Curriculum Vitae
Alireza HassanNejad
ML Systems Engineer
Professional Summary
ML Systems Engineer focused on reliable machine-learning software and supporting infrastructure. Combines model development (PyTorch, TensorFlow, Keras) with systems concerns such as performance, concurrency, and production engineering tooling including CUDA, Docker, and Linux.
Core Competencies
Software Engineering
AI / Research
Professional Experience
Laqira Protocol
Dec 2022 – Present · Dubai, UAE
Software Engineer — Blockchain / Web3 R&D
- Work across multiple programming languages, runtimes, frameworks, databases, and infrastructure technologies according to system requirements.
- Contribute to software architecture, implementation, debugging, integration, performance optimization, and production engineering.
- Build Web3-enabled applications and services involving EVM ecosystems, blockchain data, transactions, wallets, and decentralized infrastructure.
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.
- 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.
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
Infrastructure & Engineering
Git · Docker · Linux · WSL2 · CUDA · Prometheus · Sentry
Programming Languages
Python · TypeScript · JavaScript · C · C++ · Go · Rust · Zig · SQL
AI / ML Stack
PyTorch · TensorFlow · Keras · NumPy · Pandas · GeoPandas
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.