Python, Tensorflow, Machine Learning, Deep Learning, Neural Networks, Nlp, Computer Vision, Big Data, Data Analysis, Model Deployment

error analysis , Tensorflow, Pytorch, Docker, Python, LangChain, Evaluation metrics, pgvector, Qdrant, Statistical testing, Container orchestration, MLflow, Pinecone, LLM orchestration frameworks, API integrations, Cloud deployments, Vector search engineering, LlamaIndex, MLOps fundamentals

data engineering , Machine Learning, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Sql, Git, MLops, Azure, Feature Engineering, ML Pipelines, Model Evaluation, CI CD, Scikit-Learn, LangGraph, Model Deployment, ML Modelling, LangChain, CrewAI, LightGBM, AutoGen, Agentic AI

Node.js, Json, Javascript, Rest Apis, Python, LLMs, Agentic AI concepts and architectures, Kore.ai platform, Kore.ai XO10, Vector Databases, AI observability platforms, RAG, Prompt Engineering, Multi-agent orchestration

causal inference , Large language models (LLMs), Google Cloud Platform (GCP), Cloud Engineering, Machine Learning, Microsoft Azure, Predictive Modeling, Artificial Intelligence, Python, AWS, Scalable machine learning systems, Counterfactual methods, Research and experimentation, Data streaming pipelines, Retrieval-augmented generation, Real-time inference, Statistical machine learning, Transformer architectures, AI orchestration

Machine Learning, Nlp, Pytorch, Docker, Rest Apis, Kubernetes, Python, Hugging Face Transformers, RAG, vector databases

Numpy, Predictive Modeling, Pandas, Amazon Redshift, Python, Aws S3, Jupyter Notebooks, Feature Engineering, Scikit-learn, Traditional Machine Learning, Model Testing and evaluation

Python Programming, statistical signal processing, LLM RAG pipelines, ML algorithms, time-series modeling, anomaly detection

Nltk, Apache Spark, Tensorflow, Pandas, Pytorch, Gcp, Databricks, Azure, AWS, scikit-learn, mlflow, gensim