Sql, Git, Docker, RESTful API development, Kubernetes, prompt optimization strategies, harness engineering, data science modelling, vector databases, web frameworks, Generative AI techniques, embedding techniques, full-stack development, LLM concepts, context engineering techniques, AI agent frameworks

Deep Research agents, Tool-use architectures, Agent harness engineering, Reasoning-based agent design, MCP Model Context Protocol, Agent execution orchestration systems, Transformers, RAG, Multi-agent architectures, Autonomous agent workflows, Complex research workflows, ReAct agents

Databases, Apis, React, Git, Typescript, Python, embeddings, vector search, tool calling, cloud platforms, Azure OpenAI, Next.js, OpenAI, Amazon Bedrock

production development , Debugging, Python Programming, Testing, Version Control, Apis, Databases, LLM applications, function calling, root-cause analysis, tool calling, prompting, structured outputs, AI agents, RAG, model evaluation, workflow orchestration, context management

Jax, Pytorch, Python, Inference Serving, LLaMA, LLMs, Qwen, OpenAI APIs, Vector DBs, vLLM

Javascript, Node.js, Automation, Python, LLM-powered workflows, LLM APIs, RAG, AI agents, Claude, OpenAI, Prompt design

Java, Python, ASR speech technologies, Transformer, Prompt engineering, workflow orchestration, Conformer, Deep Learning architectures, MNN, ONNX, ONNXRuntime, NCNN, RNN-T, large-model API integration, TFLite, RAG, BERT, LLM frameworks

Javascript Frameworks, Software Development, Apis, Containerized environments, Full-Stack Development, Front-End Development, Observability tools, Data pipelines, Back-End Web Development, Machine learning models