Python, LLM fine-tuning, third-party APIs, prompt-based systems, ML tooling, RAG pipelines

Numpy, Machine Learning, Pandas, Data Visualization, Python, Sql, Statistics

Model Context Protocol (MCP), Api Integration, Distributed Systems, Python, LangChain, CrewAI, LLMs, LLaMA, knowledge graphs, A2A Agent-to-Agent messaging, vector databases, Anthropic, Pinecone, LangGraph, AutoGen, Mistral, Milvus, cloud-native architectures, OpenAI, RAG pipelines, observability and monitoring for AI systems, Weaviate

containerization , Machine Learning, Orchestration, Sql, Deep Learning, Nlp, Python, Computer Vision, Generative AI, LLMs, Neural Network Architectures, Prompt Engineering

Machine Learning, Nosql, Tensorflow, Pytorch, Python, Java, Recommender Systems, Hadoop, C++, Natural Language Processing, Scala, Sql, Git, Spark, Data Warehousing, Computer Vision, a/b testing, scikit-learn, RNNs, TensorRT, Ray, Flink, DNNs, vLLM, ONNX Runtime, Transformers, Federated Learning

Java, RDBMS, Data Warehouse, Python, Sql

Computer Vision, Tensorflow, Opencv, Pytorch, Gcp, Git, Flask, PostgreSQL, Machine Learning, AWS, FastAPI, Python, Azure, Docker, Apis, MongoDB, LangChain, LLMs, Hugging Face, CrewAI, DVC, LangGraph, TensorRT, ONNX, MLflow, Google ADK, GPU-based model training, OpenAI Agents SDK, Weights Biases, Agentic AI

probability , Exploratory Data Analysis, Numpy, Git, Pandas, Python, Data preprocessing, Scikit-learn, Statistics, Jupyter Notebook, Feature engineering, supervised learning, Clustering algorithms, Visualization libraries, Model evaluation

data preparation , model development , Machine Learning, Data Modeling, Neural Networks, Clustering, Sql, Deep Learning, MLops, Python, AWS, Generative AI, Cloud-based ML platforms, AI Agents, Gradient Boosting, Regression, Vector Search, Embeddings, Ensemble Methods, Classification, RAG, Data Analysis, Prompt Engineering