Building practical AI systems that teams can trust.

Built models to predict response to Cardiac Resynchronization Therapy, supporting cardiologists with data‑driven decisions.

Techniques: classical ML, clinical feature engineering, model explainability

Designed an AI‑powered calendar and task scheduler that combines LLMs with cloud services to plan work from documents, emails, and notes.

Focus: retrieval design, orchestration, evaluation, and safety

• Service time reduction via routing for sandblasting locations.
• Detecting ISP service quality and customer churn risk.
• Churn and fraud detection on transactional and behavioral data.

• EEG analysis for epilepsy diagnosis.
• Handwriting‑based learning disorder detection.
• Multilingual (EN / FA) scientific text recognition.

• DOI‑Collector for academic workflows.
• Audio‑to‑text transcription app (mic & system audio).

• Estimating electricity use in smart homes.
• Peak‑load prediction and energy optimization.

Delivered stakeholder web platforms using React, TypeScript, and cloud‑native backends, from prototype to production.

• Lecturer and speaker at international computer-related conferences.
• Submitting ISI-indexed research articles in artificial intelligence and optimization, focusing on novel models, algorithms, and practical problem-solving.
• Publishing books on the application of AI/machine learning to real-world business problems and management strategy.