Mehdi Rasul

B.S. Computer Science | GPA: 3.70 (Dean’s List)

• Honors: Sponsored Full-Ride Scholarship (0.5% acceptance rate).
• Relevant Courses: Advanced Programming, Artificial Intelligence, Data Structures, Linear Algebra & Probability, Fundamentals of Computer Systems, Multivariable Calculus.

Software Engineer Intern

• Automated SSL/TLS checks across 200+ domains using a scripted Qualys SSL Labs API integration; parsed grades and vulnerability flags (e.g., Heartbleed, POODLE) into a single risk dashboard.
• Deployed a self-hosted WAF-bypass testing rig with an automated runner for custom payloads (SQLi, XSS, path traversal), enabling repeatable scans per domain.
• Compiled retail and corporate domain lists for all operating banks across 5 major post-Soviet countries.

Software Engineer Intern

• Built and deployed a production FAQ chatbot for MyGov (Azerbaijani national e-services platform) covering 20+ service categories.
• Engineered a context-aware Python framework enabling contextual dialogue tracking, intent classification, and adaptive response logic.
• Designed a RAG pipeline with GPT-5, ChromaDB, and text-embedding-3-large for semantic retrieval, constraining generation to official sources.

Software Engineer Intern

• Built and refined loan repayment prediction models in Dataiku, reducing false positives while maintaining high accuracy through an automated reporting pipeline.
• Engineered features from large customer datasets (SQL, Python) and hardened data quality checks.
• Visualized model results in executive-level reports to guide data-driven credit policy decisions.

Azerbaijan National Academy of Sciences | Advisor: Dr. Ramiz Aliguliyev

• Applied feature-extraction using SVM, Logistic Regression, Decision Trees, Random Forest, AdaBoost, XGBoost, and Naïve Bayes to IMDb reviews.
• Compared results across English vs. Azerbaijani translated sets, highlighting the impact of limited language resources on model performance.