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Ayush RaiAR
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Ayush Rai

@ayushrai02

I build LLM-powered applications, agentic workflows, and production-ready RAG systems.

India
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What I'm looking for

I'm looking to build production AI products where I can turn ambiguous use cases into reliable LLM, RAG, and agentic workflows, while owning architecture, implementation, evaluation, and iteration.

At FoCDoT Technologies, I build and deliver LLM-powered applications, RAG systems, AI-assisted workflows, and evaluation pipelines for real operational use cases.

I've designed retrieval-augmented generation pipelines, agentic workflows, and backend integrations using Python, FastAPI, REST APIs, vector retrieval, and structured data pipelines. My work spans architecture, implementation, testing, deployment, iteration, and translating ambiguous AI use cases into production-oriented systems.

In my Adaptive RAG project, I built an agentic research system that routes queries across document retrieval, web search, and LLM reasoning using LangGraph, Qdrant, MongoDB, FastAPI, and Streamlit.

I also built RevenueRoles, a production AI-powered intelligence platform that turns unstructured job data into verified, deduplicated role intelligence through Next.js, TypeScript, FastAPI, PostgreSQL, Supabase, and asynchronous workflows.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

LS

Lakshmi Narain College of Technology and Science

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: 8.47/10

Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a GPA of 8.47 out of 10.

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