Machine Learning, Nlp, Pytorch, Docker, Rest Apis, Kubernetes, Python, Hugging Face Transformers, RAG, vector databases

Deep Learning, AWS, Pytorch, Python, Kubernetes, Azure, Gcp, Nlp, Spark, Video, Llm, feature engineering, Vision, fine-tuning, cloud platforms, embeddings, training pipelines, Production Monitoring, RAG, inference, end-to-end ML systems, VLM, distributed data processing, generative AI

Data Science, Predictive Modeling, Eda, Python, Omics, R, Geonomics, Clinical Analysis

Amazon CloudWatch, Unsupervised Learning, Deep Learning, Tensorflow, Pytorch, MLops, AWS CloudFormation, AWS, Generative AI, AWS Step Functions, ML algorithms, LLMs, scikit-learn, Machine Learning Engineering, supervised learning, Amazon SageMaker, model observability, Applied Machine Learning, RAG, Amazon Bedrock, Prompt Engineering

MLops, Python, Sql, AWS Bedrock, Transformers, LLM models, AWS SageMaker

model development , Data Cleaning, Sql, Numpy, Pandas, Python, offline evaluation, time-series data anomaly detection, scikit-learn, field validation, Forecasting, Classification, hybrid ML plus heuristics, Regression, rule-based systems, deployment monitoring, signal validation, drift detection, iteration, feature engineering

S3, Sql, Lambda, Pytorch, Docker, Kubernetes, Python, AWS, OR-Tools, reinforcement learning, SageMaker, CVXPY, Gurobi

Machine Learning, data mining, Deep Learning, Tensorflow, MLops, Gcp, Pytorch, Databricks, Azure, Python, AWS, scikit-learn, data processing transformation tools, cloud environments, Optimization, big data infrastructures, CI CD for ML monitoring

Api Development, Keras, Numpy, Pytorch, Deep Learning, Tensorflow, Python, Pandas, MLops, concepts and algorithms, RESTful microservices