MSc Artificial Intelligence Β· University of Surrey Β |Β Based in UAE
I'm an AI/ML engineer with a background in computer vision, NLP, and backend development. I enjoy building end-to-end systems that are practical, local-first, and technically grounded β not just API wrappers.
I'm currently open to ML/AI Engineer, Backend Engineer, and MLOps roles across the UAE, India, and the UK.
Semantic Image Search Engine A privacy-preserving image retrieval system that runs entirely on-device. Uses Qwen3-VL to generate structured captions, stores 1024-dimensional embeddings in PostgreSQL with pgvector, and retrieves images via cosine similarity search. Built with FastAPI and React.
Heart Murmur Detection Classified heart murmurs from clinical tabular data using Random Forest on the PhysioNet dataset. Applied K-Means clustering to handle missing values in a sparse real-world dataset.
CNN vs ViT for Medical Image Classification Comparative study of 9 CNN, ViT, and hybrid architectures on 50,000 medical images for COVID-19 classification. Evaluated feature representations across early, middle, and late layers.
- MSc Artificial Intelligence β University of Surrey
- BSc Computer Science β University of Manchester
- Currently interning as a Data Analyst at ForgeDots Technologies
π« LinkedIn Β Β·Β π§ dineshselvamst@gmail.com
