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Software Engineer with less than a year in Full-Stack Development, AI, 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
Final-year Computer Science Engineering student with hands-on experience in Full-Stack Development, Artificial Intelligence, and Machine Learning. Developed AI-powered and web applications using React, FastAPI, Express.js, and Python. Strong foundation in Data Structures, Algorithms, DBMS, and Software Engineering with a focus on building scalable real-world solutions.
PSG College of Technology
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
ISearch AI-Based Face Recognition System
June 1, 2026 – Present
Engineered an AI-powered system for criminal identification using deep learning-based facial embeddings, achieving 94% accuracy and reducing identification time by 40%. Designed to handle real-world variations such as lighting and pose to improve reliability.
FIN-AI AI-Powered Personal Finance Platform
June 1, 2026 – Present
Built a finance platform that tracks expenses, analyzes spending patterns, and predicts future costs using historical data. Implemented AI insights and automated alerts that helped users improve savings by 15%.
Camera Kaaval Traffic Issue Reporting App
June 1, 2026 – Present
Implemented a cross-platform mobile app for reporting traffic violations and road issues, enabling users to submit reports 30% faster. Focused on a simple reporting workflow to encourage consistent user participation.
Text-Image Consistency Evaluation System
June 1, 2026 – Present
Built a pipeline to evaluate alignment between text prompts and AI-generated images using bidirectional verification. Combined semantic similarity, object grounding, fact verification, and OCR to generate a final consistency score and verdict.
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest in AI/ML and Full-Stack Development, aligning well with a Software Engineer role that often requires versatility and problem-solving. The diversity of projects (face recognition, finance platform, traffic reporting, text-image evaluation) suggests adaptability and a broad technical curiosity. However, as all projects are academic, the candidate's ability to integrate into a professional team environment and navigate corporate culture remains unassessed.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges and a focus on practical outcomes (e.g., 94% accuracy, 40% reduction in time, 15% savings). However, without direct work experience or specific examples of collaboration, leadership, or problem-solving in a team setting, it is difficult to assess soft skills and operational fit comprehensively. The candidate is a final-year student, which explains the lack of professional experience.