Current Position
AI/ML Engineer
Sep 2024 – PresentMeijer · Chicago, IL, USA
- Designed and deployed scalable AI/ML solutions on AWS for demand forecasting, customer analytics, inventory optimization, and recommendation systems.
- Developed scalable data pipelines using Amazon S3, AWS Glue, Lambda, and Redshift to process enterprise datasets for machine learning.
- Built Generative AI applications using LLMs, Prompt Engineering, RAG, LangChain, OpenAI, and Hugging Face.
- Developed NLP models for sentiment analysis, text classification, document summarization, semantic search, and customer feedback analysis.
- Designed intelligent recommendation systems to improve customer experience and targeted marketing.
- Built and deployed production-ready AI models using Amazon SageMaker, Docker, Kubernetes, and FastAPI.
- Integrated Pinecone and FAISS vector databases to build enterprise AI search solutions.
- Implemented MLOps using MLflow, Apache Airflow, GitHub Actions, and CI/CD pipelines for automated model deployment and monitoring.
- Collaborated with cross-functional teams to deliver AI-driven retail solutions that improved operational efficiency and customer satisfaction.