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Full Stack Engineer with less than a year in Python, JavaScript, Flask, and Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Driven Computer Science & Engineering student specializing in Full-Stack Development and AI-Integrated Systems. Proficient in Python, JavaScript, and modern frameworks like Tailwind CSS and Flask, with a strong focus on Web Security and Machine Learning applications. Proven ability to document technical architectures through Research Papers and peer-reviewed project reporting.
Graphic Era Hill University
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
St. Marks Academy
Intermediate
June 1, 2021 – May 31, 2022
Greenway Modern School
High School
June 1, 2019 – May 31, 2020
Smart Traffic Monitoring System
June 21, 2026 – Present
Designed an AI-powered surveillance system for real-time vehicle detection and classification using YOLOv8, achieving a high degree of classification accuracy across four vehicle categories. Developed a specialized helmet violation module that automatically identifies non-compliant riders, improving safety monitoring efficiency through automated image capture. Integrated Optical Character Recognition (EasyOCR) to automate license plate extraction, reducing manual law enforcement data entry. Optimized system performance by 25% using frame skipping and resolution reduction to maintain a real-time processing speed of 15–20 FPS. Authored a technical research paper and report book (available on GitHub) detailing the system's AI architecture and Machine Learning methodology.
Secure Password Generator
June 21, 2026 – Present
Engineered a security tool featuring a real-time strength meter and clipboard integration to enhance Data Privacy. Designed complex algorithms to handle multiple character sets (Hex, Symbols) to meet modern AES-level encryption standards.
GitHub User Finder
June 21, 2026 – Present
Developed a dynamic search application utilizing REST APIs to fetch and render real-time profile data and social metrics for over 100M+ potential users. Implemented Asynchronous JavaScript (Fetch/Promises) to eliminate page reloads, resulting in a 40% improvement in perceived user experience latency.
Cultural Fit Analysis
The candidate's projects demonstrate a diverse set of interests, from AI/ML to web development and security tools, which aligns with a broad technical curiosity. The academic background and project-based experience suggest a proactive approach to learning and applying new technologies. The focus on practical applications (e.g., traffic monitoring, password generation) indicates a problem-solving mindset. However, without information on collaboration or team-based projects, assessing cultural fit beyond individual drive is limited.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems, optimize solutions, and document technical architectures. The academic nature of projects suggests a learning-oriented individual. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or direct operational fit in a professional setting.