I’m an AI Engineer at Laticrete International with a strong foundation in data science and a passion for building intelligent systems that solve real-world problems. With a Master’s in Data Science from the University at Buffalo and hands-on experience across machine learning, LLMs, and RAG, I specialize in designing scalable, data-driven solutions that align with business goals. Previously at Spillbox, I developed AI-powered assistants using technologies like OpenAI embeddings, FAISS, and AWS services, reducing response times and cutting support costs by 80%. My work spans RAG pipelines, predictive modeling, and end-to-end ML deployment using CI/CD practices on cloud platforms like Azure and AWS. During my Co-op, I led demand forecasting initiatives at Baldwin Richardson Foods, achieving 90% accuracy across 20+ SKUs and unlocking significant revenue opportunities through data-backed insights. I thrive at the intersection of AI engineering and business strategy, leveraging Python, SQL, PySpark, and cloud-native tools to build robust, explainable, and impactful AI systems. Let’s connect!