Summary
Shweta Pawar is a Lead AI Scientist based in Abu Dhabi with 8.5+ years building production-grade speech, NLP, and generative AI systems across enterprise and research settings. She has deep hands-on experience in RAG, LLM deployment (Amazon Bedrock/SageMaker), speech synthesis and ASR pipelines, and practical guardrails for prompt safety and data privacy. Her recent work includes architecting Syngpt, a cross-departmental GenAI platform that routes multi-turn queries to the right knowledge stores and automated support workflows. Historically she has delivered custom TTS/voice cloning, audio fingerprinting, and clinical NLP/knowledge-graph projects, demonstrating a rare mix of speech tech and enterprise AI. Shweta pairs statistical rigor (MSc in Statistics) with applied ML engineering, leading client PoCs and end-to-end deployments. She’s also quietly focused on making small, specialist LMs robust for production use rather than chasing only large models.
8 years of coding experience
8 years of employment as a software developer
Master of Science Statistics, Master of Science Statistics at Shivaji University
English, Hindi, Marathi