“Usability’s strength is in identifying problems, while design’s strength is in identifying solutions.” – Alan Cooper I am passionate about building scalable data pipelines, AI-powered applications, and optimizing machine learning workflows to drive intelligent decision-making. With over three years of experience as a Data Engineer and Machine Learning Engineer, I have worked extensively on big data processing, cloud platforms, business intelligence, and AI-driven solutions. At State Street Corporation, I engineered high-performance data pipelines that enhanced financial analytics, improving efficiency, scalability, and data integrity. My expertise spans cloud computing (AWS, GCP, Azure), MLOps, and model deployment, ensuring seamless integration of AI into enterprise systems. Recently, my focus has been on Generative AI (Gen AI), Retrieval-Augmented Generation (RAG), and AI applications that leverage LLMs, NLP, and vector search for intelligent information retrieval and automation. I am particularly interested in fine-tuning models, optimizing AI pipelines, and deploying scalable AI solutions for real-world applications. Driven by curiosity and a problem-solving mindset, I continuously explore cutting-edge AI innovations and emerging technologies. Let’s connect and discuss the future of AI, Gen AI, and data-driven solutions!