Frontend Engineer (React, Next Js) with less than a year in React, Node.js, and AI-powered systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-Stack Developer specializing in AI-powered and real-time systems, with experience delivering production features to 27,000+ users. Skilled in React, Next.js, Node.js, and WebSockets, with hands-on experience building scalable applications and integrating LLM-based intelligence.
Galgotias University, Greater Noida
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Talentd.in
Frontend Developer Intern
September 1, 2025 – March 1, 2026
ResumeIQ AI Resume Classifier
April 27, 2026 – Present
Built end-to-end AI pipeline (TF-IDF + KNN + GPT feedback) achieving 98.44% accuracy on 1,000+ resumes across 25 job categories. Deployed Streamlit app with OpenAI skill-gap feedback, cutting manual screening effort by ~80%.
View ProjectQuickChat - AI-Powered Real-Time Chat
April 27, 2026 – Present
Embedded OpenAI Chat Completions via keyword-triggered commands inside a live WebSocket session — AI replies inline, no context switch. Persisted multi-user history in MongoDB with JWT auth; optimised WebSocket handling for concurrent users.
View ProjectBookHaven - Full-Stack Bookstore App
April 27, 2026 – Present
Built complete MERN app: 15+ REST endpoints, JWT auth, role-based access, bcrypt hashing — deployed on Vercel + Render.
View ProjectMySQL Intermediate Certified
Unknown
April 1, 2026 – Present
HackerRank 5-Star Gold in Problem Solving
HackerRank
April 1, 2026 – Present
Cultural Fit Analysis
Insufficient data due to a 0 score on the psychometric test, which includes team collaboration. This raises significant concerns regarding cultural fit.
Soft Skills & Operational Fit
The psychometric test score of 0, covering logical reasoning, work attitude, stress handling, and team collaboration, indicates significant unaddressed concerns in these areas. While project descriptions suggest initiative and delivery focus ('cutting manual screening effort by ~80%', 'zero rework requests'), these are contradicted by the assessment results.