Java, Machine Learning, Data structures, Algorithms, Nlp, Python, Computer Vision, LLaMA, Generative AI APIs, Software engineering principles, OpenAI ChatGPT, R, Ai Development

Prompt engineering, Observability for AI systems, Cloud platforms, Function calling, Transformer architectures

Python, LangChain, Generative AI, Prompt engineering, LLMs, LangSmith, LangGraph, AI workflow orchestration, RAG, AI agents, Model optimization, AI ML frameworks

Node.js, React, MLops, Docker, Python, Kubernetes, LangChain, Generative AI, Backend Application Engineering, Go, Gradio, MLflow, SageMaker, Kubeflow, Vertex AI, CI/CD, Streamlit, LlamaIndex, RAG architectures

Git, Rest Apis, Python, Sql, RAG-based solutions, Embeddings, Vector Database, AI Agent or Tool Function Calling, AI assistants and agents, Vector Search, Prompt Engineering

Data Governance, Automation, Role-Based Access Control, Entity and Relationship Extraction, Knowledge Graphs, Microsoft Copilot Studio

Retrieval-Augmented Generation (RAG), Tensorflow, Nlp, Pytorch, MLops, Python, Computer Vision, LangChain, Classic ML modeling, LLMs, Model-serving and monitoring architecture, Pinecone, Vector Databases, AWS SageMaker, Llama, Vertex AI, Milvus, OpenAI

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

Terraform, Docker, Shell Script, Python, Google Cloud Platform, Sql, Kubernetes, Vertex AI