Python, Azure DevOps, BM25, semantic search, pgvector, Vector databases

Machine Learning, Natural Language Processing, Deep Learning, Vector Databases, Knowledge Graph-Based RAG, Generative AI, Large Language Models, Retrieval-Augmented Generation

FastAPI, automation, Python, AWS, LangChain, observability principles, LLMs, Gunicorn, cloud platforms, vector databases, Pinecone, observability tools, MLOps practices, OpenTelemetry, LlamaIndex, containerised deployments, RAG architectures

Maven, PostgreSQL, Kafka, Tensorflow, Numpy, Pytorch, Docker, Azure Sql, Rabbitmq, Jenkins, Django, Git, Gradle, Pandas, Storage, microsoft azure devops, Databricks, Kubernetes, Key Vault, Python Programming Language, GitHub Actions, Application Insights, Microsoft Azure App Service, AKS

Tensorflow, Pytorch, Docker, Python, Kubernetes, LLMs, ML algorithms, Lang Chain, prompt engineering

Automation, Machine Learning, intelligent systems, Data Pipelines

Pytest, Kubernetes, Python, Docker, LlamaIndex, Ragas, Deterministic vs AI systems, Azure OpenAI, AI Evaluation, LangSmith, CI CD, DeepEval, Guardrails, RAG Vector DB, LangChain, NeMo Guardrails, pgvector, AI Llama Guard, LLM OpenAI, FAISS

Kubernetes (AKS), Machine Learning, Python, Pyspark, Azure Machine Learning, Databricks, Github, Sonarqube, AI Engineering, CI/CD, GitHub Actions

API security, Microservices, Numpy, Pandas, Docker, Flask, FastAPI, Azure, Kubernetes, Python, AWS, scikit-learn, Pinecone, RAG design, CI CD, prompt engineering, Semantic Kernel, LangGraph, FAISS, Azure AI Search, event-driven design

Tensorflow, Pytorch, Machine Learning, Deep Learning, Nlp, Data Analysis