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Tarpit Patel
Looking for a jobDeep Learning & Computer Vision Intern
Computer Vision & Machine Learning Engineer who built AutoScan AI, scoring 59.5 mask AP on the CarDD damage benchmark.
IndiaDeep Learning & Computer Vision Intern at Clarion Analytics
About
At Clarion Analytics, I built instance segmentation models for car parts and damage, PPE detectors, and a race bib recognition pipeline. I also created document image clean-up and stamp and signature detection pipelines.
I annotated data in CVAT and trained models on datasets ranging from 5K to 80K+ images, serving them through FastAPI endpoints. At Axisray, I built a safety hazard detection system for missing helmets or vests and unauthorised entry into restricted zones.
On AutoScan AI, I built a car damage assessment project that scores 59.5 mask AP on the official CarDD test split, above the 57.0 reported for DCN+ in the CarDD paper. I’m completing my M.E. dissertation and exams and am available for full-time, contract, or internship work.
Experience
Deep Learning & Computer Vision Intern
Built instance segmentation models for car parts and car damage, and PPE detectors for kitchens and construction sites. Developed a race bib number recognition pipeline and a document image clean-up pipeline with stamp and signature detection.
Computer VisionInstance segmentationObject DetectionOCRCVATfastAPIFlaskPyTorchData AnnotationModel Training
Python with AI Intern
Built a safety hazard detection system that flags missing helmets or vests and unauthorised entry into restricted zones. Trained and fine-tuned object detection models and designed the inference service layer.
PyTorchObject DetectionModel Training
Education
Gujarat Technological University
Pursuing a Master of Engineering in Artificial Intelligence and Data Science with an expected graduation in July 2027.
Pursuing a Master of Engineering in Artificial Intelligence and Data Science with an expected graduation in July 2027.
Silver Oak University
Completed a Bachelor of Technology in Computer Engineering with a focus on AI-ML, achieving a CGPA of 9.59/10.