Nithin Reddy

Geethanjali College Of Engineering And Technology

Hyderābād, Telangana, India

Since April 7, 2026

About

My name is Nithin Reddy. I completed my B.Tech in Computer Science. From my second year, I developed a strong interest in solving problems through coding. Along with that, I also had an interest in design, which led me to explore frontend development. One day, while using the college portal, websites, zomato app, I got curious about how everything works behind the scenes. That curiosity pushed me to dive deeper into frontend development. As part of that journey, I built a real-time project called a job portal — a solution that allows job seekers can apply from the website and i build it for the business purpose to earn money Solving real-world problems is something I’m passionate about, and that’s why I’m excited to apply for this role in your organization.

Skills

MERN StackFront-endSQLJava

Education

Geethanjali College Of Engineering And Technology

B Tech · Artifical Intelligence and Machine Learning

September 18, 2022 – July 18, 2025

Projects

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January 4, 2026 – March 29, 2026

I design and developed a full stack project with MERN with AI. It helps for the job seekers who are searching for the IT and NON-IT related jobs for freshers as well as Experienced Person. I built for the business purpose to earn money by the web applicaion.

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Key Strengths

Academic background in Artificial Intelligence and Machine Learning, with some project exposure.
Basic familiarity with MERN stack components, as indicated by self-reported projects and an intern-level test score.
Decent communication skills, evidenced by a 78% score on the English test.
The candidate's current skill level and '0' years of experience are a significant mismatch for a 'Lead MERN Engineer' role.

Skill Analysis

MERN Stack Development Fundamentals

★★★★★

49%

The candidate scored 49% on the 'MERN : Intern' test, indicating a foundational but incomplete understanding of MERN stack components. This score, combined with a 0% on a general technical assessment, suggests significant areas for development in core technical and problem-solving skills.

JavaScriptNode.jsExpress.jsReact.jsMongoDBNoSQLCSSSass

Strengths

Demonstrated basic familiarity with core MERN stack components, including React, Node.js, and MongoDB.
Shows some understanding of front-end styling with CSS/Sass.

Limitations

Significant gaps in practical application and deeper understanding of JavaScript, Node.js, and database interactions (NoSQL/MongoDB).
Difficulty in solving problems requiring integrated MERN stack knowledge and complex logic.
The 0% score on the general Technical Test indicates fundamental technical weaknesses beyond MERN specifics.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 54% indicates that the candidate's alignment with typical workplace values and behaviors, including logical reasoning, work attitude, stress handling, and team collaboration, is moderate. Further assessment during an interview would be necessary to fully gauge cultural fit.

Soft Skills & Operational Fit

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