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AI Engineer with less than a year in Python, Machine Learning, and Web Development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Software Engineering student with a robust skill set in AI, Data Science, and Full-Stack Web Development. Proven ability to build and deploy complex systems, including a multimodal fraud detection system and a hybrid semantic retrieval engine. Passionate about leveraging cutting-edge technologies like BERT, PyTorch, and FastAPI to create impactful solutions. Seeking an entry-level role to apply technical expertise and contribute to innovative projects in a dynamic environment.
FAST - NUCES
Bachelor of Software Engineering · Software Engineering
August 1, 2023 – June 1, 2027
BookNest - Online E-Book Store
June 1, 2026 – Present
Developed a full-stack web app for browsing, purchasing, and reading books. Implemented search, wishlist, ratings & reviews.
Web UI Automation Framework
June 1, 2026 – Present
Built a scalable test automation framework using Selenium & Cucumber (BDD). Applied Page Object Model and generated reports with Allure. Supported data-driven testing (Excel, DB, Redis).
Hybrid Semantic Retrieval System (NLP + Deep Learning)
June 1, 2026 – Present
Developed a search engine for 8K+ tickets using TF-IDF + GloVe embeddings. Implemented cosine similarity and GPU-based processing (PyTorch). Deployed an interactive app using Streamlit and Gradio.
Multimodal Fraud Detection System
June 1, 2026 – Present
Built a FastAPI system to detect phishing from text & images using BERT and TrOCR. Integrated VirusTotal, URLScan, and AbuseIPDB APIs for threat intelligence. Achieved 98.5% accuracy with multilingual support.
Classical Arabic Poetry Management System
June 1, 2026 – Present
Developed a JavaFX desktop app with CRUD operations. Integrated NLP-based morphological analysis (AlKhalil). Added search, frequency analysis, and modular 3-tier architecture.
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse range of interests, from AI/ML to web development and desktop applications. This breadth of exposure indicates adaptability and a willingness to explore different technical domains. The target role of 'AI Engineer' aligns well with the candidate's primary project focus. However, all projects are academic, which limits the assessment of real-world, collaborative, and production-oriented experience.
Soft Skills & Operational Fit
The candidate's involvement in university societies and event management suggests good organizational and teamwork skills. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.