Curriculum Vitae
Alireza HassanNejad
Applied AI Engineer
Professional Summary
Applied AI Engineer translating machine-learning and predictive models into engineering software. Experience includes TensorFlow/Keras solutions for forecasting and analysis, plus research-to-implementation workflows on uncertain, incomplete data.
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.
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
Backend
Bun · Node.js · Hono · Express.js · Django · Flask · REST APIs · WebSockets · Event-Driven Services · Real-Time Communication · Distributed Backend Systems
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.