adobe target , optimizely , Tableau, Adobe Analytics, Python, Google Optimize, R

Numpy, Pandas, Gcp, FastAPI, Azure, Python, AWS, GenAI, embeddings, LLMs, prompt engineering, RAG

Python, LangChain, LLMs Prompt Engineering, Custom Guardrails, Vector Embeddings Semantic Search, MLflow, Multi-Agent Orchestration, LLM Evals, LangSmith, LangGraph, AI Observability Tools, RAG, Agent Engineering

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

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

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

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

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