Vector databases (Pinecone, FAISS), Large Language Models (LLMs), Neural Networks, Nlp, MLops, Python, LangChain, Prompt engineering, Diffusion Models, Model versioning, RoBERTa, ML models, GPT, Hybrid architectures, Embeddings, Transformers, Data pipelines, Generative AI models, Evaluation frameworks

Pyspark, Machine Learning, Hive, Python, Statistical Analysis, Sql, Generative AI, AI-powered applications, LLMs

Data Science, Pyspark, Databricks, Azure, Python, Sql, Deep Learning, AWS, Statistics, Life Sciences Data, Unsupervised ML, Supervised ML

object detection , Machine Learning, Pyspark, Sql, Deep Learning, Docker, Kubernetes, Ocr, Python, Computer Vision, LLMs, Geospatial models, Facial recognition, Cloud environments, Statistical Modeling, ML pipelines, Real-time data processing frameworks, RAG architectures, Time-series forecasting

Text Analytics, Tensorflow, Numpy, Nlp, Nltk, Pytorch, Excel, Python, Power Bi, Sql, Pandas, Spark, Databricks, knowledge graphs, pgvector, scikit-learn, vector databases, evaluation frameworks, Streamlit, RAG pipelines, SpaCy, LLMs, prompt engineering, Agentic AI, FAISS, feature stores, knowledge databases, embeddings

Docker, Kubernetes, Python, Advanced retrieval search systems, LLM-powered applications, Agentic patterns, ML engineering, AI applications, Feature engineering

, Sql, Deep Learning, AWS, Pytorch, Data Manipulation, Python, Azure, Gcp, Big Data, Speech NLP, Statistics, experimentation, GPU Computing, Modeling, Generative AI

SAS, Sql, Spark, Python, R

AI & Data Analytics, snowflake , Python, React, AWS, Llm