T S Venkata Pruthvi Reddy profile photo 1 on Tal

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

Greater Bengaluru Area

< 1 year of work experience

Dyashin Technosoft
Feb 20264 mosMay 2026

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.
GitHub
@pruthvi2005

T’s AI Stack

antigravity
antigravity
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claude code
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cursor
github copilot
github copilot
glama
glama
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hugging face

Education

DR. T. THIMMAIAH INSTITUTE OF TECHNOLOGY (TTIT)

Bachelor of Engineering - BE, Artificial intelligence and Machine learning

DR. T. THIMMAIAH INSTITUTE OF TECHNOLOGY (TTIT)

20224 yrs2026

Puc, Computer Science

Vidhya Jyothi PU College

20202 yrs2022

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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

T S Venkata Pruthvi Reddy - AI ENGINEERING INTERN in Greater Bengaluru Area | Tal