MD AZAD HOSSAIN RAJU

Cloud AI & Data Infrastructure Engineer at Morine Technologies USA

Architected a production-grade serverless RAG framework using Amazon Bedrock, LangGraph, and Pinecone, reducing end-to-end query latency by 30% and improving answer quality. Built high-availability ETL pipelines across AWS Glue/EMR (Spark) and GCP Dataflow to ingest and structure unstructured enterprise data into secure storage and BigQuery. Containerized AI microservices using Docker and FastAPI on AWS Lambda, set up automated CI/CD with GitHub Actions, and monitored model drift with MLflow. Designed scalable conversational agents and enterprise summarization workflows using AWS API Gateway, Lambda, and Hugging Face Transformers with semantic retrieval. Benchmarked predictive model performance (precision, recall, F1, ROC-AUC) to support governance across multi-cloud deployments.

Business Data Analyst at AN Logistics

Engineered automated SQL pipelines to extract, clean, and consolidate logistics data, cutting manual reporting time by about 15 hours per week. Built interactive dashboards for supply-chain KPIs, improving inventory forecasting accuracy by 12%. Partnered with cross-functional teams to translate business requirements into data models while maintaining integrity across reporting systems. Performed root-cause analysis on recurring shipment delays to identify bottlenecks and support renegotiation of carrier contracts. Presented data-driven recommendations to senior leadership impacting warehouse staffing and routing decisions.