object detection , Tensorflow, Deep Learning, Pytorch, Python, AWS, Ci, Git, Computer Vision, Gcp, Opencv, Azure, SAM, TensorRT, ONNX, OpenVINO, recognition models, multimodal AI, AI systems engineering, Faster R-CNN, DETR, cd, LLMs, cloud platforms, YOLO, inference optimization, edge AI deployments

Python, CrewAI, Failure handling strategies, Context engineering, Agentic Systems, Fine-tuned LLM systems, Agent orchestration, Agent decision loops, Memory Design, Production-grade RAG architectures, Design trade-offs, LangGraph, Multi-agent coordination, Context management, Trust-centric AI systems, Tool-calling systems, Knowledge Graph–driven AI, Google ADK, Agentic architectures, Decision intelligence, Evaluation frameworks

Memory Management, Python, LangChain, orchestration frameworks, LangGraph, tool-calling RAG pipelines, multi-agent coordination, MCP servers, API integrations

Python, LangGraph, OpenAI API, Generative AI, Prompt engineering, Langchain, AI Agents, RAG, Retrieval Augmented Generation, Large Language Models, LLM tuning

Databases, CrewAI, agentic AI frameworks, Execution, LangChain, LLMs, Reasoning, task planning, AutoGPT, OpenAI APIs, external APIs, enterprise tools

FastAPI, Keras, Pytorch, Tensorflow, Celery, LangChain, Uvicorn, Streamlit, Prompt Engineering, Hugging Face, Agentic AI frameworks, LangGraph

React, Python, CrewAI, LangChain, multi-agent systems, production AI agents, long-running workflows, async streaming, structured output patterns, agent frameworks, AutoGen, LangGraph, Plan-and-Execute, LLM tool-use, function calling, agent architectures

Github, Rest Apis, Python

Python, LangChain, REST API Integration, RAG Retrieval Augmented Generation, LLM Application Development, AutoGen or equivalent, Prompt Engineering, Agentic Multi-step AI Workflows, AI Telemetry Monitoring