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Computer Vision Engineer with less than a year in AI and 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
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 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 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 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.