Computer Vision Engineer with less than a year in AI and deep learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year Computer Science undergraduate specializing in computer vision, deep learning, and software development. Skilled in building CNN models, image-processing systems, and full-stack applications, seeking a Computer Vision Engineer Intern role to apply AI knowledge to real-world projects.
Uva Wellassa University of Sri Lanka
BSc(Hons) in Computer Science and Technology · Computer Science and Technology
August 1, 2022 – Present
Technocolabs Softwares
Computer Vision Engineer Intern
September 1, 2025 – November 1, 2025
India
A CNN-Based Detection of GAN-Synthesized Faces with Improved Resource Efficiency
June 1, 2026 – Present
Developing a lightweight CNN to detect GAN-generated faces with efficient, low-resource inference. Applies knowledge distillation, pruning, and INT8 quantization to optimize performance for low-resource.
View ProjectAI-Powered Insurance Claim Automation for Logistics
June 1, 2026 – Present
Developed AI system generating insurance claims from CV-detected shipment damages using LLMs. Combined CV detection with LLM reports to fully automate accurate claim processing.
View ProjectAI-Powered Damage Detection & Automated Claim Processing System
June 1, 2026 – Present
Built AI system detecting package damages and auto-generating insurance claims using CV and LLMs. Integrated CV damage detection with LLM reports to automate inspection and documentation.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong alignment with the target role of Computer Vision Engineer, particularly in applying AI to real-world problems like damage detection and claim processing. The academic project on GAN-synthesized faces shows an interest in cutting-edge research. However, the overall diversity of projects is somewhat limited, primarily focusing on CV-LLM integration for automation. The experience level (internship and ongoing bachelor's degree) suggests a junior profile, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted AI systems. The focus on automation and efficiency suggests a problem-solving mindset. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.