Mohammad Ayaz Alam

• Architected multi-agent AI framework using LangChain/LangGraph with PostgreSQL, RESTful API, and multi-LLM support • Implemented MCP server with 6 specialized agents for complex workflows • Applied framework to Siemens Energy's TMS for operator support and incident management • Built NLP components with extensible tool registry for intelligent operator copilots

• Applied ML techniques (XGBoost, Random Forest, PU learning) to forecast labor market trends • Built scalable data pipelines for preprocessing 90M records • Developed predictive models for job suitability ranking • Conducted comprehensive data analysis and EDA for labor market insights

• Supported internal clients by building and integrating Generative AI tools into daily workflows • Developed Data Validation AI Agent for dataset analysis and quality scoring • Led end-to-end event app development with submissions, voting, and analytics features