data engineering , Machine Learning, Natural Language Processing, Algorithm Design, Deep Learning, MLops, Generative AI, LLMs, Python Programming Language, RAG fine-tuning, Cloud Platforms, AI Ethics, Statistical Modeling, AI agents, NLP embeddings

RAG (Retrieval-Augmented Generation) architecture, GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Data Structures And Algorithms, Python Programming, LLMs, Autoregressive models, SLMs, Model finetuning, AI accelerator chips, Transformer-based networks, Generative AI architectures, MLOps practices, Modern AI frameworks

Machine Learning, Deep Learning, MLops, Data Profiling, LangChain, Generative AI, Feature Engineering, LLMs, AI Agent Frameworks, GenAI Applications, LangGraph, RAG, OpenAI Gemini, Prompt Engineering

Spark SQL, Machine Learning, Pyspark, Microsoft Power Bi, Azure Databricks, Numpy, Pandas, MLops, Databricks, Python, Complex SQL, Azure ML Studio, Scikit-Learn, Statistical Modeling

data engineering , snowflake , Machine Learning, Pyspark, Tensorflow, Numpy, Pytorch, Docker, XGBoost, Microsoft Azure, Python, AWS, Google Cloud Platform, Sql, Cloud Technologies, Git, Pandas, Databricks, FastAPI, Rest Apis, Kubernetes, Feature Engineering, Model Evaluation, MLflow, SHAP, LightGBM, Scikit-learn, Data Analysis, CatBoost

Pyspark, Tensorflow, Numpy, Nlp, Pytorch, Docker, XGBoost, Python, AWS, Scipy, Clustering, Sql, Git, Hive, Pandas, Gcp, Keras, Azure, Computer Vision, Random Forests, MLflow, Gradient Boosting, GLMs, R, Kubeflow, Vertex AI, EconML, BERT, LightGBM, Scikit-learn, DoWhy, SageMaker

Machine Learning, Apis, Python, GenAI, AI ML Models, RAG Models, Model Deployment, Ai, Lang Chain, Llm

Machine Learning, Natural Language Processing, Python, Deep Learning, Generative AI

Nlp, Git, Python, Sql, Gcp, Azure, AWS, LLM fine-tuning

snowflake , Machine Learning, Pyspark, Tensorflow, Numpy, Pytorch, Docker, XGBoost, Microsoft Azure, Python, AWS, Google Cloud Platform, Sql, Git, Pandas, Databricks, FastAPI, Rest Apis, Kubernetes, Data Cloud Platforms, MLflow, CI CD, Cloud-based model deployment and monitoring, Automated ML pipelines, Model registries, SHAP, LightGBM, Scikit-learn, CatBoost