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Full Stack Engineer with less than a year in web development and a strong background in AI/ML projec
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science & Engineering student with practical experience in full-stack web development, AI, and machine learning. Proven ability to design and implement scalable solutions, develop robust APIs, and optimize performance. Possesses strong problem-solving skills and a solid foundation in data structures and algorithms, demonstrated through consistent LeetCode practice and competitive programming participation.
Graphic Era Hill University, Dehradun
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Modern Era Public School, Bijnor
Class 12
June 1, 2021 – May 31, 2022
Modern Era Public School, Mandawar
Class 10
June 1, 2019 – May 31, 2020
Oasis Infobyte (AICTE OIB-SIP)
Web Development Intern
October 1, 2025 – December 1, 2025
India
Agentra
June 1, 2026 – Present
• Engineered a full-stack AI assistant enabling voice and text-based interactions for user queries. • Implemented 10+ RESTful APIs to manage request processing, AI integration, and session handling • Architected a scalable backend capable of handling concurrent user requests with secure sessions.
View ProjectAI Code Review Tool
June 1, 2026 – Present
• Constructed an AI-powered code review platform supporting multiple programming languages. • Developed 5+ backend APIs for code submission, analysis, and feedback generation. • Automated detection of common bugs and inefficiencies to improve code review efficiency
View ProjectOnline Voting System for Class Representative
June 1, 2026 – Present
• Built a machine learning pipeline using 4 classification algorithms (Naive Bayes, SVM, Logistic Regression, Random Forest) to analyze and predict optimal class representatives from 570+ feedback records. • Achieved 99% prediction accuracy using Naive Bayes, validated through confusion matrix, precision-recall, and accuracy metrics, and visualized model performance using metric-based plots
AI Tools Workshop
Be10x
June 1, 2026 – Present
AWS Cloud Architecture
Amazon Web Services (Forage)
June 1, 2026 – Present
Software Engineering Program
Accenture
June 1, 2026 – Present
Backend Development Program
JP Morgan Chase
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in full-stack development, AI, and machine learning, aligning well with a 'Full Stack Engineer' role. The diversity of personal projects (AI assistants, code review tools, voting systems) and certifications (AWS, Accenture, JP Morgan Chase programs) indicates a proactive learning approach and a broad interest in different technical domains. However, the lack of significant professional experience beyond a single internship limits the assessment of long-term cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical challenges and deliver functional solutions. Participation in hackathons and coding challenges suggests a proactive and problem-solving attitude. However, without direct interview data, it's difficult to assess communication, teamwork, and stress handling in a professional setting.