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Tarpit Patel

@tarpitpatel

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Computer Vision & Machine Learning Engineer who built AutoScan AI, scoring 59.5 mask AP on the CarDD damage benchmark.

India

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What I'm looking for

I’m seeking full-time, contract, or internship work and am open to remote roles worldwide.

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

Work history, roles, and key accomplishments

Deep Learning & Computer Vision Intern

Clarion Analytics

Dec 2024 - Jun 2025 (6 months)

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 Vision Instance segmentation Object Detection OCR CVAT fastAPI Flask PyTorch Data Annotation Model Training

Python with AI Intern

Axisray

Jan 2024 - Apr 2024 (3 months)

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.

Object Detection Model Training Fine Tuning Inference Services Python