Kubernetes, python, Natural Language Processing, Docker, Deep Learning, Cloud Infrastructure, Tensorflow, Pytorch, langgraph, ml evaluation, generative ai, Llm, langchain, embedding, rag, Statistics, ai multimodal, vector database, ai agent system

text classification , Data Cleaning, Svm, XGBoost, Python, GenAI, embeddings, fine-tuning, LLM usage, cross-validation, Training, prompt engineering, Agentic AI, NLP techniques, feature engineering

Machine Learning, PYTHON, Technology, LLMOps, AI-Data science, AI-AI Engineering

Tensorflow, Linux, Rest Apis, Pytorch, Git, FastAPI, Python, Kubernetes, Docker, Generative AI, vLLM, Prompt Engineering, Llama, Fine-Tuning LLMs, LangChain, Pinecone, Embeddings, DeepSeek, CI CD pipelines, Mistral, Ollama, LangGraph, Milvus, ChromaDB, Scikit-learn, Retrieval-Augmented Generation RAG, Hugging Face Transformers, Vector Databases, Qwen, FAISS

Databases, API design, Distributed Systems, Python, LangChain, CrewAI, LLMs, AutoGen, backend architecture, Evaluation, guardrails, LLM orchestration, LlamaIndex

Ml, Python, AWS, Tensorflow, Keras, Ai, AWS Bedrock, scikit-learn, Llm

Keras, Sql, Pytorch, Java, Python, Tensorflow, R, scikit-learn

Gitlab, Sql, Tensorflow, Pandas, Pytorch, Gcp, Git, XGBoost, Github, Numpy, AWS, Kubernetes, Python, Azure, Docker, Jenkins, Airflow, GitLab CI, scikit-learn, CoreML, Neptune.ai, TensorRT, GitHub Actions, MLflow, LightGBM, TensorBoard, TFLite

RAG, Python programming language, AWS AI ML services ecosystem, FAST APIs, Machine Learning architectures