Software Engineer working on large-scale government web applications at MPSEDC used by lakhs of citizens across Madhya Pradesh.
I enjoy building data-driven systems, machine learning models, analytics dashboards, and full-stack applications.
- ๐ Working on statewide government systems handling 2,000โ5,000+ records per module
- ๐ค Interested in Machine Learning, Data Analytics, and Computer Vision
- ๐ผ Graduate Engineer Trainee @ MPSEDC - State IT Center, Bhopal
- ๐ B.Tech CSE (8.77 CGPA) - RGPV
- ๐ Writing about tech and other interests on my blog
- ๐ Bhopal, Madhya Pradesh, India
Government Scheme & MSME Analytics
State-level analytics dashboard built with Power BI + Python analyzing 19,288+ records across 50+ districts to monitor welfare schemes and MSME growth.
SmartFace Attendance
Real-time face recognition attendance system using OpenCV & KNN with 100+ samples per user and automated CSV attendance logging.
DS Assignment โ Zeotap
Customer segmentation system using K-Means clustering on behavioral transaction data to identify 5 customer clusters.
Student Management System
Full-stack web application built with Angular + ASP.NET Core implementing CRUD operations and state-wise student management.
CodeClause Internship Projects
Collection of 4 Python applications built during internship including Flask web apps, GUI tools, and authentication systems.
Balloon-Buster 2.0
Modern C++17 arcade shooting game with structured game engine, multiple levels, survival mode, sound effects, and cross-platform gameplay.
Graduate Engineer Trainee - MPSEDC
Nov 2025 - Present
- Contributing to live statewide government applications serving lakhs of users
- Handling database logic, feature development, and module enhancement
- Working in Agile SDLC with CI/CD deployments
Internships
โข Machine Learning Virtual Intern - AspireNex (Remote)
โข Python Development Intern - Sudaku CodeClause (Hybrid)
โข Data Science & Analytics Intern - Zidio Development (Remote)
- ๐ B.Tech CSE - 8.77 CGPA
- ๐ Built analytics dashboards processing 19K+ records
- ๐ค ML models trained on datasets up to 280K records
- ๐ฅ Face recognition system with 100+ samples per user
I occasionally write about technology, football, cinema, cricket, literature and related topics.
Visit my blog: patelritiq.blogspot.com