---
title: "Yanala Raghuvamshi Reddy - Back End Developer AI in Hyderabad | Tal"
description: "Meet Yanala Raghuvamshi Reddy, Aspiring AI/ML Engineer | Python • Machine Learning • Deep Learning | Built Context-Aware Chatbots & 98.9% F1 Image Classifier using TensorFlow & Scikit-Learn based in Hyderabad. AI stack includes hugging face, langchain, and livekit. Explore public work links includi..."
image: "https://tal.club/meet/yanala-raghuvamshi-reddy/share-image"
---

# Yanala Raghuvamshi Reddy on Tal

## Headline

Aspiring AI/ML Engineer \| Python • Machine Learning • Deep Learning \| Built Context\-Aware Chatbots &amp; 98\.9% F1 Image Classifier using TensorFlow &amp; Scikit\-Learn

## About

Hi\! I’m a B\.Tech student in Artificial Intelligence &amp; Machine Learning at CMR Engineering College\. I enjoy working on projects where I can apply AI to solve real\-world problems, whether it’s in research, environment, or creative applications\. I recently interned at ISRO–NRSC, where I worked on the SM\_ET\_DNN framework to model evapotranspiration \(ET, PET, fET\) using soil moisture, climate, and radiation data\. This experience gave me a chance to combine machine learning with environmental science, which was both challenging and rewarding\. Earlier, I built an AI\-based Art Image Classifier using an ensemble of CNNs \(MobileNetV3 \+ InceptionV3\) to detect defective art exhibits, and deployed it with Flask\. That project taught me a lot about deep learning, computer vision, and how to take research models into real applications\. Most of my work is in Python and TensorFlow, and I like building models that go beyond experiments—whether it’s training deep learning systems, working with computer vision, or exploring how AI can be applied to scientific problems\.

## Location

Hyderabad

## AI stack

hugging face

langchain

livekit

openai

## Work experience

Back End Developer AI at Morpho Technologies Pvt Ltd, Feb 2026 \- Apr 2026 · 3 mos, Hyderabad, AI Systems Engineer specializing in multi\-agent LLM architectures and retrieval\-augmented generation \(RAG\)\. Designed resilient multi\-model AI infrastructure \(Groq \+ OpenRouter\) with automated failover\. Built and deployed production\-grade AI SaaS platforms with vector search, monetization, and deep learning models\. Experienced in research\-driven DNN and ensemble CNN implementations for real\-world applications\.

Machine Learning Engineer intern at Tabbly, Oct 2025 \- Nov 2025 · 2 mos, Bengaluru, Karnataka, India

Student Intern at ISRO \- Indian Space Research Organization, Jun 2025 \- Aug 2025 · 3 mos, Hyderabad, Telangana, India, Research Intern at ISRO\-NRSC, worked on Deep Learning\-based ET, PET &amp; fET prediction models using environmental datasets; implemented soil moisture threshold automation &amp; CWD drought tracking, achieving 92% accuracy with robust NaN\-safe pipelines\.

## Education

Bachelor of Technology \- BTech, Artificial Intelligence, CMR Group of Institutions

12th Grade, MPC, Narayana Junior College \- India

## Public links

- github: https://github\.com/roar3691

[View the original profile](https://tal.club/meet/yanala-raghuvamshi-reddy)

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