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AI Engineer with 1+ years in Python, Machine Learning & Flask
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI-focused Computer Science undergraduate skilled in Python, Flask, Artificial Neural Networks (ANN), and Machine Learning. Experienced in building AI-powered systems including real-time gesture recognition and intelligent language translation applications. Strong foundation in backend API development, model integration, and data structures.
University College of Engineering, Arni
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
8Queens Software Solutions Pvt. Ltd.
Full Stack Web Developer Intern
July 1, 2025 – Present
Chennai, Tamil Nadu, India
ANN-Based Language Translation System
June 1, 2026 – Present
Designed and implemented an ANN model for language translation tasks. Built Flask REST APIs to serve trained models for prediction. Integrated MySQL-based dynamic dictionary mapping. Presented research paper at IEEE conference.
Language Learning Web Application
June 1, 2026 – Present
Developed full-stack language learning platform using OOPS principles. Implemented authentication, quiz modules, and REST API architecture. Integrated AI-based translation features to enhance learning interaction.
AI-Based Sign Language Translator (In Progress)
June 1, 2026 – Present
Developed real-time sign language recognition using MediaPipe for hand tracking and feature extraction. Trained ML models for gesture classification and integrated prediction via Flask APIs. Designed backend inference pipeline for real-time translation output.
Fault Detection using Machine Learning
Abdul Hakeem Engineering College and Technology
June 1, 2026 – Present
ANN-Based Language Translation System
IEEE Conference
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, focusing on AI/ML applications and full-stack development, aligns well with an innovative and technically driven environment. The academic projects and research presentations suggest a strong interest in continuous learning and contributing to the technical community. The internship in full-stack development shows adaptability. However, the limited professional experience means cultural fit is primarily inferred from academic engagement.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and application through multiple academic projects and research presentations. The internship experience indicates an ability to contribute to development teams. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.