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AI Engineer with 1+ years in Computer Vision, LLMs & 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
Ahmed CHAKROUN is an AI Software Engineer with 1.5 years of experience specializing in computer vision, large language models (LLMs), and deep learning. He has a proven track record of designing and scaling production-grade AI systems, including chatbots with low latency and real-time customer behavior analysis systems. His expertise spans Python, PyTorch, TensorFlow, and building robust, efficient AI inference engines and data pipelines. He also has strong skills in backend development and MLOps practices for reproducible AI workflows.
National School of Computer Science (ENSI)
Engineering Degree · Computer Science – Software Engineering
September 1, 2023 – September 1, 2026
PCP
Software Engineer
January 1, 2026 – Present
India
VisShop AI
Computer Vision Engineer
July 1, 2025 – February 1, 2026
India
Anavid
Computer Vision Engineer (Internship)
July 1, 2025 – September 1, 2025
Sfax, Sfax, Tunisia
Gestura - Sign Language Translation
June 29, 2026 – Present
Developed a real-time bidirectional sign language translation system based on LSTM models. Built a cross-platform mobile application (React Native), awarded a final project grade of 17.97/20.
Facial Recognition Access Control System
June 29, 2026 – Present
Developed a real-time facial recognition system (>98% accuracy) using YuNet and SFace. Secured authentication pipeline with TLS/SSL + ASCON encryption, deployed on ESP32 with MQTT communication.
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic and professional experiences in both Computer Vision and LLM/chatbot development, indicates a broad interest in AI applications. The involvement in a competitive programming club suggests a proactive and continuous learning mindset, which aligns well with a dynamic technical environment. The roles held, even with a relatively short professional timeline, show a consistent focus on AI engineering, making them a good fit for an AI Engineer role.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving and algorithmic skills through participation in programming competitions. The descriptions of project and work responsibilities suggest an ability to work on complex, real-world problems, manage project lifecycles, and focus on performance and data security. The remote work experience at PCP indicates adaptability and self-management.