Curriculum Vitae
Alireza HassanNejad
Electronics Software Engineer
Professional Summary
Software Engineer with electronics and scientific desktop systems experience, including Python, C++, Qt, and PyQt applications for engineering and research. Currently pursuing a PhD in Electrical Engineering — Electronics, with interests spanning electronics, computation, AI, and engineering systems.
Core Competencies
Software Engineering
Professional Experience
Niroo Research Institute
2018 – 2022 · Tehran, Iran
Full-Stack Developer / Software Engineer
- Built engineering and scientific desktop applications using Python, C++, Qt, PyQt, and related technologies.
- Designed and developed software for electric-vehicle charging-station placement, load forecasting, GIS analysis, and power-system research.
- Applied multi-objective optimization to engineering planning and measurement-device allocation problems.
- Developed methods for processing and converting electrical-network GIS objects and spatial information.
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.
- Work across different technologies and development environments according to product and engineering requirements.
Laqira Protocol
Dec 2022 – Present · Dubai, UAE
Software Engineer — Blockchain / Web3 R&D
- Contribute to software architecture, implementation, debugging, integration, performance optimization, and production engineering.
Technical Skills
Programming Languages
Python · TypeScript · JavaScript · C · C++ · Go · Rust · Zig · SQL
Desktop / Scientific / GIS
C++ · Qt · PyQt · Tkinter · Kivy · Scientific Desktop Applications · GIS Data Processing · Graph-Based GIS Algorithms · Engineering Simulation Software
Software Engineering
Full-Stack Development · Backend Engineering · Frontend Engineering · Desktop Development · Mobile Development · Distributed Systems · Real-Time Systems · Event-Driven Architecture · API Design · System Architecture · Algorithm Design · Data Structures · Design Patterns · Concurrency · Multithreading · Performance Optimization
AI / ML Stack
PyTorch · TensorFlow · Keras · NumPy · Pandas · GeoPandas
Research & Technical Expertise
Power Systems & Electrical Engineering
Distribution Systems · State Estimation · Measurement Device Allocation · Reactive Power Markets · Market Optimization · Load Forecasting · EV Charging Infrastructure · GIS-Based Power-System Analysis · Statistical Modeling
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 Marzouni, Alireza; Zakariazadeh, Alireza; Siano, Pierluigi. Measurement devices allocation in the distribution system using state estimation: a multi-objective approach. International Transactions on Electrical Energy Systems, 30(8), e12469, 2020.
- Hassannejad Marzouni, A.; Zakariazadeh, A. Error Modeling in Distribution Network State Estimation Using RBF-Based Artificial Neural Network. Iranian Journal of Electrical and Electronic Engineering, 16(3), 292–301, 2020.
- Hassannejad Marzouni, Alireza; Zakariazadeh, A. Multi-objective Measurement Devices Allocation Using State Estimation in the Distribution System. Journal of Iranian Association of Electrical and Electronics Engineers, 16(1), 103–117, 2019.
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.