EXPLORE MY
BUILDING PRODUCTION-GRADE MULTI-AGENT SWARMS, RAG PIPELINES, AND INTELLIGENT AI SYSTEMS.
DIVYANSH TRIVEDI
AI Engineer | Generative AI | Agentic Systems
+91-9555448088
BUILDING PRODUCTION-GRADE MULTI-AGENT SWARMS, RAG PIPELINES, AND INTELLIGENT AI SYSTEMS.
COMPUTER SCIENCE & AWS CERTIFIED CLOUD PRACTITIONER. SPECIALIZING IN MULTI-AGENT SWARMS WITH LANGGRAPH, RAG PIPELINES WITH CHROMADB, AND SCALABLE LLM SYSTEMS FOR PRACTICAL RESEARCH & CONTENT INTELLIGENCE.
BACKGROUND & VISION
SCROLL TO EXPAND
AWS Certified Cloud Practitioner and AI Engineer architecting autonomous multi-agent systems and RAG pipelines.
Computer Science foundation with AWS Certified Cloud Practitioner and intensive mastery of Python, LangChain, RAG pipelines, and vector databases.
Building practical AI solutions as an AI Engineer. Specializing in autonomous multi-agent coordination, automated reflection/critic loops, multilingual speech RAG, and containerized cloud deployment.
Synthesizing solid computer science theory, cloud architecture, and production-grade agentic AI systems.
AWS Certified Cloud Practitioner
Amazon Web Services
Python Programming (100 Hours)
Infosys Springboard
MySQL Certification
HackerRank
Database Programming with SQL
Oracle Academy
Hands-on focus in building practical AI solutions, autonomous multi-agent pipelines with LangGraph, and enterprise-grade contextual RAG systems.
LangGraph agentic research swarms, multimodal video RAG engines, and cloud microservices.
Architectural deep dives into multi-agent protocols, business intelligence analytics, and cloud stacks.
BUILDING RELIABLE, SCALABLE, AND INTELLIGENT AI SYSTEMS ENGINEERED FOR REAL-WORLD ENTERPRISE WORKFLOWS AND DATA REASONING.
Autonomous multi-agent orchestration using LangGraph and LangChain. Designing specialized agent swarms (Search, Reader, Writer, Critic), tool calling, and automated reflection feedback loops.
Contextual question-answering over multimedia documents, YouTube video transcripts, and proprietary knowledge bases using ChromaDB, Hugging Face embeddings, and OpenAI/Mistral LLMs.
Production-grade AI applications with interactive Streamlit interfaces, FastAPI/Python backend services, Docker containerization, and AWS cloud deployment.