AI Engineer with less than a year in Machine Learning & Deep 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
To obtain an entry-level position in a reputable organization where I can gain practical experience and grow professionally. I am eager to contribute through consistent effort, adaptability, and a results-oriented approach. My objective is to build a strong foundation while supporting the organization's long-term success.
Velammal Institute of Technology
B.Tech · Computer Science and Engineering
January 1, 2020 – January 1, 2024
ST. Andrew's Matric Higher Secondary School
12th HSC
January 1, 2018 – January 1, 2020
ST. Andrew's Matric Higher Secondary School
10th SSLC
January 1, 2017 – January 1, 2018
Pantech Solutions
Project Engineer
August 1, 2025 – Present
Hyderābād, Telangana, India
Lung Cancer Detection System
January 1, 2024 – December 31, 2024
Developed a machine learning-based system to detect lung cancer from medical imaging data using a Convolutional Neural Network (CNN). The project involved preprocessing medical images, training the model, and evaluating its performance to improve detection accuracy. This system was designed to support early diagnosis by providing an efficient and automated image classification approach.
Intelligent Traffic Violation Detection System
January 1, 2024 – December 31, 2024
Developed an AI-powered traffic violation detection system using YOLO and OpenCV to identify helmet violations, wrong-side driving, and traffic rule breaches from CCTV footage. The project was implemented using Python and focused on real-time vehicle and rider detection from surveillance video streams. Automated evidence capture and violation monitoring features were integrated to support efficient traffic management and road safety analysis.
American Sign Language Gesture Recognition System Using Deep Learning
January 1, 2024 – December 31, 2024
Developed a deep learning-based system to recognize and interpret American Sign Language (ASL) gestures to assist communication for deaf and mute individuals. The project was implemented using Python and focused on automated gesture recognition and translation. Feature extraction was performed using MFCC, and classification was carried out using Gaussian Mixture Models (GMM). The solution aimed to enhance accessibility by enabling effective gesture-based human-computer interaction.
Classroom Attention Monitoring System
January 1, 2024 – December 31, 2024
Developed an AI-powered classroom attention monitoring system using CNN, OpenCV, and PyTorch to analyze student engagement and attentiveness from real-time classroom video streams. The system was designed to detect inattentive behavior, sleeping students, mobile phone usage, and head pose direction through face detection and eye-state analysis techniques. An attention scoring mechanism and classroom analytics dashboard were implemented to provide insights into overall student participation and engagement levels. The project focused on real-time video processing, behavioral analysis, and intelligent classroom monitoring for enhancing learning outcomes.
PYTHON PROGRAMMING
Accord info matrix
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in AI/ML, aligning well with an AI Engineer role. The diversity of projects (medical, traffic, accessibility, education) shows a broad application interest. The future-dated 'Project Engineer' role, while not current experience, suggests an inclination towards technical guidance and collaboration. However, the lack of professional experience in a direct AI engineering role and the low English test score (7/100) might pose initial challenges for cultural integration in a fast-paced, communication-heavy environment. The psychometric test score of 0 provides no insight into work attitude or team collaboration.
Soft Skills & Operational Fit
The candidate's experience as a Project Engineer, even if future-dated, suggests an ability to explain complex concepts, define project scope, and support implementation, which are valuable soft skills for collaboration and mentorship within an engineering team. The academic projects indicate a results-oriented approach and problem-solving capabilities. However, the psychometric test score is 0, which is insufficient to assess logical reasoning, work attitude, stress handling, and team collaboration.