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AI Engineer with less than a year in Intelligent Systems & Web Applications
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Assessing your cultural and operational fit
Results-driven AI & Machine Learning Engineer with a solid foundation in developing end-to-end intelligent systems, computer vision models, and natural language processing pipelines. Proficient in Python, machine learning workflows, and building user-centric full-stack web applications. Proven ability to engineer solutions like hate speech detection classifiers and real-time computer vision monitoring systems. Adept at translating complex data into intuitive, high-performance applications.
Bharathiyar university
Bachelor of Artificial Intelligence And Machine Learning · Artificial Intelligence And Machine Learning
August 1, 2023 – June 30, 2026
Woxro Technologies
Frontend Engineer & UI/UX Designer
April 1, 2026 – Present
Thrissur, Kerala, India
Infosys Springboard
AI & Machine Learning Intern
October 1, 2024 – December 31, 2024
India
AI Fatigue Detection App
June 1, 2026 – Present
Architected a real-time computer vision-based drowsiness and fatigue detection system utilizing facial landmark estimation (OpenCV, MediaPipe) to track Eye Aspect Ratio (EAR). Developed an interactive mobile-first React simulation featuring background usage tracking, routine manager, and real-time notification alerts. Implemented a custom profile-based heuristic AI engine recommending customized schedules and screen-breaks based on user roles (IT Professional, Student, General). Designed a high-security simulated Kiosk/Focus Mode and parental override system for locking navigation and tracking application limits.
Hate Speech Detection
June 1, 2026 – Present
Developed an AI-powered hate speech detection system using Natural Language Processing (NLP) and Machine Learning techniques to identify and classify offensive, abusive, and hateful content from text data. Implemented text preprocessing pipelines including tokenization, stop-word removal, stemming, and feature extraction using TF-IDF and word embeddings. Trained and evaluated machine learning models such as Logistic Regression, Naive Bayes, and Random Forest for accurate hate speech classification. Performed data cleaning, model optimization, and performance evaluation using accuracy, precision, recall, and F1-score metrics. Enhanced online safety by enabling automated detection and filtering of harmful content across social media and digital communication platforms.
Cloud Computing
NPTEL
June 1, 2026 – Present
Database Management System
NPTEL (Silver Medal)
June 1, 2026 – Present
Advanced Excel with Data Analytics
E&ICT Academy IIT Kanpur
June 1, 2026 – Present
Web Designing
Prompt Infotech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including both computer vision and NLP applications, shows a broad interest within AI. Their current role as a Frontend Engineer & UI/UX Designer, while not directly AI-focused, demonstrates a valuable skill set in user-centric design and implementation, which can be beneficial for deploying AI solutions. The internship at Infosys Springboard aligns well with the target role. The breadth of skills across AI/ML, frontend development, and various tools suggests a versatile individual who can contribute to different aspects of a project. The certifications also indicate a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work on diverse projects, suggesting adaptability. Their experience in UI/UX design and frontend engineering, alongside AI/ML, indicates a holistic approach to product development. The description of collaborating with engineering teams and conducting workshops suggests a proactive and team-oriented mindset. However, without specific psychometric or English test scores, a deeper assessment of operational fit and communication clarity is limited.