Available for work

Sai Kumar
Pamuluri

Python & React Developer · AI/ML Engineer

I build things that work — clean backend logic, data pipelines, and front-end interfaces. CS graduate in AI from Narasaraopeta Engineering College, turning real-world problems into elegant, data-driven solutions.

Let's Connect View My Work

● Open to SDE / Data Roles

🤖 99.93% SVM Accuracy

📄 ICCCT 2025

🎓 B.Tech CSE (AI)

What I work with

Skills & Technologies

A versatile skill set spanning backend logic, data science, machine learning, and frontend development.

Python

React.js

JavaScript

MySQL / SQL

HTML / CSS

TensorFlow

Scikit-learn

XGBoost

SVM / KNN

CNN / LSTM

Git / GitHub

AWS Cloud

Pandas / NumPy

Flask

Data Pipelines

Matplotlib

Work History

Experience

Hands-on experience building production ML pipelines and automation solutions.

BlackBucks Technologies Pvt. Ltd.

Python Intern — Credit Card Fraud Detection

Jan 2025 – Mar 2025

Built a fraud detection model using SVM in Python, achieving 99.93% accuracy — outperforming Logistic Regression (99.82%), Decision Tree (99.75%), and KNN (97.46%)
Automated data processing pipelines using Python scripts, reducing manual effort by 20% and cutting processing time by ~30%
Wrote reusable backend logic to handle 5,000+ records, simplifying update cycles and improving data management efficiency
Debugged and restructured Python scripts, improving program accuracy by 15% and reducing runtime errors significantly
Managed full codebase using Git & GitHub across the internship lifecycle, following SDLC practices for clean version control

Python SVM Scikit-learn Git Data Pipelines Remote

Featured Work

ClassiSafe

A novel approach to safety in transportation systems — published at ICCCT 2025 (Springer).

📄 ICCCT 2025 · Springer

ClassiSafe: A Novel Approach to Safety in Transportation Systems

B.Tech Final Year Project · Narasaraopeta Engineering College · 2024–25

A comprehensive multi-model machine learning system for predicting traffic accident severity. Processed 20,000+ accident records, applied rigorous data preprocessing, and compared 9 models spanning classical ML to deep learning — achieving near-perfect accuracy with CNN and FCNN. The project also features a full-stack web interface for real-time predictions.

Model Performance

CNN / FCNN (Deep Learning)

99%

LSTM (Deep Learning)

98.8%

XGBoost (Best ML Model)

83.2%

SVM

80.5%

KNN

80%

Logistic Regression

76.4%

Python TensorFlow Scikit-learn XGBoost CNN LSTM Flask SQLite Pandas HTML/CSS/JS

Credentials

Certifications

Click any card to view the certificate.

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📜

ICCCT 2025 · Springer · NFSU + FIU

Certificate of Presentation — ClassiSafe

7th International Conference on Communication & Computational Technologies · Feb 14–15, 2025

↗ Click to view certificate

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🏅

IBM · edX · Verified Certificate

Data Science & Machine Learning Capstone Project

DS0720EN · Issued March 26, 2024 · ID: d8a0dc422d48...

↗ Click to view certificate

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🎓

NPTEL · IIT Madras · SWAYAM

The Joy of Computing Using Python

Score: 55% · Assignments: 25/25 · Jul–Oct 2023 · 16,145 certified

↗ Click to view certificate

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🏢

Blackbuck Engineers · APSCHE

Long-term Internship Completion — AI/ML

240 Hours · Narasaraopeta Engineering College · Mar 2025

↗ Click to view certificate

Get in Touch

Let's Work Together

I'm actively looking for entry-level roles in Software Development, Backend, Frontend, or Data. Always open to the right opportunity.

pamulurisai0@gmail.com LinkedIn Profile GitHub

Sai KumarPamuluri

Skills & Technologies

Experience

ClassiSafe

ClassiSafe: A Novel Approach to Safety in Transportation Systems

Model Performance

Certifications

Let's Work Together

Sai Kumar
Pamuluri