Sai Bharadwaj Sarikonda

Architected and scaled production AI applications and agentic workflows using TypeScript, React, Next.js, and LLMs. Designed RAG and CAG systems with Azure Blob Storage and PostgreSQL vector databases, implemented tool-calling workflows, and added guardrails and validation layers for safe, reliable outputs. Integrated Contentful-based knowledge retrieval into Copilot systems, implemented Azure monitoring and observability, and partnered with customers to translate business requirements into production AI workflows.

Developed production web applications and AI-powered intelligence workflows using TypeScript, React, Next.js, Node.js, Python, and FastAPI on AWS. Built AI agents and Copilot systems using LLMs, prompt engineering, RAG and CAG pipelines, embeddings, PostgreSQL vector databases, tool calling, and agent orchestration. Implemented guardrails, SOC-aligned security controls, bias detection models, AWS Lambda and containerized deployments, a Chrome extension for data capture, and scalable APIs and real-time data pipelines.

Analyzed customer accounts, order histories, and concession patterns to identify suspicious activity, refund abuse, replacement abuse, and policy violations. Investigated high-risk cases using historical customer and transaction data, evaluated behavioral trends and anomalies, and supported risk decisions balancing fraud prevention, financial loss, and customer experience.