
Devesh User
@deveshuser
I build reliable LLM systems, RAG pipelines, and AI backend services.
What I'm looking for
I'm building LLM-powered backend systems and AI agents that turn complex inputs into reliable, useful outputs.
At ATGWorld Networks, I built the FastAPI-based Interview Evaluator for Vidya AI, using Google Gemini to convert interview transcripts into readiness scores and skill breakdowns. I also integrated Pinecone for transcript retrieval and persistent evaluation storage.
I traced and fixed a critical data-loss issue across model output, schemas, and backend payloads, restructuring validation for reliable data flow. I also designed a tiered backend engineering roadmap built around real projects, AI pair programming, and human-in-the-loop review.
My projects include Cascade AI, a multi-agent orchestration system with persistent Firestore memory and self-healing fallbacks; a GAIA benchmark agent that achieved 60% accuracy; and a research-paper RAG chatbot grounded in Qdrant-stored semantic embeddings.
Experience
Work history, roles, and key accomplishments
A.I Developer Intern
ATGWorld Networks
May 2026 - Present (4 months)
Built and integrated a FastAPI backend service for Vidya AI's interview platform using Google's Gemini AI model to convert interview transcripts into structured evaluation data. Diagnosed and resolved a critical data-loss bug and designed a tiered backend engineering training roadmap.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science & Engineering, AI & ML Specialization
2022 -
Pursuing a Bachelor of Engineering in Computer Science with a specialization in AI and ML.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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