software engineering practices , Deep Learning, Git, Computer Vision, Bash Scripting, automation, Python Programming, Version Control Tools, YOLO, semantic segmentation, object detection models

Visual Basic for Applications (VBA) Programming Language, User-defined functions (UDFs), Dynamic-link libraries (DLLs), Power Platform, Python

Sql, Azure ML, MLops, Databricks, Python, LLMs, generative AI, object-oriented programming, MLflow, Unity Catalog, R, GCP Vertex AI, AWS SageMaker, Delta Lake

Nlp, Predictive Modeling, Machine Learning, Apis, Deep Learning, Microservices, Tensorflow, MLops, Pytorch, Gcp, Data Architecture, Azure, Python, AWS, Computer Vision

Machine Learning, Tensorflow, Azure ML, Nlp, Pytorch, Azure Functions, Azure Cloud, Python, Azure DevOps, Pinecone, LLM-based systems, Azure ML pipelines, HuggingFace, Scikit-learn, MLflow, vector databases, FAISS, Kubeflow, Transformers, MLOps tools, Weaviate, Spacy

Cloud Computing, Machine Learning, Natural Language Processing, Python, Deep Learning, Data Analysis

Can, C, Algorithm Development, MATLAB, Linux, Ethernet, Qnx, Python, Sensor fusion techniques, Kalman Filter, Particle Filter, SOME IP, JPDA, Simulink, Camera image processing, Embedded real-time systems, Android Automotive OS, ADAS calibration tools, Radar signal processing, Extended KF, Sensor validation frameworks, Automotive communication protocols