Tensorflow, Automation Tools, Pytorch, Python, GenAI tools, data preprocessing, scikit-learn, LLM integration, API-based deployment, prompt engineering, GenAI integration, workflow automation, ML pipelines, ML model development, feature engineering, model experimentation

Neural network frameworks, Generative AI, Conversational AI systems, Image processing techniques, Deep learning architectures, Chatbots

Prometheus, Grafana, Tensorflow, Cloudwatch, Pytorch, Docker, AWS ECS, AWS CodePipeline, Rest Apis, Python, Scikit-learn, vector databases, Pinecone, GRPC, async job processing, GitHub Actions, OpenTelemetry, FAISS, CI CD pipelines

Apis, Docker, FastAPI, Python, Kubernetes, Multi-Agent Communication, enterprise engineering tools, cloud platforms, MCP Servers, Enterprise Connectors, Workflow Engine, VS Code integrations, Agent SDK, Shared Prompt Library

Tensorflow, Machine Learning, Pytorch, Docker, Api Development, Python, AI system design, Scikit-learn, NLP concepts, RAG architectures

spatial data , Computer Vision, MLops, XGBoost, Databricks, Python, time-series methods, data pipelines, classical ML fundamentals, ONNX, model evaluation, quantization

Tensorflow, MLops, Pandas, AWS, Pytorch, Python, Azure, Gcp, Apis, Computer Vision, Nlp, Spark, Agentic AI, GitHub Actions, LLMs, LlamaIndex, MLflow, MCP-based architectures, LLM frameworks, vector stores, Scikit-learn, RAG, LangChain, vector embeddings