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Sowmya Yalavarthi
Sowmya Yalavarthi
About
Detail
Virginia, United States
Generative AI and Data Science professional with 10 + years of experience delivering AI-driven and data-intensive solutions across financial services, banking, healthcare, and telecom environments. Extensive hands-on experience building production-ready Generative AI systems, including retrieval-augmented generation (RAG), semantic search, vector-based retrieval, and LLM-powered document intelligence, deployed in enterprise settings. Strong expertise in prompt engineering, context grounding, hallucination reduction, and LLM evaluation, ensuring GenAI outputs are accurate, explainable, and aligned with business expectations. Proven background in machine learning and applied NLP, with experience developing classification, prediction, and text analytics solutions using structured and unstructured data. Deep understanding of end-to-end AI lifecycle, from data ingestion, feature engineering, and model training to evaluation, deployment, monitoring, and continuous improvement. Experienced in designing cloud-native AI architectures on Azure and AWS, integrating data pipelines, GenAI workflows, vector stores, security controls, and CI/CD pipelines. Strong focus on enterprise security, governance, and compliance, with hands-on experience implementing encryption, access controls, audit logging, and secure model deployment in regulated industries. Demonstrated ability to optimize GenAI systems for performance and cost, including tuning retrieval strategies, embedding approaches, token usage, and inference workflows. Comfortable working with large-scale data platforms and distributed processing frameworks, supporting high-volume data ingestion, transformation, and analytics. Known for a hands-on, problem-solving mindset, strong attention to detail, and the ability to quickly understand complex domains and translate them into practical AI solutions. Effective collaborator with engineering, analytics, product, and business stakeholders, ensuring AI solutions are technically sound, usable, and aligned with real-world workflows. Passionate about applying Generative AI and advanced analytics to solve meaningful problems, improve decision-making, and drive measurable business impact.