Harsh Goswami
I’m a first-year B.E. Computer Science (AI/ML) student who loves building practical AI and computer vision solutions.
About
I’m a first-year B.E. Computer Science (AI/ML) student who loves building practical AI and computer vision solutions. I led ExuDetect, a CNN-based retinal diagnostics web app using PyTorch and Flask, where the model reached 90% accuracy and I also helped ship a REST API integrated with a web frontend.
- 2 years' experience
- Joined September 2026
Languages
- EnglishFluent
- HindiFluent
- Marathi (Marāṭhī)Advanced
Industry experience
- Education
- Software & Internet
- Healthcare
- Computers & Electronics
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Work experience
Led a 4-member team to build a CNN-based web application to detect diabetic retinopathy from fundus/retinal images. Trained and fine-tuned the model in PyTorch over 20 epochs (10 base training + 10 fine-tuning) using GPU acceleration on an NVIDIA RTX 3050 to improve generalization and reduce overfitting. Built and deployed a Flask/Python REST backend to serve model predictions via API and integrated it with the web frontend using Axios. Expanded the platform from a single-disease classifier to a multi-disease diagnostic system targeting diabetic retinopathy, cataract, and conjunctivitis. Owned multiple module areas (AI model, backend, web app, documentation) using structured Git workflows and clear ownership across parallel workstreams.
Education
Certifications and awards
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