Api Development, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, LangChain, Airflow, Prompt engineering, Model deployment, Scikit-learn, Hugging Face, MLflow, Kubeflow, MLOps tools, LLM frameworks, Data workflows, LlamaIndex, ETL pipelines

Machine Learning, Git, Docker, Pyspark, Python, Sql, DataFrame APIs

Tensorflow, Numpy, Pytorch, Docker, XGBoost, Python, Pandas, MLops, Azure Machine Learning, scikit-learn, vector databases, Azure AI Foundry, LangGraph, Azure AI Search, Application Insights, LangChain, experiment tracking, RAG architecture, LLMOps, Azure OpenAI Service, LightGBM, embedding models, Semantic Kernel, CI/CD pipelines, Azure AI Content Safety, Azure App Service Functions

software engineering practices , Microservices, Python, Apis, MLops, architecture patterns, cloud-native development, AI architectures, DataOps, LLMOps, prompt engineering

Cosmos DB, SQL Server, Github, Logging, Ocr, FastAPI, Kubernetes, Python, Docker, PostgreSQL, Microsoft Azure, Azure DevOps, agentic systems, Responsible AI, AI-enabled automation, document intelligence, Monitoring, observability

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

Azure, Sql, AWS, Java, Python, Docker, Gcp, Git, Pyspark, Machine Learning, MLops

Sqlalchemy, API security, PostgreSQL, Rabbitmq, Django, Sqlite, Flask, FastAPI, Python, Django ORM, LangChain, AI ML development, document extraction, langFuse, large-scale RAG systems, Cloud Data Warehouses, OCR pipelines, langSmith, RAG methodologies, LangGraph, Java Spring Boot, fine-tuning LLMs

Retrieval-Augmented Generation (RAG), Azure Cloud Services, Python, Azure Functions, Asynchronous programming, LangChain, CrewAI, AutoGen, GitHub Copilot, Qdrant, Azure AI Search, Pinecone, LlamaIndex, Azure AI Foundry, Azure Container Instances, Vector databases, Azure App Services, Cloud-native AI, Object-oriented design

Tensorflow, Unsupervised Learning, Kafka, Machine Learning, Deep Learning, Pytorch, XGBoost, Distributed Systems, Python, Kubernetes, Docker, Spark, scikit-learn, ML ecosystem, gradient boosting, Flink, containerisation, LLM APIs, clean code, MLflow, embedding-based systems, ClickHouse, supervised learning, LightGBM, model evaluation, RAG architectures, gRPC APIs, prompt engineering