Entry-level Full Stack AI Engineer with MERN and Data Science skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A passionate B.Tech student in AI & Data Science with demonstrated ability to build and ship production-grade full-stack applications. Co-developed Ethoria, a MERN stack social media platform with integrated AI-powered cyberbullying detection, handling frontend architecture, backend API development, and database design. Known for a strong learning curve, creative problem-solving, and the ability to adapt quickly to new technologies and team environments. Supplemented by hands-on AI project experience through the Intel Unnati programme.
Arunai EngineeringCollege,Tiruvannamalai
B.Tech · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Xenora Technologies
Business Development Intern
June 1, 2026 – Present
India
Edu Tantr
AIML Trainee Intern
February 1, 2026 – May 1, 2026
India
Intel Unnati-Crescent Innovation & Incubation Council
AI Intern
July 1, 2024 – August 1, 2024
India
Ethoria — Cyberbullying Detection Social Media Platform
January 1, 2025 – January 1, 2026
A production-deployed MERN stack social media web application with Instagram-like features and a comprehensive AI-powered safety layer, built collaboratively and shipped end-to-end. Built and structured React components for the full user interface including post feeds, stories, reels, DM inbox, explore page, and user profiles with a focus on clean, responsive design. Developed and integrated RESTful backend APIs using Node.js and Express for user authentication, content management, reporting workflows, and real-time data handling. Connected and managed MongoDB Atlas collections for users, posts, messages, reports, and audit logs designing schemas optimised for social media data patterns. Collaborated on integrating HuggingFace NLP models to classify and block offensive comments before posting, and to generate severity scores for admin-reviewed DM reports. Contributed to building the One-Click Evidence Vault, a server-generated PDF of flagged DM conversations with timestamps, User IDs, and a SHA-256 tamper-proof hash for legal use.
Cultural Fit Analysis
The candidate's involvement in a social impact project (Ethoria) focused on cyberbullying detection indicates a potential alignment with socially conscious or mission-driven organizations. Their diverse internship experiences, including AI/ML and business development, suggest a broad perspective and willingness to explore different areas, which can contribute positively to team dynamics. The ability to balance academic performance with project development also points to strong time management and commitment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, a creative approach to design, and the ability to maintain focus under pressure, as highlighted in their 'Core Strengths'. Their experience in collaborative project development (Ethoria) and structured internship programs suggests good team collaboration and operational fit. The 'Fast Learner' and 'Highly Adaptable' traits are crucial for dynamic development environments.