Tensorflow, Numpy, Pandas, Pytorch, Keras, Python, Sql, Scikit-learn

Tensorflow, Git, Pytorch, Gcp, Docker, Python, AWS, LangChain, LLMs, LangGraph, vector DBs, RAG, CI-CD

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

RAG Retrieval-Augmented Generation, Claude LLM Integration, AWS SageMaker, AI ML Workload Optimization, Agent Core, Amazon Bedrock, Data Architecture for AI ML

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

Docker, Kubernetes, Performance Tuning, LLM fine-tuning, Feature Engineering, AI algorithms, CI CD pipelines, ETL ELT pipelines, vector databases, Retrieval-Augmented Generation

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

data engineering , Machine Learning, MLops, Azure, Sql, Python, AWS, GenAI LLMs, LLMOps, Agentic Workflows

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