Hadi Davardoust

📧 davardoust@gmail.com
📞 +989353449388
💼 LinkedIn
🎓 Google Scholar

🎓 Education

University of Tehran | Nov 2020 - Feb 2023
Master’s degree in Network Science and Technology, GPA: 4/4 (18.52/20)

📝 Thesis: Hate speech classification in social networks using machine learning models, supervised by Dr. Hadi Zare
📚 Selected Courses: Machine Learning and Data Mining (18.25/20), Simulation and Modeling (20/20), Cellular Automation and Complexity (18.5/20), Advanced Network Science (18.3/20), Mathematical Theory of Systems (18.52/20), Special Topics (19.74/20)

Shahid Madani University | Sep 2007 - March 2012
Bachelor’s degree in Information Technology engineering

💻 Capstone Project: Building a Java SMS platform using Bluetooth for message delivery


🧠 Large Language Models	🏥 Healthcare Applications	🔍 Anomaly Detection
🩻 Medical Imaging	🕸️ Graph Neural Networks	📊 Network Analysis
📈 Medical Data Representation	🔄 Transfer Learning	👁️ Computer Vision

Machine Learning Engineer | Tehran, Iran

🔎 Built a retrieval system processing 10M+ medical documents annually, measuring retrieval reliability (90% confidence) versus insufficient evidence cases
📄 Developed document classifier categorizing medical records into 8 types (prescriptions, lab results, doctor reports) with 68% accuracy, flagging uncertain predictions for human review
⚠️ Designed anomaly detection tools flagging unusual/incomplete patient-submitted documents during medical claim processing
🌐 Created Iran’s first fully online health insurance platform with real-time policy visibility, revealing gaps in patient records for certain subgroups
🤝 Collaborated on automated claim triage system identifying cases requiring human adjudication due to insufficient/conflicting data

Machine Learning Engineer | Tehran, Iran

💬 Improved sentiment analysis for call transcripts, boosting customer satisfaction detection accuracy from 83.2% to 91.1%
📝 Developed LDA-based text summarization system for call transcripts, expediting customer pain point identification
🎭 Implemented Liveness Detection algorithms for e-KYC systems using facial recognition, motion analysis, and biometric data
👤 Enhanced Face Verification accuracy by optimizing FaceNet algorithm (89.32% → 95.34%)
🐳 Utilized Docker for e-KYC projects, ensuring consistent environments and streamlined deployment

Software Engineer | Tehran, Iran

📊 Developed predictive model for personnel exit time estimation, enabling proactive resource planning
🔮 Improved demand forecasting accuracy using advanced ML algorithms
👥 Designed comprehensive HR solutions for 800+ personnel including insurance and benefits management
🗄️ Developed data warehouse solution with ETL processes, integrating data from existing ERP systems
📊 Implemented BI reports using Power BI for interactive visualizations and data-driven decisions
👨‍💼 Created CEO-level HR analytics dashboards (turnover, payrolls, healthcare, work hours)
📋 Developed Project Management system integrated with Microsoft Project Server
✅ Developed Quality Assurance Management system
⏱️ Implemented tailored timesheet and tasksheet solutions across departments
🎯 Led recruitment efforts, designing interview questions and code challenge assessments
👨‍🏫 Hired and mentored a team of 5 developers from top Iranian universities

Research Assistant | Tehran, Iran

🩺 Contributed to Persian Medical Question Answering System development, applying advanced NLP techniques for accurate information retrieval and response generation

Research Assistant | Tehran, Iran

⚗️ Researched and implemented novel Graph Neural Network architectures (including Graph Transformers) for molecular property prediction, improving MAE by 4.5% over previous best model

🎓 PyTorch Tutorial | University of Tehran | April 2023 - July 2023
Instructed PyTorch workshops for students working on dissertation projects
🐍 Introduction to Python | University of Tehran | Sep 2022 - Dec 2022
Instructed introductory Python courses for new students in faculty forums
📐 Simulation and Modeling (TA) | University of Tehran | March 2022 - July 2022
Facilitated course through homework correction and unwind sessions
🤖 Machine Learning and Pattern Recognition (TA) | University of Tehran | Sep 2021 - March 2022
Created and taught neural network lessons including plans, unwind sessions, and homework correction

📝 H. Davardoust, H. Zare, H. Rafiee Zade, “The Dark Side of Instagram: A Large Dataset for Identifying Persian Harmful Comments” — submitted to SoCal NLP Symposium 2024
📝 H. Rafiee Zade, H. Zare, M. Ghassemi Parsa, H. Davardoust, M. Shariat Bagheri, “DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction” — Thirteenth International Conference on Complex Networks and Their Applications 2024
📝 H. Davardoust, H. Zare, “Complex network analysis of keywords co-occurrence in Graph Neural Network” — Learning on Graphs Conference 2025

🥇 Ranked in top 0.5% in National University Entrance Examination for Master’s Programs in Computer Engineering (2020)
🥈 2nd Place in Master’s Program in Network Science and Technology at University of Tehran (2023), based on cumulative GPA
🏅 Received Outstanding Master’s Thesis Award for best thesis in the program (2023), achieving highest possible score in defense