MSc Artificial Intelligence @ Kingston University, London Computer Vision · Deep Learning · Applied ML — currently seeking AI/ML internships in the UK.
I come from a full-stack background (MERN, Laravel) and am now focused on taking ML models from notebook to deployed product. My recent work spans face recognition with FaceNet, transfer learning on medical imaging (OrganSMNIST), and classical ML on imbalanced datasets.
- 🧠 Smart Office Face Recognition System — real-time face recognition with MTCNN + FaceNet/ArcFace, Streamlit demo · repo →
- 🩻 Medical Image Classification (OrganSMNIST) — MLPs, CNNs, and MobileNetV2/ResNet50 transfer learning on 224×224 CT scans
- 📊 Multi-class Classification on Imbalanced Data — 8 sklearn classifiers + SMOTE + ROC-AUC benchmarking
AI / ML PyTorch · TensorFlow/Keras · scikit-learn · OpenCV · FaceNet · MTCNN · Streamlit · imbalanced-learn
Languages Python · JavaScript · Java · PHP · SQL
Web / Full-Stack React · Node.js · Express · Laravel · MongoDB · MySQL
Tools Git · Jupyter · VS Code · Postman · Docker (learning)
- MSc Artificial Intelligence (with Professional Placement) — Kingston University, London · 2026–2028
- MCA — ISTAR College, Gujarat · 2023–2025 · 9.27 CGPA
- BCA — SEMCOM College, Gujarat · 2020–2023 · 8.67 CGPA

