2024–present
M.Sc. in Artificial Intelligence
Islamic Azad University, Science and Research Branch
First-semester GPA 17.83/20; selected coursework includes Machine Learning and Deep Learning.
Academic curriculum vitae.
Machine Learning Researcher in AI for Biomedicine
Machine-learning researcher and software engineer developing interpretable, data-efficient models for biomedical problems. Research spans ECG representation learning, clinical-risk modeling, and cold-start drug-target affinity prediction, with an emphasis on robust evaluation under distribution shift.
Education
2018–2023
B.Sc. in Computer Engineering
Sharif University of Technology
Final project on an AI-supported gamified learning application.
Peer-reviewed publications
4 published papers
Journal articles
Publication J1
Comparative study of hybrid quantum-classical models for cold-start drug–target affinity prediction: a partial pilot analysis
Scientific ReportsSep 2026
Publication J2
Interpretable heart disease risk prediction via FCA-constrained logistic regression
Health Informatics JournalApr 2026
Publication J3
Quantum Angle–distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis
BioData MiningJan 2026Vol. 19, article 14
Conference paper
Publication C1
Meta-Optimized Risk-Aware Portfolio Management: A Hybrid Deep Reinforcement Learning and LSTM-GRU Ensemble
2025 10th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)Sep 2025pp. 1–6
Selected research contributions
Publisher-verified roles
2026
Interpretable heart disease risk prediction
Credited in the published author-contribution statement with conceptualization, methodology, coding, formal analysis, and writing the original draft.
Publication details2026
Quantum Angle-distance Kernel for ECG analysis
Credited in the published author-contribution statement with writing and generating the computational code.
Publication detailsTeaching experience
2024–2025
Teaching Assistant, Machine Learning
Islamic Azad University, Science and Research Branch
Tutorials, assignment support, and assessment.
Outreach and service
2020–present
Volunteer Python and software-testing instructor
Community instruction
Programming instruction and career support for under-resourced young learners.
Selected professional experience
Feb 2026–present
Co-Founder & CTO
Kinematum
Leading technical development at an AI and biomechanics company focused on markerless posture and motion analysis. Translated six months of laboratory research into a production-facing posture-analysis platform powering KinemaCoach.
Sep 2025–Feb 2026
Artificial Intelligence Researcher
Neuromusculoskeletal Disorder Research Center AI Lab
Applied research on markerless human posture estimation: developing and evaluating a new computer-vision model and translating the findings into a product-ready prototype.
May 2025–present
Graduate Research Assistant
Islamic Azad University, Science and Research Branch
Graduate research in machine learning and deep learning.
2024–present
Research & Development Engineer
Tehran Smart Grid Command Center
Research and engineering for intelligent software supporting power-network operations and emergency response.
2024–present
Backend Lead
Islamic Azad University platform
Backend architecture and performance for a student and alumni job-networking platform.
Apr 2024–Nov 2024
Software Engineer
MH Holding
Software engineering spanning backend development and machine learning.
2024
Software Engineer
Nexu, Spain
Data-intensive backend systems for intelligent decision workflows.
Jul 2023–May 2024
Software Engineer
System Group (Hamkaran System)
Testing infrastructure and automated reliability work for enterprise software.
2020–2023
Co-founder & CTO
Bamachoob
Technical leadership, hiring, and software systems for warehouse and transportation operations.
Methods and technical skills
Research methods
- Kernel and representation learning
- Support vector machines and logistic regression
- Formal Concept Analysis
- Deep learning and reinforcement learning
- Patient-level evaluation, repeated splits, ablation studies, and robustness analysis
Engineering
- Python
- Go
- Java
- JavaScript
- SQL and NoSQL systems
- Testing and data pipelines
- Backend architecture