---
title: "Yamini Sridhar - Researcher in Bengaluru | Tal"
description: "Meet Yamini Sridhar, Ex AI/ML Intern (ECE) · Springer-published researcher · Building RAG systems, GenAI engines & edge-ML pipelines based in Bengaluru. AI stack includes antigravity, claude, and gemini. Explore public work links including github."
image: "https://tal.club/meet/yamini-sridhar/share-image"
---

# Yamini Sridhar on Tal

## Headline

Ex AI/ML Intern \(ECE\) · Springer\-published researcher · Building RAG systems, GenAI engines & edge\-ML pipelines

## About

I build systems where ML meets hardware constraints — RAG pipelines, agentic LLM frameworks, and generative AI engines, with the ECE grounding to care about what happens at inference time\. My work so far: → Sentinel — a hybrid RAG system combining dense retrieval with structured reasoning, built to handle multi\-hop queries at scale\. → Lyra — a generative AI visual novel engine; end\-to\-end pipeline from prompt design to real\-time content generation\. → Springer publication — peer\-reviewed research on disease detection using computer vision, applying ML to real\-world agricultural diagnosis\. → Interned at PESU Venture Labs building RankStack, an AI\-native ranking platform for business entities — multi\-agent architecture, LLM evaluation pipelines, and production deployment\. Parallel to engineering, I lead design at Encode AI, shaping how AI products communicate with people — I care as much about the interface layer as the model underneath\. Graduating May 2026 · ECE, PES University · Open to ML engineering, edge AI, and applied AI research roles

## Location

Bengaluru

## AI stack

antigravity

claude

gemini

hugging face

openai

ChatGPT

## Work experience

Researcher at PESU Venture Labs, 2026 \- Jun 2026 · 5 mo, PES University, • Designed end\-to\-end ML pipeline for agricultural computer vision task; handled dataset curation, annotation schema, transfer learning\-based model training, and model evaluation across real\-world field conditions • Documented model performance with structured eval reports; applied MLOps practices including experiment tracking, versioning, and failure analysis across training runs\.

## Education

Bachelor of Technology \- BTech, Electronics and Communications Engineering, PES University

PES University

## Public links

- github: https://github\.com/yamini258

[View the original profile](https://tal.club/meet/yamini-sridhar)

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