Machine Learning (ML), Neural Networks, Image Processing, Natural Language Processing, Production-quality AI pipelines, Deep learning techniques, Chatbot development frameworks, Generative AI models

Tensorflow, Numpy, Git, Pandas, Pytorch, Gcp, Docker, FastAPI, Azure, Python, AWS, LangChain, scikit-learn, Qdrant, vector databases, Pinecone, async, LangGraph, Chroma, FAISS, RAG, Milvus, Weaviate

Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, vector databases, embedding models, MLflow, Monitoring, MLOps practices, Statistical Modeling, semantic search architectures, drift detection, CI CD for ML, automated retraining

Nlp, Pytorch, Python, Prompt engineering, RAG architecture, transfer learning, production AI solutions, Hugging Face, LLM fine-tuning techniques, model deployment, PEFT adapters, LoRA, Transformers, LLM orchestration, Transformer architectures

Orchestration, C#, C++, Deep Learning, Numpy, Pytorch, Pandas, Decision Trees, Clustering, Python, Etl, LangChain, embeddings, vector search, agentic AI, tool calling, retrieval-augmented generation, CNNs, prompt engineering, LangGraph, ensembles

Sql, FastAPI, Python, LangChain, AWS Bedrock, NL-to-SQL, vector databases, Pinecone, LangGraph, FAISS, Pydantic, RAG solutions, ChromaDB, AWS AgentCore