Java, Node, Typescript, Python, Git workflows, agent orchestration patterns, Go, model routing, Mobile, MCP and SDK-based integrations, CI CD, context engineering, Cost Optimization, testing strategies, modern agentic IDEs, prompt design, LLM mechanics, evals

Python, CrewAI, LangGraph, Building pipelines for structured and unstructured data, RAG-like architectures, Vector databases, ADK, Multi-agent systems

Google Cloud Platform (GCP), Large Language Model (LLM)-native metrics, Python, LangGraph, Evaluation pipelines, Observability frameworks, Vector databases, Multi-agent systems

Pytorch, Python, multi-GPU sharding, TensorRT-LLM, SAM, open-weight foundation models, agentic AI, Hugging Face ecosystem, LLMs, quantisation, Grounding DINO, SGLang, vLLM, DINOv2, Distillation, VLMs, large vision models, MCP

Java, Node, Typescript, Python, Git workflows, agent orchestration patterns, Go, model routing, Mobile, MCP and SDK-based integrations, CI CD, context engineering, Cost Optimization, testing strategies, modern agentic IDEs, prompt design, LLM mechanics, evals

Retrieval-Augmented Generation (RAG), Spring Boot, Angular, Microservices, React, Typescript, Javascript, Docker, Python, AWS, Java, Node.js, Google Cloud, Cloud Applications, Git, FastAPI, Restful Apis, Azure, Kubernetes, Context Engineering, RAG pipelines, AI agent frameworks, Generative AI, LLMs, DevOps practices, Agent Harness frameworks, CI/CD pipelines, AI agents, Prompt Engineering

DevSecOps, Python, AWS, testing strategies, observability

Javascript, Python, Integrations, LLM-powered solutions, Production Systems, AI solutions