Languages, frameworks, and technologies I work with.
Where I built real-world experience in AI & ML.
ML systems built end-to-end — from model research to deployment.
Real-time deepfake detection web application — full-stack from CNN model training to Flask deployment. Processes video frames, extracts features, and classifies authenticity with high confidence.
Production-grade CV system trained on 500K+ labeled images across 1000+ plant species. Optimized inference pipeline with ResNet50 transfer learning — from 15s to 2.8s prediction time.
Verified learning and professional development.
Open to ML Engineering & Data Science roles · Available 2026