​Hello! I'm Soniya S.

Ability to translate emerging AI capabilities into enterprise-ready product roadmaps through customer discovery, competitive positioning, prioritization frameworks, and cross-functional alignment across engineering, GTM, and executive stakeholders

Deep experience across the full ML lifecycle, from data preparation and model selection to evaluation, deployment, and performance monitoring, spanning classical ML, deep learning, and production AI pipelines for real-world business applications

End-to-end ownership of LLM-powered products and autonomous agent systems, including multi-agent orchestration, tool use, memory architectures, retrieval-augmented generation (RAG), and iterative agent performance optimization at enterprise scale

Proficiency in system prompt design, chain-of-thought reasoning, few-shot prompting, role framing, and structured output techniques to optimize LLM behavior, improve reliability, and deliver consistent results across diverse enterprise use cases

Hands-on expertise deploying scalable AI workloads on AWS using containerized microservices, serverless architectures, CI/CD pipelines, and GPU-optimized environments, bridging infrastructure decisions with AI product performance and cost efficiency

Designing responsible AI frameworks covering model transparency, bias detection, access control, data privacy, audit logging, and compliance guardrails, ensuring AI products meet enterprise trust standards and regulatory expectations without sacrificing speed