record linkage , PostgreSQL, Deduplication, Sql, Numpy, Pandas, XGBoost, Python, phonetic encoding, classification models, scikit-learn, string similarity algorithms, edit distance, entity resolution, sequence matching, feature engineering, shingling

Tensorflow, Pytorch, Docker, Kubernetes, PEFT, DeepSpeed, LLMs, Hugging Face, AWS GPU Infrastructure, Attention Mechanisms, Vector Databases, NLP Tooling, LoRA, Transformers, Seq2Seq Architectures, QLoRA

record linkage , PostgreSQL, Deduplication, Sql, Numpy, Pandas, XGBoost, Python, phonetic encoding, classification models, scikit-learn, string similarity algorithms, edit distance, entity resolution, sequence matching, feature engineering, shingling

Ml, Java, BigQuery, Deep Learning, Tensorflow, Nlp, Cloud, Gcp, Pytorch, Python, LangChain, LLMs, Vector DBs, GPT, OpenAI libraries, Azure AI Foundry, Synapse, Chroma, FAISS, AWS SageMaker, Vertex AI, BERT

Python Programming, Restful Apis, Microservices, LLMs, RAG, prompt engineering

Hadoop, Apache Spark, Deep Learning, Gcp, Data Visualization, Azure, Python, AWS, LLMs, GenAI models, ensemble methods, R, advanced machine learning techniques

Tensorflow, Numpy, Pytorch, Python, AWS, Unsupervised Learning, Clustering, Sql, Deep Learning, Gcp, Pandas, Azure, HuggingFace, Vector Databases, Embeddings, Classification, Llama Index, Azure Open AI, Vertex AI, BERT, Time Series Modeling, LangChain, Regression, supervised learning, FAISS

snowflake , Ml, Data Science, AWS, Python, Azure, Gcp, Nlp, multi-agent systems, LLMs, Claude, Snowpark, DL, Ai, RAG, Agentic AI, DeepSeek, prompt engineering, Generative AI

Sql, Databricks, Clustering, Pyspark, AWS, Python, Azure, Predictive Modeling, Classification, time series forecasting, Regression, anomaly detection, traditional machine learning

Github, Pyspark, Big Data Technologies, Data Governance, Azure, Python, AWS, Airflow, LLMs, RAG frameworks, prompt engineering, R, Agentic AI, Dagster, Kedro, ML frameworks