[sync] github.com/avi-13 synchronized (14 repositories)
[ok] react, node.js, python/ml, java, dart pipelines active
[ok] custom domain: www.abhishekbhatta.com.np online
[ready] engineer loaded: Abhishek Bhatta
I engineer modern web applications, defensive authentication backends, and data science pipelines — building with React, Node.js, Express, MongoDB, Python (ML), and Java.
Full-Stack & Systems Engineer
Public Repositories
Active codebases on GitHub (@avi-13) spanning web, security, and ML.
Core Tech Stacks
React, Node.js/Express, Python/ML, Java, and Dart/Flutter.
Semester Projects
Helping Hearts, Blood Bank, Security Auth, SastoHub, and ML.
Security & Code Integrity
RBAC authorization, input validation, and defensive practices.
Full-stack web engineering, defensive backend security, predictive machine learning, and multi-platform development.
Component-driven architecture, client-side routing, responsive UI layout, and dynamic state management.
RESTful APIs, controller-middleware architecture, RBAC authorization, token validation, and OWASP security.
Statistical modeling, exploratory data analysis (EDA), automated data cleaning, and predictive modeling in Jupyter.
Object-oriented software engineering, algorithmic problem solving (DSA), and cross-platform mobile development.
Production web applications, security and authentication frameworks, full-stack platforms, and machine learning pipelines from my GitHub.
A responsive web platform designed to facilitate emergency health aid, patient support coordination, and seamless donor management with structured React components, client-side routing, and real-time state synchronization.
A centralized blood banking and donor coordination platform engineered to connect voluntary blood donors with recipients, track blood group inventory stocks in real-time, handle emergency blood requests, and streamline hospital requisitions.
Defensive authentication and authorization backend featuring Role-Based Access Control (RBAC), password hashing with salts, input sanitization middleware, and defenses against CSRF, SQLi, and XSS vulnerabilities.
Collaborative multi-category e-commerce web platform engineered for high performance: dynamic catalog filtering, shopping cart persistence, user transactions, and modern responsive design.
End-to-end data science and machine learning research pipeline: exploratory data analysis (EDA), data cleaning, statistical modeling, feature engineering, and predictive algorithm evaluation built with Python and Jupyter.
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