Tensorflow, Pytorch, AI and Machine Learning algorithms, RAG neural networks, AI ML frameworks

containerization , Java, Version Control, Microservices, Angular, Vue.JS, React, Agile, Api, Python, GenAI, Ai, CI CD, prompt engineering, AWS AI, Google Vertex AI, LLM integrations, automated deployments, Azure AI, RAG pipelines

data engineering , Deep Learning, Tensorflow, Nlp, Gcp, Pytorch, Computer Vision, Docker, Opencv, Azure, Kubernetes, Python, AWS, CI CD integration, pipeline automation, MLOps practices, model monitoring tools

Logging, Flask, Python, Databases, Apis, FastAPI, Memory, Reasoning, LLM integration, prompt chaining, vector databases, LangGraph, multi-agent workflows, Agentic AI concepts, guardrails, LangChain, tool usage, tool function calling, Monitoring, prompt engineering, enterprise systems, planning, AI agents, Responsible AI, Governance

pruning , Tensorflow, Pytorch, Keras, Python, INT8, TensorRT, Quantization, FP32, TVM, ONNX, FP16, Knowledge Distillation, OpenVINO, Embedded Systems

Sql, Python, LangChain, embeddings, RAG architecture, SLM APIs, vector databases, Anthropic, LangGraph, AutoGen, LLM APIs, GCP Vertex AI, memory systems, IBM WatsonX, OpenAI, Cohere, LlamaIndex

Nlp, Docker, Rest Apis, Kubernetes, GenAI, langgraph, Plotly, stable diffusion, Instruct pix2pix, Llm, Autogen, Dash, Streamlit, Agentbuilder, latent diffusion models

Rest Apis, Python, Microservices, Embeddings, AWS Bedrock, LLMs, Cloud Native Design Patterns, Prompt Engineering, RAG Patterns

Python, LangChain, embeddings, pgvector, Qdrant, LLM integration, vector databases, Pinecone, gRPC APIs, LangGraph, agentic workflows, prompting, Weaviate, retrieval pipelines, LlamaIndex, function calling, RAG architectures

Summarization, Apis, Tensorflow, Nlp, MLops, Pytorch, Gcp, Docker, Python, AWS, LangChain, LLMs, Hugging Face, Ai, Classification, spaCy, document understanding, NER, LlamaIndex, RESTful ML services