---
title: "Ayush Singh - Trainee in Pune District | Tal"
description: "Meet Ayush Singh, Final Year AI Undergrad | Building Production LLM Systems | GenAI · RAG · FastAPI · PyTorch based in Pune District. AI stack includes antigravity, claude code, and hugging face. Explore public work links including github and medium."
image: "https://tal.club/meet/ayush-singh-9/share-image"
---

# Ayush Singh on Tal

## Headline

Final Year AI Undergrad \| Building Production LLM Systems \| GenAI · RAG · FastAPI · PyTorch

## About

I am an AI & Data Science student focused on LLM safety, evaluation, and reliability the question of how we actually know a model is behaving as intended\. Most of what I know I learned by building and stress\-testing systems, not just reading about them\. What I have built and shipped over the past year: 🔹 FIE — an open\-source LLM guardrail \(PyPI SDK, 7,500\+ downloads, deployed on GCP\) that flags prompt injection and jailbreaks on CPU in \~48 ms\. While benchmarking it, I found that \~52% of JailbreakBench had leaked into common training data, built a decontamination pipeline across 8 benchmarks, and re\-reported an honest held\-out recall of 86%\. Documented in two technical papers \(with DOIs\)\. 🔹 ARIA — an agent\-reliability framework that diagnoses why an agent fails, not just whether it did \(91\.2% failure\-detection precision on GAIA Level 1\)\. 🔹 A dyslexia early\-screening system \(ResNet\-50 \+ OCR \+ Grad\-CAM, 84\.9% ROC\-AUC\) and a multilingual mental\-health assistant supporting 14 Indian languages with RAG and voice\. These aren't separate side projects — they are one direction I care about: making LLM systems reliable end to end\. Detect when a model fails \(FIE\), diagnose why \(ARIA\), and prevent bad outputs before they reach a user\. I enjoy working across the full AI stack model development and evaluation, APIs, and deployment\. Tech: Python, PyTorch, FastAPI, LangChain/LangGraph, RAG, FAISS, Docker, GCP, React, MongoDB Currently looking for GenAI / AI Engineer roles where I can build impactful products, learn from strong teams, and contribute from day one\.

## Location

Pune District

## AI stack

antigravity

claude code

hugging face

langchain

langgraph

Guardrails AI

## Work experience

Trainee at Samsung Innovation Campus, Dec 2025 \- Feb 2026 · 3 mos, Pune City, Maharashtra, India, Completed advanced Python training with practical projects and framework\-based development\. Built a Smart Mental Wellbeing Assistant during the program's hackathon, applying AI concepts to solve real\-world challenges\.

Summer Internship at CollaMeta, May 2025 \- Jul 2025 · 3 mos, Remote, As an Android Developer Intern at Collameta, I worked with a team to build a mobile app focused on enhancing the cognitive wellness of senior citizens through interactive assessments and brain\-training games\.

## Education

Bachelor of Technology \- BTech, Computer Science \(AI&DS\), Pimpri Chinchwad University, Pune

## Public links

- github: https://github\.com/AyushSingh110
- medium: https://medium\.com/@ayushsingh355vns

[View the original profile](https://tal.club/meet/ayush-singh-9)

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