Curriculum Vitae
Alireza HassanNejad
Statistical Programmer
Professional Summary
Data- and modeling-focused Engineer applying statistics, probability, data mining, state estimation, and predictive analytics to problems with incomplete and uncertain information. Background spans load forecasting, customer classification, EV adoption analysis, and decision modeling across engineering domains.
Core Competencies
Problem Solving & Modeling
Software Engineering
AI / Research
Professional Experience
Niroo Research Institute
2018 – 2022 · Tehran, Iran
Full-Stack Developer / Software Engineer
- Designed and developed software for electric-vehicle charging-station placement, load forecasting, GIS analysis, and power-system research.
- Applied statistics, probability, machine learning, data mining, state estimation, optimization, algorithms, and data structures to engineering problems involving incomplete and uncertain information.
- Worked across mathematical modeling, scientific programming, algorithm engineering, and software implementation.
- Built engineering and scientific desktop applications using Python, C++, Qt, PyQt, and related technologies.
Laqira Protocol
Dec 2022 – Present · Dubai, UAE
Software Engineer — Blockchain / Web3 R&D
- Design and develop production software across Web3, blockchain, web, mobile, backend, and real-time systems.
- Contribute to software architecture, implementation, debugging, integration, performance optimization, and production engineering.
TOBTC
Dec 2022 – Present
Full-Stack Developer
- Full-stack engineering across frontend and backend application development.
- Contribute to application architecture, implementation, integration, and product development.
Technical Skills
Programming Languages
Python · TypeScript · JavaScript · C · C++ · Go · Rust · Zig · SQL
AI / ML Stack
PyTorch · TensorFlow · Keras · NumPy · Pandas · GeoPandas
Desktop / Scientific / GIS
C++ · Qt · PyQt · Tkinter · Kivy · Scientific Desktop Applications · GIS Data Processing · Graph-Based GIS Algorithms · Engineering Simulation Software
Research & Technical Expertise
Mathematical Modeling & Probabilistic Reasoning
Mathematical Modeling · Probability · Statistics · Statistical Inference · Uncertainty Modeling · Decision Analysis · Data Analysis · Numerical Methods · Computational Mathematics
Artificial Intelligence & Machine Learning
Machine Learning · Deep Learning · Reinforcement Learning · Neural Networks · Classification · Regression · Clustering · Data Mining · Predictive Modeling · Forecasting · Computer Vision · Pattern Recognition · Feature Analysis
Technologies and ecosystems include PyTorch, TensorFlow, Keras, NumPy, Pandas, and GeoPandas.
Mathematical & Metaheuristic Optimization
Multi-Objective Optimization · Pareto Optimization · Linear / Nonlinear Optimization · Constraint Optimization · Combinatorial Optimization · Metaheuristic Optimization · GA · NSGA-II · PSO · MOPSO · ACO · Firefly · Bees Algorithm · ABC · GOA · SFLA · KHA · IWO · Harmony Search · Simulated Annealing · Tabu Search · Cultural Algorithm · TLBO · ANFIS · GMDH
Education
University of Mazandaran (UMZ)
2026 – Present
PhD — Electrical Engineering, Electronics
Research interests at the intersection of electronics, computation, artificial intelligence, mathematical methods, algorithms, and engineering systems.
University of Science and Technology of Mazandaran (USTM)
2016 – 2018
M.Sc. — Electrical Engineering, Power Systems
Mazandaran University of Science and Technology (USTMB)
2012 – 2016
B.Sc. — Electrical Engineering, Power Engineering
Publications
- Hassannejad, A.; Sahraie, E.; Zakariazadeh, A.; Gholami, M. Prediction Of Market Power Competitive Levels Variation And Players Collusion Form By Decision Tree. 33rd International Power System Conference (PSC), Tehran, Iran, 2018.
Certifications
- Front End Development Libraries
- Back End Development and APIs
- Scientific Computing with Python
- Data Visualization
- JavaScript Algorithms and Data Structures
Languages
- Persian: Native
- English: Working Proficiency
Based on the full CV of Alireza HassanNejad. Role-specific pages change emphasis only — not employers, tools, or outcomes.