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Entry-level AI/ML Engineer with strong programming, deep learning, and problem-solving skills for sc
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate seeking opportunities as a Software Developer or AI/ML Engineer to apply programming, machine learning, deep learning, and problem-solving skills in developing intelligent and scalable applications.
Holy Mary Institute of Technology and Science
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Sri Gayathri College
Intermediate (MPC)
June 1, 2019 – May 31, 2021
Sri Chaitanya E-Techno High School
SSC
N/A – May 31, 2019
Traffic Sign Recognition
June 23, 2026 – Present
Developed a CNN-based model for traffic sign detection and recognition. Improved sign visibility using Enhance-Net under challenging conditions. Achieved 91.1% precision and 70.71% recall on the CURE-TSD dataset.
Mask Guard AI Face Mask Detection System
June 23, 2026 – Present
Built a face mask detection web application using Flask, TensorFlow, and CNN. Developed an API to classify mask/no-mask predictions with confidence scores. Designed a frontend for image upload and prediction display.
Programming Using Java
Infosys Springboard
June 1, 2026 – Present
SQL and Relational Databases 101
IBM
June 1, 2026 – Present
Machine Learning with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are academic and focused on computer vision, which aligns with an AI Engineer role. However, the diversity of projects is limited to two CNN-based applications. The candidate is still pursuing a B.Tech degree, indicating an early career stage. The lack of professional experience or diverse project types limits the assessment of cultural fit beyond a basic alignment with technical interest.
Soft Skills & Operational Fit
The candidate lists 'Problem Solving', 'Leadership', 'Time Management', and 'Quick Learner' as strengths. While these are valuable, there is no evidence in the provided data (projects, experience, test results) to objectively assess these claims. The candidate is an undergraduate student with no professional experience, which suggests a need for significant mentorship and structured operational guidance.