Ayyaz Shaikh

Led a 6-member AI Labs team building an enterprise Generative AI platform leveraging Retrieval-Augmented Generation (RAG) and LLMs. Implemented a self-serve chatbot builder for internal teams to upload documents and generate domain-specific chatbots using vector search and prompt chaining. Integrated LangChain and multiple LLMs from different cloud providers’ APIs with internal enterprise data, improving query accuracy by 40% and reducing manual documentation search time by 60%. Designed a modular AI workflow orchestration layer in Python + Java, enabling easy deployment on AWS containers. Delivered a secure admin console for bot lifecycle management with fine-grained access controls and analytics.

Project: AI Labs (Generative AI Platform) - Spearheading a 6-member team building an enterprise Generative AI platform leveraging Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). - Implemented a self-serve chatbot builder enabling internal teams to upload documents (PDF, Word, CSV) and instantly generate domain-specific chatbots using vector search and prompt chaining. - Integrated LangChain and multiple LLMs by different cloud providers API with internal enterprise data, improving query accuracy by 40% and reducing manual documentation search time by 60%. - Designed a modular AI workflow orchestration layer in Python + Java, supporting easy deployment on AWS containers. - Delivered a secure admin console for bot lifecycle management with fine-grained access controls and analytics. Project: Equities & Derivatives (Front-Office Trading) - Led design & development of Autocall and Exotic Option pricing systems for Equity Quant Finance (EQF) domain. - Implemented low-latency trading APIs using Java 21, gRPC, and Javalin, reducing response times by 35%. - Migrated legacy .NET services to Java-based microservices, improving maintainability and scalability.

Enhanced Java-based migration tool enabling data import from multiple workflow automation platforms. Conducted code reviews and optimization, improving processing efficiency by 40%. Led a 4-member team, aligning delivery with stakeholder priorities and business goals.