Ali Raza

Built and supported production generative AI applications using OpenAI, Azure OpenAI, Anthropic Claude, Llama, and Mistral for financial research, risk analysis, compliance reporting, and knowledge workflows. Developed multi-step AI agents with LangChain/LlamaIndex integrating financial APIs and internal services for portfolio analysis and market intelligence. Established RAG platforms for document ingestion, chunking, embeddings, and semantic retrieval across SEC filings and regulatory documents. Built document intelligence pipelines using OCR, parsing, structured extraction, and semantic search. Implemented scalable FastAPI microservices exposing AI capabilities via REST endpoints, containerized with Docker and delivered through GitHub Actions CI/CD. Developed React/TypeScript UIs for AI-assisted search and analytical workflows. Added tool calling, structured outputs, retrieval grounding, validation, and evaluation pipelines to improve reliability; compared models for quality, latenc

Developed full-stack applications with Python, FastAPI, React, TypeScript, and PostgreSQL, building backend services for data ingestion, reporting, workflow automation, authentication, validation, and third-party integrations. Built React dashboards consuming Python REST APIs. Created reusable Python pipelines for extracting, transforming, validating, and persisting structured and unstructured data. Containerized services with Docker and automated builds/tests/deployments via GitHub Actions. Deployed and supported applications across Azure and AWS. Implemented authentication/authorization, input validation, API error handling, client-side state management, and robust end-to-end workflows spanning UI, services, database access, and external APIs. Supported production debugging, performance tuning, testing, code reviews, CI/CD, and releases.

Built lightweight backend services in Python and Flask (and later FastAPI), developing REST API integrations with authentication, HTTP requests, JSON parsing, validation, transformation, retries, and error handling. Created Python applications and automation scripts for internal data processing and reporting workflows. Developed Python ETL pipelines to extract, clean, normalize, and structure data from multiple sources, and wrote SQL for transactional and reporting needs. Wrote unit and integration tests, participated in debugging and peer reviews, and supported production issues. Helped with Docker containerization and evolving CI/CD practices as deployment workflows matured.