Golang, Devops Automation, Docker, Kubernetes, LLM APIs, Git workflows, AI coding tools, CI/CD, AI agents, SDLC automation

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

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

Kubernetes), Containerization (Docker, GCP), Cloud platforms (AWS, Machine Learning Algorithms, Azure, GPU optimization, High-performance computing, Embeddings, Fine-Tuning, Deep learning frameworks, CI/CD practices

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

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