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Fullstack Engineer with less than a year in AI/ML & Web Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering undergraduate with a strong foundation in full-stack development and machine learning. Experienced in developing web applications that can handle large user traffic and create AI-Driven systems. I am dedicated to using new technical methods to solve practical problems that exist in the real world.
City Simulator
January 1, 2026 – Present
Built a web-based multi-agent city simulation platform that recreates real urban environments using map data and AI agents, prototyped on Ahmedabad. Engineered automatic zone generation and simulated population movement and economic activity using real-world datasets. Integrated ML models to analyze urban dynamics and visualized insights through an interactive dashboard.
Student Funding System
January 1, 2026 – Present
Developed a full-stack student-investor funding platform connecting verified students with investors via a structured workflow. Implemented secure onboarding, admin verification panels, and escrow-based funding workflows. Focused on JWT authentication, fraud prevention, and scalable system architecture.
Fake News Detection System
January 1, 2026 – Present
Built a full-stack platform classifying articles as real or fake using an ML and NLP pipeline with real-time confidence scores. Designed a FastAPI backend with TF-IDF vectorization and Scikit-learn classifiers. Implemented JWT-based authentication and comprehensive prediction history tracking.
AIT-Hackathon: Secure Wi-Fi Gateway
Ahmedabad Institute of Technology
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse technologies (Python, React.js, Django, FastAPI, ML/NLP). The hackathon achievement highlights a competitive spirit and ability to innovate. The project diversity (city simulation, funding system, fake news detection) suggests adaptability and a broad interest in solving different types of problems, which aligns well with a dynamic engineering culture. However, the lack of professional experience makes it difficult to fully assess long-term cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems. The hackathon win suggests strong teamwork and problem-solving under pressure. However, the psychometric test score is 0, which is insufficient to assess logical reasoning, work attitude, stress handling, and team collaboration. The English test score of 59 indicates potential areas for improvement in communication clarity and professional language usage.