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Full Stack Engineer with less than a year in MERN Stack & AI
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Developer with a strong foundation in web technologies and a keen interest in AI. Experienced in designing, developing, and maintaining responsive websites and applications using HTML, CSS, JavaScript, React.js, Node.js, Express, and MongoDB. Proven ability to collaborate with cross-functional teams and implement new features. Developed projects including a MERN stack Employee Management System, a React-based Chat Web Application, and an AI-powered MITM Attack Detection System. Eager to contribute technical skills and problem-solving abilities to innovative projects.
RVS ENGINEERING COLLEGE
BE · COMPUTER SCIENCE ENGINEERING
N/A – June 30, 2025
RAHMANIA MATRIC HR.SEC
HSC
N/A – May 31, 2021
RAHMANIA GARDEN MATRIC
SSLC
N/A – May 31, 2019
ICT ACADEMY
WEB DEVELOPER
June 1, 2026 – Present
India
ELYSIUM TECHNOLOGIES
Java DEVELOPER
June 1, 2026 – Present
India
EMPLOYEE MANAGEMENT SYSTEM – MERN STACK
June 1, 2026 – Present
Developed a full-stack Employee Management System to manage employee records, departments, and attendance with secure authentication and role-based access. Built RESTful APIs using Node.js and Express with MongoDB for data storage and created a responsive React interface for employee CRUD operations.
View ProjectCHAT WEB APPLICATION USING REACT JS
June 1, 2026 – Present
ChatSocial is a sophisticated chat application crafted with React, highlighting advanced capabilities like real-time messaging through WebSockets and dynamic content updates using React Suspense. The app employs Axios for efficient data fetching, custom hooks for modular logic, and a responsive design.
AI-POWERED MITM ATTACK DETECTION SYSTEM
June 1, 2026 – Present
Developed a real-time AI-based system using Random Forest to detect and block Man-in-the-Middle (MITM) attacks via packet sniffing in office networks. Simulated ARP spoofing attacks and captured network traffic using Wireshark and Ettercap to train and validate the detection model.
NPTEL Programming in Java- Topper 5%
NPTEL
June 1, 2026 – Present
NPTEL Data Structure and Algorithm in Java
NPTEL
June 1, 2026 – Present
NPTEL DataBase Management
NPTEL
June 1, 2026 – Present
FullStack Development
Unknown
June 1, 2026 – Present
Elyium Academy Internship
Elyium Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of interests, from full-stack web development to AI/cybersecurity. This breadth of technical curiosity could be a good cultural fit for an innovative and learning-oriented environment. The involvement in various competitions and a YouTube channel also suggests a proactive and engaged individual. However, the experience is primarily academic and internship-based, which might require more mentorship in a fast-paced industry setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex systems (e.g., real-time chat, AI-powered detection) and collaborate in teams (internship descriptions). The academic background and certifications suggest a diligent and problem-solving oriented individual. However, without direct assessment data on communication or psychometric traits, a comprehensive evaluation of soft skills and operational fit is limited.