Large Language Models (LLMs), Java, Exploratory Data Analysis, Distributed Computing, Tensorflow, Nlp, Pytorch, Python, Data preprocessing, Cloud platforms, Chatbots, Recommendation systems, Feature engineering, R

vision-language models (VLMs), Computer Vision, Ocr, Python, detection, multi-agent frameworks, multimodal LLMs, large-scale visual data pipelines, multimodal APIs, Classification, GPU inference optimization, Segmentation, RAG, edge deployment, LLM agentic systems, function calling, model serving, video understanding

Rabbitmq, Deep Learning, Typescript, Kafka, Redis, Node.js, FastAPI, Python, Docker, Websocket, Pubsub, Arize, OpenAI, attention mechanisms, GRPC, Google ADK, LangSmith, Transformer architectures, Vector Databases, AutoGen, OpenAI Agents SDK, Anthropic, CrewAI, LangGraph

Databricks, Data Science, Python, Apis, Microsoft Azure, Machine Learning Engineering, Large Language Models, Data Pipelines, Software Engineering Principles, Generative AI, AI ML Engineering

.NET, Git, Azure Sql, RAG embeddings, Azure OpenAI Service, Azure AI Foundry, prompt engineering

Java, System Maintenance, Natural Language Processing, Google Cloud, Tensorflow, Pytorch, Azure, Python, Statistical Analysis, AWS, Computer Vision, Generative AI, Scikit-learn, Stakeholder Communication, Data Pipeline Development, Infrastructure Automation, Agentic AI, R, Collaboration, AI Model Deployment, AI Experimentation, Model Development Integration

Artificial Intelligence, Python, Generative ai

Distributed Systems, Python, cloud-native applications, scalable APIs, backend frameworks, enterprise integrations

Sql, BigQuery, Python, Deep Learning, Offline evaluation, Streaming data pipelines, AI coding assistants, Vector databases, Embedding-based retrieval, LLM-based tools

Gstreamer, Linux, Embedded Linux, Opencv, Opencl, Computer Vision, Cuda, TensorRT