Hi, I'm Manak Raj

Problem Solver

I’m a problem solver who builds backend systems and full-stack web applications. I work across Spring Boot, Golang, the MERN stack, and Next.js, focusing on clean APIs, scalable architectures, and real-world reliability.

Manak Raj Profile Photo

About Me

I build backend systems and full-stack applications using Spring Boot, Golang, and modern web technologies. My work focuses on API design, authentication systems, and scalable architectures that are practical and production-ready.

I enjoy working close to the backend, designing secure services, and implementing clean system boundaries while continuously improving my fundamentals in software design and problem solving.

4+

Projects Completed

2+

Years Experience

18+

Technologies

Skills & Technologies

Frontend Skills

React.js, Next.js, HTML5, CSS3, Tailwind CSS, JavaScript (ES6+), TypeScript

Backend Skills

Spring Boot, Golang, Node.js, Express.js, REST APIs, JWT Authentication, Hibernate

Database Skills

MySQL, PostgreSQL, MongoDB, Mongoose, Redis

Cloud & DevOps Skills

Git, GitHub, Vercel, Netlify, Render, Postman, Swagger (OpenAPI)

Programming & Core Skills

C++, Java, Go (Golang), Python, Data Structures & Algorithms, OOP, Operating Systems

Featured Projects

TalentFlow – Job Application & Hiring Management System

A production-ready backend REST API built with Spring Boot to manage job postings, applications, and hiring workflows with secure authentication and scalable design.

Spring BootJavaMySQLJWTHibernateSwagger

AegisCore – Identity Authentication & Access Control

A production-minded authentication and access control backend built with Go, featuring JWT authentication, refresh token rotation, RBAC, Redis-based logout, and clean layered architecture.

GolangGinPostgreSQLRedisJWTbcrypt

AnonVerse

A full-stack platform for anonymous poetry sharing with pen-name profiles and real-time interactions, built using modern web technologies.

Next.jsTypeScriptSupabaseTailwind CSS

Early Diabetes Detection Using ML (FUGA-Net)

A comparative analysis of machine learning models for diabetes prediction using a large-scale dataset, introducing a custom deep learning architecture (FUGA-Net).

Machine LearningDeep LearningPyTorch

Reality Weaver – Parallel Reality Generator

A full-stack web application that explores alternate timelines by generating “What if?” scenarios across history and technology using a modern React frontend and a serverless backend.

React TypeScript Tailwind CSS Supabase PostgreSQL

Get In Touch

I'm always open to discussing backend roles, projects, or engineering challenges.