Curriculum Vitae
Alireza HassanNejad
GIS Data Engineer
Professional Summary
Geospatial Software Engineer experienced in GIS data processing, graph-based road-network and traffic analysis, and conversion of electrical-network GIS objects and spatial information. Combines spatial algorithms with scientific desktop software and engineering analytics.
Core Competencies
Software Engineering
AI / Research
Engineering Domains
Professional Experience
Niroo Research Institute
2018 – 2022 · Tehran, Iran
Full-Stack Developer / Software Engineer
- Designed graph-based algorithms for GIS road-network and traffic analysis.
- Developed methods for processing and converting electrical-network GIS objects and spatial information.
- Designed and developed software for electric-vehicle charging-station placement, load forecasting, GIS analysis, and power-system research.
- Developed neural-network and machine-learning solutions for prediction and data analysis using TensorFlow and Keras.
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.
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
Desktop / Scientific / GIS
C++ · Qt · PyQt · Tkinter · Kivy · Scientific Desktop Applications · GIS Data Processing · Graph-Based GIS Algorithms · Engineering Simulation Software
Databases & Data Systems
PostgreSQL · MySQL · MongoDB · SQLite · Redis
Programming Languages
Python · TypeScript · JavaScript · C · C++ · Go · Rust · Zig · SQL
AI / ML Stack
PyTorch · TensorFlow · Keras · NumPy · Pandas · GeoPandas
Research & Technical Expertise
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.
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, 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.