Building things on internet that matters . Working as a Software Engineer at NeoITO .
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NeoITO
Software Engineer
June 15, 2026 – Present
Resto-Dashboard
October 13, 2024 – October 15, 2024
A Restaurent data analytics dashboard
View Projectreplyflow
August 15, 2024 – September 13, 2024
This project provides a multi-level comment system API designed to handle nested comments with features such as creating posts, adding comments with nested replies, and pagination. The system is built with Node.js, Express, and PostgreSQL, and it is Dockerized for easy deployment.
View ProjectLogus
March 30, 2022 – May 17, 2023
Logus was a social media application . this is my experimental project to grab more knowledge in full stack development in this app I build the major features needed in a social media platform. I implemented fully functional authentication in this work. I used MERN stack for developing this cool application.
View ProjectE-PLANT
September 25, 2021 – April 11, 2022
E-Plant is an Ecommerce web application for plant lovers. this web application provides ultimate shopping experience for end users. I build this application using HTML5,CSS3, Node Js , Express Js, Mysql database.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards full-stack development, with a mix of frontend and backend technologies. While the target role is 'Frontend Developer', many projects lean towards full-stack or backend (e.g., 'replyflow' API, 'E-PLANT' with Node.js/Express/MySQL). This indicates a broad interest but potentially less specialized focus on advanced frontend concepts. The projects are all personal, which might suggest a proactive learning attitude but lacks experience in collaborative team environments or enterprise-level projects.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions indicate a focus on personal experimental projects, suggesting a self-driven learning approach.