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Harsh RajHR
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Harsh Raj

@harshraj7

Full-stack developer shipping MERN marketplaces and real-time computer vision pipelines with Python, React, and Node.js.

India
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What I'm looking for

I’m seeking a Software Engineer / Full-Stack Developer role to apply strong problem-solving and system design skills from day one.

I built and shipped Project Hub, a full-stack MERN marketplace where I handled the complete development lifecycle in 8 weeks—from requirements to deployment. I added dynamic search and filter functionality using REST APIs and secured buyer/seller flows with JWT-based, role-based protected routes.

In parallel, I developed a real-time object detection system using YOLOv5 and OpenCV, processing camera feeds with bounding-box visualization and object class labels. I also delivered a fraud-detection ML model with Logistic Regression, using SMOTE to address class imbalance and reaching a 0.91 F1-score on the fraud class.

As an Artificial Intelligence Intern at Internz Learn, I worked on a face recognition system in Python and OpenCV, building image preprocessing and feature extraction pipelines and debugging model performance with iterative adjustments. I’m currently completing my MCA and looking for a Software Engineer / Full-Stack Developer role where I can apply system design and problem-solving from day one.

Experience

Work history, roles, and key accomplishments

IL

Artificial Intelligence Intern

Internz Learn

Sep 2025 - Nov 2025 (2 months)

Developed a face recognition system in Python and OpenCV, implementing image preprocessing and feature extraction pipelines. Built and tested computer vision models, improving recognition accuracy through iterative adjustments.

Education

Degrees, certifications, and relevant coursework

CMR University logoCU

CMR University

Master of Computer Applications, Computer Applications

Grade: 8.0/10.0

Pursuing Master of Computer Applications with a GPA of 8.0/10.0.

VI

VIBRM

Bachelor of Computer Applications, Computer Applications

Grade: 8.2/10.0

Completed Bachelor of Computer Applications with a GPA of 8.2/10.0.

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