Salman Mostafa

Developed autonomous multi-agent systems on Google Cloud Platform using Vertex AI, the Agents Development Kit (ADK), and Gemini 2.5 for coordinating inventory forecasting, logistics routing, and customer service automation. Built scalable data pipelines with BigQuery and Dataflow for real-time retail and logistics data, and implemented reinforcement learning for adaptive pricing and demand forecasting. Deployed multi-agent orchestration through ADK for coordination across forecasting and fulfillment agents, integrating with Walmart’s internal APIs under governance and security policies. Used MLflow, Vertex AI Model Monitoring, and OpenTelemetry for continuous performance tracking and observability, achieving improvements in inventory accuracy and operational efficiency.

Resolved data reliability issues and owned end-to-end ETL pipelines in GCP, managed Airflow workflows, and delivered datasets for Marketing Mix Models (MMM). Served as the data SME for marketing pipelines, mentored a junior engineer, and transformed Walmart TVWall data into a production-grade marketing channel integrated into MMM models. Led ETL and reporting infrastructure for a high-visibility Customer Lifetime Value (CLV) initiative supporting $40M+ in advertising investments and built a RAG-based internal knowledge chatbot using vector databases, semantic search, and OpenAI APIs. Collaborated with data owners to evaluate new marketing channels and deployed robust validation and monitoring processes.

Applied NLP, machine learning, and data analytics across multiple industries, performing data profiling, model development with transformers (BERT, GPT, ELMO), and ML pipelines deployed on AWS and GCP. Built hybrid recommender systems, customer segmentation, and marketing analytics; contributed to RPA-enabled workflows and documented solutions for business stakeholders. Utilized Python packages (NumPy, Pandas, Scikit-Learn), TensorFlow, and Docker/Kubernetes for production deployment; collaborated with compliance for appropriate use cases and delivered actionable analytics.