Java, Kafka, Spring Boot, Datadog, Redis, Postgres, Helm, Kubernetes, AWS, LangChain, LangGraph, Temporal

Orchestration, Power Platform, Classical statistics, Tool Function Calling, Generative AI, ML feature engineering, Vector Search, AI applications, structured outputs, model evaluation, Agentic AI, failure handling, Embeddings, experimentation, RAG, Azure AI services, Prompt Engineering, Copilot Studio

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

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

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

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

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