Engineer working across full-stack development and applied ML/computer vision.
- π§ Built a real-time violence detection CNN (90.07% accuracy) β presented at CIGAI 2026 (Springer)
- π 1st place, Sankalp Hackathon (18 teams) β ML-powered dark UX pattern detector
- π 700+ DSA problems solved, 600+ day LeetCode streak
π Open to SDE / ML roles
Violence Detection & Alert System
Real-time CNN (MobileNetV2) β 90.07% accuracy, 0.91 precision on 11,073 images. InsightFace facial ID + automated alerting (alarm/call/SMS/email). Published at CIGAI 2026.
Python TensorFlow MobileNetV2 InsightFace
Insite β Dark UX Pattern Detector π Hackathon Winner
Two-stage ML classifier detecting 7 dark UX pattern types in real time, with weighted transparency scoring served via REST API. Chrome extension frontend.
Python Scikit-learn Flask Chrome Extension
RentNGo β Vehicle Rental Platform
Full-stack rental platform β customer/admin flows, Bcrypt auth, role-based dashboard, booking & inventory management.
Flask SQLAlchemy SQLite Bcrypt
Languages: Python Β· Java Β· C++ Β· JavaScript Β· SQL
ML/AI: Scikit-learn Β· TensorFlow Β· Pandas Β· NumPy Β· CNNs
Web: Node.js Β· Express.js
Databases: MySQL Β· MongoDB Β· SQLite
π§ reeshmayerninti@gmail.com (primary) Β· revathiyerninti@gmail.com (GitHub/LeetCode) π LinkedIn