---
title: "T S Venkata Pruthvi Reddy - AI ENGINEERING INTERN in Greater Bengaluru Area | Tal"
description: "Meet T S Venkata Pruthvi Reddy, Software Developer | AI/ML Engineer | Python, Flask, FastAPI, Django, TensorFlow, Scikit-learn, SQL, MongoDB, REST APIs, Unit Testing | 95%+ Model Accuracy & 60% Reduction in Manual Handling based in Greater Bengaluru Area. AI stack includes antigravity, claude code,..."
image: "https://tal.club/meet/pruthvi-reddy/share-image"
---

# T S Venkata Pruthvi Reddy on Tal

## Headline

Software Developer \| AI/ML Engineer \| Python, Flask, FastAPI, Django, TensorFlow, Scikit\-learn, SQL, MongoDB, REST APIs, Unit Testing \| 95%\+ Model Accuracy & 60% Reduction in Manual Handling

## About

I build AI\-powered software systems, not just models in a notebook, but full applications that ship, scale, and solve real problems\. Built an AI\-powered employee retention predictor at Dyashin Technosoft, improving attrition prediction accuracy by 40% through Logistic Regression and Random Forest models\. Developed a deep learning\-based lung cancer classification system, achieving 95%\+ test accuracy across 4 tissue classes with sub\-2\-second inference\. Designed a GPT\-powered AI assistance module for a full\-stack Mental Health Portal, reducing manual query handling by 60%\. I work across Python, Flask, FastAPI, Django, TensorFlow, Scikit\-learn, SQL, and MongoDB — with fundamentals in DSA, OOP, DBMS, and REST APIs backing the code, and a published AI healthcare research paper behind the thinking\. Open to Software Developer and AI/ML Engineer roles — let's connect\.

## Location

Greater Bengaluru Area

## AI stack

antigravity

claude code

cursor

github copilot

glama

hugging face

## Work experience

AI ENGINEERING INTERN at Dyashin Technosoft, Feb 2026 \- May 2026 · 4 mos, Bengaluru, • Designed an AI\-based employee retention predictor using Python and Scikit\-learn, improving employee risk identification efficiency by 40% through predictive analytics and automated risk assessment\. • Built and evaluated Logistic Regression and Random Forest models for attrition prediction, selecting the highest\-performing model through iterative feature engineering and validation\. • Delivered an interactive HR analytics dashboard tracking 10 workforce KPIs across 200 employee records, saving the HR department \~5 weeks of manual analysis time per quarter and supporting organization\-wide retention decision\-making\.

## Education

Bachelor of Engineering \- BE, Artificial intelligence and Machine learning, DR\. T\. THIMMAIAH INSTITUTE OF TECHNOLOGY \(TTIT\)

Puc, Computer Science, Vidhya Jyothi PU College

## Public links

- github: https://github\.com/pruthvi2005

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

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