Maneesha V

Senior AI/ML Engineer with 8 years of experience building scalable machine learning and Generative AI systems across financial services, healthcare, and payments domains. Experienced in developing enterprise AI platforms involving RAG pipelines, agentic workflows, semantic search, real-time inference, model deployment, and cloud-native architectures on AWS and Azure. Currently working on production-grade AI systems focused on retrieval-augmented generation, LLM orchestration, evaluation frameworks, observability, and secure AI deployments. Strong experience designing end-to-end ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and optimization. Hands-on expertise with Python, FastAPI, LangChain, OpenSearch, Databricks, PySpark, Kubernetes, MLflow, and cloud infrastructure. Comfortable working closely with engineering, product, security, and business teams to deliver reliable and scalable AI solutions in regulated environments. Always interested in solving practical AI problems that create measurable business impact through scalable engineering and intelligent automation.