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AI Engineer with less than a year in Machine Learning & Computer Vision
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/ML engineer with strong hands-on experience in machine learning, deep learning, and computer vision. Skilled in Python, TensorFlow, PyTorch, and data-driven model development. Strong problem-solving abilities with experience building real-world ML projects.
K.R. Mangalam University
Bachelor of Technology · Computer Science and Engineering (Artificial Intelligence & Machine Learning)
August 1, 2023 – June 30, 2027
Hardayal Public School
Senior Secondary Education (CBSE)
June 1, 2022 – May 31, 2023
Triazine Software Pvt Ltd
AI/ML Intern
June 1, 2025 – August 1, 2025
Noida, Uttar Pradesh, India
Vehicle Classification System
January 1, 2026 – February 1, 2026
Implemented a vehicle classification model to detect and categorize vehicles such as car, bus, truck, and bike from video streams. Utilized CNN-based object detection models (YOLOv8) with OpenCV for real-time vehicle recognition.
Drone Technology Bootcamp
May 1, 2025 – May 1, 2025
Gained hands-on exposure to drone systems, flight dynamics, and UAV components. Learned fundamentals of drone navigation, control systems, and aerial data acquisition. Participated in practical sessions involving drone assembly, calibration, and flight operations.
SAFE EYE - Real-Time Crime Detection System
January 1, 2025 – May 1, 2025
Designed a computer vision-based surveillance system for real-time detection of criminal and suspicious activities. Implemented YOLOv8 with OpenCV to process live video feeds and detect abnormal events.
Data Analysis with Python
IBM
June 1, 2026 – Present
Machine Learning & Pattern Recognition
Samatrix.io
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are primarily academic and focused on computer vision, which aligns with an AI Engineer role. The 'Drone Technology Bootcamp' shows an interest in diverse applications of technology. However, the overall breadth of projects and experience is limited, which might indicate a narrower exposure to different problem domains or team structures. The candidate is still early in their career, which suggests potential for growth and adaptability within a team.
Soft Skills & Operational Fit
The candidate's resume mentions 'Leadership' and 'Pressure Management' as soft skills. The project descriptions are clear, indicating good communication of technical work. The academic projects and internship show an ability to work on practical AI/ML tasks, suggesting a foundational operational fit for an AI Engineer role, though with limited real-world experience.