isolation), vLLM), Open-source LLMs (Ollama, Security fundamentals (auth, Cloud deployment, Docker, FastAPI, Python, LangChain, Re-ranking models, Vector databases, LangGraph, secrets, Voice AI pipelines, Hybrid search, CI/CD, RAG pipelines, Multi-agent systems, LlamaIndex

triton , Pytorch, Opencv, Python, Computer Vision, Multilingual transcription, Image and video processing pipelines, DINO, TensorRT, Speech Audio Processing, CLIP, Mask R-CNN, Noise handling, Librosa, Diarization, YOLO, Accent robustness, TorchServe, Vision Transformers, torchaudio, Model quantization

production deployment , Tensorflow, Pytorch, Python, Version Control, Application Architecture, System Design, Containers, orchestration technologies, AI ML applications, CI CD, observability tools, code review practices, evaluation frameworks, LangChain, operational monitoring, Documentation, deep learning frameworks, retrieval-augmented generation, Semantic Kernel, Production Support, agent development patterns, performance optimization, model APIs, cloud ML platforms, prompt orchestration, LlamaIndex

data engineering , Machine Learning, Deep Learning, Python, Tensorflow, Cloud Computing

Java, Docker, Node.js, Kubernetes, Python, DevOps practices and tools, Prompt engineering, Generative AI or LLM-based solutions

Github, Datadog, New Relic, Azure Functions, Docker, FastAPI, Python, Azure DevOps, Application Insights, LangChain, Pinecone, Azure OpenAI, Azure Container Apps, Semantic Kernel, AutoGen, OpenTelemetry, FAISS, Azure AI Studio, Azure AI Search, Weaviate, Azure Monitor

Docker, MLops, Etl, AWS, Python, Kubernetes, Azure, Gcp, Nlp, LLMs, Transformers, feature store, vector DBs, embeddings, data pipelines, RAG, prompt engineering

Retrieval-Augmented Generation (RAG), Tensorflow, Pytorch, Gcp, Data Warehousing, Azure, Python, AWS, LangChain, Generative AI, LLMs, Hugging Face Transformers, ETL/ELT Tools, LlamaIndex