Daniel M.
Machine Learning Engineer specializing in NLP & Computer Vision || Python || PyTorch || TensorFlow || AWS
- Role
- Machine Learning Engineer at PLS
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Daniel M.
I am dedicated to architecting and deploying production-grade artificial intelligence…
Experience
Machine Learning Engineer
Jan 2024 — Present
Engineered and deployed end-to-end machine learning pipelines on cloud platforms including Azure, AWS, and Snowflake.* Developed and optimized deep learning models for Computer Vision applications, specifically utilizing YOLOv5/v8 and Faster-RCNN.* Built LLM/GenAI applications by implementing LangChain and RAG pipelines to enhance enterprise automation and knowledge retrieval.* Advocated for and applied MLOps methodologies, leveraging tools like MLflow, Docker, and Kubernetes** to ensure reproducibility, efficiency, and scalability.* Reduced manual document processing efforts by 80% through the design and implementation of an intelligent OCR pipeline.* Achieved over 95% recognition accuracy on challenging documents by refining and enhancing deep learning models such as TrOCR and Vision Transformers.
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