Hi, I'm

PRADISH G

|

M.Tech Software Engineering student at VIT Vellore. I build backend systems with Java & Spring Boot, train ML models, and turn messy data into something useful.

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Pradish G
About

A bit about me

I'm pursuing my M.Tech (Integrated) in Software Engineering at VIT Vellore. Most of my time goes into writing Java, building Spring Boot APIs, and figuring out why my ML model's accuracy dropped overnight.

I've worked on projects ranging from a biometric encryption system (which I filed a patent for) to a sentiment analysis pipeline that processed 50K+ Amazon reviews. I like building things that actually work.

When I'm not coding, I'm probably reading about system design or experimenting with new datasets.

8.02
CGPA at VIT
3+
Major Projects
PATENT
1
Patent Filed
ACCURACY
94.7%
ML Accuracy

Education

M.Tech (Integrated) Software Engineering
Vellore Institute of Technology, Vellore
Sep 2022 – Present CGPA: 8.02 / 10
Higher Secondary (Class XII)
Vani Matriculation Higher Secondary School, Vellore
May 2021 Grade: 90.0%
Skills

What I work with

Languages, frameworks, and tools I use regularly.

Languages
Java Python SQL C C++
Core CS
DSA OOP DBMS Operating Systems Computer Networks
Data Science
Machine Learning NLP Data Analysis
Backend
Spring Boot REST APIs Hibernate
Database
MySQL PostgreSQL
Tools & Cloud
Git Tableau Power BI AWS (Basics)
Projects

Selected work

Some projects I've shipped — from research prototypes to production-ready platforms.

PATENT
SmartMedID
Biometric Medical Record Security

Uses facial recognition to generate unique encryption keys for securing electronic medical records. Filed a patent for the core algorithm.

  • Facial recognition generates encryption keys for medical records
  • Implemented anomaly detection and secure authentication
  • Patent filed for biometric-bound encryption system
PythonOpenCVFace RecognitionEncryptionPostgreSQL
Civic Connect
Citizen Feedback Analytics Platform

Full-stack platform where citizens submit feedback and admins track issues in real-time, with built-in sentiment classification.

  • Built with Spring Boot with role-based access (Admin/Citizen)
  • Integrated sentiment analysis API for automatic feedback classification
  • Designed MySQL database with real-time issue tracking system
JavaSpring BootSpring SecurityMySQLREST APIs
94.7% ACCURACY
Sentiment Mining
Big Data Analytics on Amazon Reviews

NLP pipeline that classifies sentiment across 50K+ Amazon reviews. Compared TF-IDF, GloVe, and BERT — BERT won at 94.7%.

  • Processed 50,000+ reviews using TF-IDF, GloVe, and BERT
  • Achieved 94.7% accuracy with optimized ML models
  • Visualized insights using interactive Tableau dashboards
PythonNLPScikit-learnBERTTableau
Achievements

Certifications & Patent

PATENT
Biometric-Bound Encryption System for EMR with Adaptive Authentication
An innovative encryption system leveraging facial recognition to secure Electronic Medical Records with adaptive authentication mechanisms.
March 2026
Cybersecurity Course Completion
Infosys Springboard
February 2026
Java Programming Certification
InternPe
June 2025
Contact

Say hello

Open to opportunities

I'm looking for internships and project collaborations. Drop me a message — I'll get back to you.

Email
smatypradish@gmail.com
Phone
+91 9025072380
LinkedIn
Pradish G
GitHub
Smatypradish
Location
Vellore, Tamil Nadu, India