collaborate on innovative projects that harness AI's potential to solve complex, real-world problems. I am always open to exploring new opportunities to further push the boundaries of technology in Generative AI and Machine Learning.Skill Sets-Generative AI Expertise: Proficient in Generative AI LLMs (GPT, LLaMA, Mistral), including Prompt Engineering, Retrieval-Augmented Generation (RAG) systems, and fine-tuning techniques.-Advanced Model Fine-Tuning: Expertise in optimizing large language models (LLaMA, Mistral) using cutting-edge techniques like LoRA and QLoRA for enhanced performance in NLP tasks.-Natural Language to SQL Conversion: Skilled in developing NLP-based frameworks to enable natural language to SQL conversion, improving database query efficiency and usability.-Predictive Analytics and Deep Learning: Advanced knowledge in designing and deploying predictive analytics models and deep learning architectures tailored for diverse applications, including financial and business domains.-AI-Driven Solutions: Extensive experience in building AI-powered systems, such as recommender systems, chatbots, RAG pipelines, and automated data pipelines for large-scale processing.-Technical Proficiency: Expert in programming and AI tools including Python, TensorFlow, PyTorch, Scikit-Learn, SQL, LangChain, and Hugging Face libraries.-Data Visualization and Analytics: Proficient in translating data into actionable insights using visualization platforms like Tableau, Power BI, Seaborn, and Matplotlib.-Cloud and DevOps Expertise: Hands-on experience with Cloud Computing (AWS, Azure, GCP), DevOps tools, and Infrastructure-as-Code (Terraform) to support scalable AI solutions.