M. M uaz Sen io r A I & F u ll- S ta ck

Senior AI & Full-Stack Engineer at WNK Associates

Designed and developed scalable AI-powered applications using Angular, NestJS, and Python, improving application reliability through optimized architecture, API design, and backend service improvements. Built secure REST APIs using OAuth2 and JWT authentication with role-based access controls. Developed RAG-based AI applications using OpenAI APIs, LangChain, LlamaIndex, and vector databases to process enterprise documents and enable semantic search and AI-assisted knowledge retrieval workflows. Optimized PostgreSQL, MySQL, and MongoDB via indexing strategies, query optimization, and schema improvements to reduce API latency and improve scalability. Implemented CI/CD pipelines using GitHub workflows, Jenkins, and automation tools to improve deployment consistency and software delivery processes. Integrated third-party APIs, AI services, and cloud-based solutions to expand application capabilities and improve operational efficiency. Collaborated with developers, product managers, and sta

AI Engineer at PagerDuty

Developed AI-driven solutions using Python, machine learning models, and third-party APIs to automate complex workflows and enhance application intelligence. Built backend services and AI pipelines supporting enterprise applications, improving scalability, reliability, and maintainability.

Senior Full Stack Engineer at DataDog

Developed scalable healthcare applications using modern front-end and back-end technologies, improving usability, reliability, and maintainability. Designed reusable frontend components, backend services, and application architectures to support scalable software development. Conducted code reviews and mentored junior developers, improving engineering practices and code quality. Optimized application architecture, database performance, and backend workflows to improve system responsiveness. Collaborated with cross-functional teams to deliver business-critical software solutions.