I’m a Full-Stack AI/ML Engineer building production-grade intelligent systems that translate machine learning into measurable business impact. At Electronic Arts, I engineer end-to-end AI solutions powering global game titles across 100+ markets. My work spans revenue forecasting, pricing simulation, AutoML platforms, and LLM-driven analytical agents — ensuring models are not only accurate, but scalable, reliable, and cost-efficient in production. I operate across the full lifecycle of AI systems: Designing time series forecasting and revenue modeling frameworks Building modular AutoML systems with automated feature engineering, EDA, and Code Generation Developing LLM-powered agents (RAG, structured outputs, Text2SQL) Implementing MLOps pipelines and lifecycle automation on AWS Engineering cloud-native backend APIs and React-based AI interfaces Technically, I build with AWS (SageMaker, Lambda, API Gateway), MLflow, Docker, Snowflake, CI/CD pipelines, and modern frontend stacks — owning systems from experimentation to deployment. I’m particularly interested in architecting intelligent platforms that reduce experimentation latency, increase model reliability, and automate high-leverage decision workflows at scale.