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AI Engineer with less than a year in LLM Orchestration & 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
Final-year Software Engineering student at WeThinkCode_ and BSc Computer Science graduate. Passionate AI Engineer with a strong foundation in software development, machine learning, and LLM orchestration. Experienced in building computer vision classification systems and integrating generative AI tools. Eager to contribute to high-impact AI/ML projects.
WeThinkCode_
Software Engineering
August 1, 2025 – Present
Sefako Makgatho Health Sciences University
BSc Mathematical Science · Computer Science
August 1, 2018 – June 30, 2021
Flyrank
AI Engineer Intern
June 1, 2026 – Present
India
WeThinkCode_
Volunteer Peer-to-Peer Tutor
September 1, 2025 – Present
Johannesburg, Gauteng, South Africa
AI Image Verification System (Hackerrank Hackathon)
June 21, 2026 – Present
• Developed a computer vision classification model to verify user-submitted images (cars, laptops, boxes) against reported complaint data. • Implemented image preprocessing and model training to ensure high classification accuracy for automated quality assurance.
Robot Worlds
June 21, 2026 – Present
• Designed a multi-client/server robot simulation using TCP sockets, OOP, and agile design patterns.
Cultural Fit Analysis
The candidate's academic projects and internship experience show a clear focus on AI/ML, aligning well with an AI Engineer role. Their involvement in a hackathon and tutoring indicates a drive for continuous learning and community contribution. The diversity of projects (computer vision, robot simulation) and exposure to various technologies (Python, Java, C++) suggest adaptability and a broad technical interest, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their tutoring role and clear project descriptions. Their involvement in a hackathon and peer-to-peer tutoring suggests a proactive attitude, leadership potential, and a collaborative spirit. The agile design patterns mentioned in a project indicate an understanding of modern development methodologies.