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AI Engineer with less than a year in Front-End Development & Data Analysis
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Computer Science graduate with hands-on experience in Python-based data analysis, statistical modeling, and data visualization. Proficient in Pandas, NumPy, Matplotlib, and Scikit-learn, with practical experience preprocessing datasets, extracting actionable insights, and building data-driven systems. Adept at translating analytical findings into clear, evidence-based outputs for diverse stakeholders.
Saintgits College of Engineering
Bachelor of Technology · Computer Science
August 1, 2022 – June 30, 2026
NEST Digital
Front-End Application Development Intern
June 1, 2025 – July 31, 2025
Cochin, Kerala, India
Drishti Driver Safety System
October 1, 2025 – March 31, 2026
Sourced and preprocessed a labeled drowsiness detection dataset from Roboflow, cleaning and preparing image data across eye-state and fatigue classifications for model training. Trained a YOLOR (You Only Learn One Representation) deep learning model on the Roboflow dataset, enabling robust real-time detection and tracking of driver fatigue states from live video input. Applied MediaPipe facial landmark analysis to extract Eye Aspect Ratio (EAR) metrics, setting a calibrated threshold of 0.25 to statistically classify drowsiness and trigger on-screen safety alerts. Integrated the vision pipeline with an MQ-3 alcohol sensor, combining 2 hardware data streams with live video analysis for multi-input, evidence-based driver safety monitoring.
LearnO E-Learning Web Application
January 1, 2024 – July 31, 2025
Designed a normalized relational schema across 3 MySQL tables and wrote optimized SQL queries to support dynamic data retrieval for course delivery and learner progress tracking. Built RESTful API endpoints (GET, POST) to collect, store, and serve structured data on user activity and course progress, enabling evidence-based reporting across stakeholder views. Developed a parent-role dashboard with responsive CSS layouts, translating backend API data into clear visual summaries of learner progress for non-technical stakeholders.
AI Fundamentals: Foundations for Understanding AI
IBM SkillsBuild
June 1, 2026 – Present
Full Stack Web Development
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interests, from AI/Computer Vision to full-stack web development. Involvement in hackathons and student organizations suggests a proactive and collaborative mindset. However, the experience level is entry-level, which might not align with a senior AI Engineer role requiring extensive industry experience and leadership.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate technical findings into clear outputs for stakeholders, suggesting good communication and presentation skills. Participation in a national hackathon and executive committee roles imply teamwork and organizational abilities. However, the resume primarily highlights academic projects and an internship, which may require further validation for operational fit in a senior role.