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Harsh Raj

Open to work0 years experience

Full-Stack Developer

Bengaluru, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full-Stack Developer | React.js | Python & ML

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

30 skills
react.jsjavascripthtml5css3node.jsrest apisexpress.jsjwt authenticationmongodbmysqljdbcservletpythonjavacsqlscikit-learnopencvyolov5pandasnumpysmotegitgithubvs codeandroid studioeclipsedata structuresalgorithmsdbms

Work Experience

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Projects

Project Hub — Buy & Sell Platform

React.jsNode.jsMongoDBREST APIJWT Authentication
  • Built a full-stack marketplace for buying and selling academic and freelance projects, managing end-to-end flow from listing creation to user authentication — solo, delivered in 8 weeks.
  • Engineered dynamic search and filter functionality via REST APIs, enabling users to discover relevant listings across multiple categories without manual browsing.
  • Implemented JWT-based authentication with protected routes, enabling secure role-based access control for buyers and sellers.
  • Optimised performance via code splitting and lazy loading, achieving sub-2s page load time across all major pages.

Real-Time Object Detection System

PythonOpenCVYOLOv5NumPy
  • Built a live object detection pipeline using YOLOv5 and OpenCV, processing real-time camera feed at ~28 FPS with bounding box visualisation and object class labels.
  • Tracked multiple object classes simultaneously, demonstrating applied knowledge of computer vision pipelines from frame capture to inference.
  • Optimised frame processing loop to minimise latency, achieving 87%+ detection accuracy on standard test scenarios.

Credit Card Fraud Detection — ML Model

PythonScikit-learnPandasNumPySMOTE
  • Trained a Logistic Regression classifier on 284,807 transactions with severe class imbalance (fraud: 0.17%), resolving it using SMOTE oversampling to improve minority-class recall.
  • Achieved F1-score of 0.91 on the fraud class, evaluated via precision, recall, AUC-ROC — demonstrating sound understanding of imbalanced classification.
  • Performed full EDA and feature engineering with Pandas, identifying the top 5 features most correlated with fraudulent transactions.

Leaderboard Standings

Leaderboard Position Pending

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Assessment Highlights

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AI Collaboration Score

AI Collaboration Score Pending

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Role Compatibility Profile

Role Compatibility Analysis Pending

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Achievements

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About Details

Professional Bio

MCA final-year student with hands-on experience building and shipping full-stack web applications and ML systems. Proficient in React.js, Node.js, REST APIs, and Python-based ML pipelines. Strong grasp of data structures, OOP, and system design.

Master of Computer Applications (MCA)

CMR University, Bengaluru (2024 - 2026)

Bachelor of Computer Applications (BCA)

VIBRM, Muzaffarpur (2020 - 2023)

Languages: English, Hindi
Email: Locked