Mariyam Mohamed Ayoob

About Mariyam Mohamed Ayoob

Enterprise AI Engineer | Building Production LLM Systems & Agentic AI ArchitecturesMS Computer Science (Interactive Intelligence) — Georgia Tech | AWS AI Practitioner | Azure AI EngineerI build LLM-powered systems that run in production and serve real customers. 15+ years of enterprise software engineering, now focused on deploying AI applications at scale - from governed LLM frameworks and RAG pipelines to multi-agent orchestration.What I\'ve shipped recently:→ Deployed a production LLM system that converts customer symptoms into ranked next-best actions for contact center agents - 25% reduction in Average Handle Time, measurable CSAT improvement→ Architected a multi-agent AI platform (LangGraph) for M&A intelligence, processing data from SEC EDGAR, Alpha Vantage, and multiple financial APIs → Built an AI-powered Text-to-SQL platform reducing query complexity by 90% for non-technical usersWhat I work with:AI/ML: LLM integration, LangGraph, LangChain, RAG, vector databases, prompt engineering, structured outputs, OpenTelemetry, LangSmith and other observability platformsInfrastructure: Python, FastAPI, Kubernetes, AWS, Azure, Docker, CI/CD, event-driven architecturesAlso strong in: Java, Spring Boot Decision Services, microservices, distributed systems

Experience

1. Ai Engineer at & t

   CGI

   Sep 2025 — Present

   Designed and deployed a production-grade LLM-powered microservice for real-time diagnostics during live call center support sessions. The system converts free-text customer symptoms and transcript data into ranked, policy-aligned next-best actions - achieving a 25% reduction in Average Handle Time and measurable improvement in First Call Resolution and CSAT.Architecture designed for agentic extension into autonomous tool-calling and multi-step reasoning workflows.Key Highlights:• Governed LLM framework with role-based prompting, closed-set intent classification, and schema-constrained JSON outputs ensuring hallucination reduction and policy compliance• Scalable microservices platform: FastAPI, Redis-backed event queues, actor-based worker model, PostgreSQL for durable telemetry and audit logging• Deployed to Azure Kubernetes Service (AKS) with Helm, Azure AD Workload Identity, and Key Vault for secure secret management• Full observability stack: OpenTelemetry + Azure Monitor for distributed tracing, performance metrics, and production alerting• Prompt governance, regression testing harnesses, and Dev/Stage/Prod environment isolation

Education

• Georgia Institute of Technology

  Master of Science, Computer Science

  2019 — 2020

• Anna University Chennai

  Bachelor of Technology (B.Tech.)

Skills

• Java
• J2ee Application Development
• Soap
• Web Services
• Axis2
• Cxf
• Jsf
• Brms
• Websphere Operation Decision Management
• Ibm Complex Event Processing
• Chordiant Decision Management
• Business Rules
• Javascript
• Html
• Websphere
• Websphere Application Server
• Sql
• Sql Pl
• Jmeter
• Soapui
• Rational Team Concert
• Clearcase
• Quality Center
• Junit
• Software Development
• Oracle
• Apache
• J2ee Web Services
• Jsp
• Jdbc
• Java Enterprise Edition
• Pl/Sql
• Web Applications
• Maven
• Eclipse
• Core Java
• Tortoise Cvs
• Tortoise Svn
• Hp Quality Center
• Oracle Sql Developer