Curriculum Vitae
Alireza HassanNejad
Applied Machine Learning Engineer
Professional Summary
AI/ML Software Engineer and PhD researcher applying machine learning, deep learning, neural networks, data mining, and predictive modeling to engineering problems. Experience includes TensorFlow, Keras, PyTorch, NumPy, Pandas, and GeoPandas, with research spanning forecasting, classification, and uncertainty-aware modeling.
Core Competencies
AI / Research
Software Engineering
Engineering Domains
Professional Experience
Niroo Research Institute
2018 – 2022 · Tehran, Iran
Full-Stack Developer / Software Engineer
- Developed neural-network and machine-learning solutions for prediction and data analysis using TensorFlow and Keras.
- Applied statistics, probability, machine learning, data mining, state estimation, optimization, algorithms, and data structures to engineering problems involving incomplete and uncertain information.
- Developed analytical methods for customer classification and electric-vehicle adoption analysis.
- Designed and developed software for electric-vehicle charging-station placement, load forecasting, GIS analysis, and power-system research.
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
AI / ML Stack
PyTorch · TensorFlow · Keras · NumPy · Pandas · GeoPandas
Programming Languages
Python · TypeScript · JavaScript · C · C++ · Go · Rust · Zig · SQL
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
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.
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, 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, 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.