Ayush Rai
@ayushrai02
I build LLM-powered applications, agentic workflows, and production-ready RAG systems.
What I'm looking for
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
Product Engineer / AI Product Lead
FoCDoT Technologies Pvt. Ltd.
Feb 2024 - Present (2 years 6 months)
Built and delivered LLM-powered applications, RAG systems, AI-assisted workflows, and evaluation pipelines for real operational use cases. Developed LLM evaluation and human-feedback workflows, agentic AI workflows, and backend services using Python, FastAPI, and vector retrieval.
Education
Degrees, certifications, and relevant coursework
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.
Availability
Location
Authorized to work in
Website
ayushrai.siteSocial media
Job categories
Skills
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