data engineering , Python, Computer Vision, ETL processes

data preparation , Python, Sql, Data Processing, Git version control, AI ML model development, ML frameworks, feature engineering, cloud AI ML services

Json, Automated Testing, Debugging, Python, Apis, Sql, Git, Logging, embeddings, tool schemas, document ingestion, data pipelines, chunking, AI coding tools, retrieval, context assembly, state handling

Automated Testing, Application Monitoring, Celery, Python, AWS, Version Control, Redis, Sql, Data Governance, Containers, FastAPI, Azure, GenAI, Privacy, cloud-native delivery, asynchronous processing, CI CD, LangGraph, responsible AI, Azure Service Bus, Security, workflow automation, RAG pipelines, LLM solutions, LangChain, document intelligence, infrastructure-as-code, AI agents, LlamaIndex

data engineering , Machine Learning, Software Engineering, system integration, Application Architecture, Rest Apis, Python, Generative AI technologies, Ai

data engineering , traceability , Databricks, Azure, GenAI, data pipelines, model training, LLMOps, GenAI Observability, cloud platforms, Ai, Statistics, Explainability, ML models, AI architecture, Llm, finetuning, ethical AI practices, regulatory frameworks, Anthropic models, OpenAI

Java, Golang, Api Integration, Microservices, Distributed Systems, Python, C++, LangChain, CrewAI, multi-agent systems, embeddings, LLMs, planning algorithms, vector databases, reinforcement learning, GRPC, prompt engineering, Semantic Kernel, retrieval systems, AutoGen, real-time data processing, orchestration patterns, sensor-driven systems, decision engines

Java, Hadoop, Apis, Scala, Impala, Sql, Predictive Analytics, Hive, Spark, Amazon Aws, Cloudera, Databricks, Python, Airflow, Containerized workloads, Machine learning systems, CI/CD pipelines, Big Data products, Modern data platforms, NiFi, Advanced Statistics, Cloud-native services

Jax, Pytorch, Machine Learning, Python, OpenAI-style APIs, Inference systems, Vector DB, LLMs, LLaMA, Training loops, Neural network architectures, Qwen, Model orchestration, Data pipelines

Retrieval-Augmented Generation (RAG), Apis, Microservices, Docker, Gitlab, Microsoft Azure, Azure Machine Learning, Kubernetes, Python, Knowledge Retrieval Systems, AI Agents, Azure OpenAI Service, Azure AI Document Intelligence, Azure AI Language Services, Azure AI Foundry, Vector Databases, semantic search, Azure AI Search, Prompt Engineering, Metadata and indexing strategies, Cloud-native application development, CI/CD pipelines, Data pipelines, Document repositories, Software engineering principles, Structured and unstructured data