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

simulation modeling , Gcp, Databricks, Azure, Sql, Python, Optimization Techniques, LLM-based applications, time-series forecasting

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

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

textual analysis , Machine Learning, Keras, Natural Language Processing, MLops, Pytorch, Hive, Tensorflow, Spark, LLMs, API service development, cloud AI ML skills, orchestration tools, Prompt Engineering, vector databases, Generative AI frameworks, dialog systems, recommendation systems

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