Java, Node.js, Sql, Microservices, React, Gcp, Docker, Distributed Systems, Rest Apis, Azure, Kubernetes, Python, AWS, LLMs, GenAI APIs, NoSQL databases, modern JavaScript, CICD pipelines, vector stores, RAG architectures

statistical data analysis , Data Manipulation, Machine Learning, Sql, Python Programming, Clustering, Software Development Methodologies, UNIX command line, Agile development practices, anomaly detection, Classification, ML Ops, feature engineering, Azure AI Search

Machine Learning, Pyspark, Unsupervised Learning, Deep Learning, Gcp, Azure, Python, AWS, model training, supervised learning, Deployment, hyperparameter tuning

Tensorflow, Nlp, MLops, Pytorch, Databricks, Azure, Python, Deep Learning, LangGraph

Tensorflow, Numpy, Pandas, Pytorch, Python, Statistical Analysis, R, Scikit-learn

Sql, AWS, Nltk, Pytorch, Python, Azure, Gcp, Nlp, Scikit-learn, GPT, BERT, Transformer-based models

Deep Learning, Tensorflow, Machine Learning, Scala, Pyspark, Spark, Keras, Python, GenAI, scikit-learn, MLlib

Tensorflow, Sql, AWS, Pytorch, Python, Gcp, Spark, Scikit-learn

Hypothesis Testing, Pyspark, Sql, Nlp, Pandas, Databricks, Python, GenAI, optimisation methods, scikit-learn, sensitivity analysis, MLflow, cross-validation, causal inference techniques, model validation, Experimental Design, back testing

Sql, AWS, Deep Learning, Python, Azure, Machine Learning, MLops, Generative AI, MCP, MLflow, RAG, LLM applications