Mirjafar Jafarzadeh

Summary

ML/AI engineer with a first-principles approach to machine learning systems — implementing forward passes, deriving gradients by hand, and writing training loops without abstraction. My conviction is that genuine understanding of a system requires having built it, and that the mathematical substrate of a model is not separable from its engineering reality.

Primary technical focus: deep learning, natural language processing, large language models, and computer vision. Developing interest in quantum computing at the level of quantum circuits and gate-model computation via Qiskit. Building toward a research-grade understanding of probability theory, real analysis, and the linear-algebraic foundations of optimization.

Education

Middle East Technical University (Baku Campus)
Türkiye-Azerbaijan University 2024 — 2029 Baku, Azerbaijan

B.Sc. Computer Engineering

Dual enrollment

Mathematics: Calculus, Multivariable Calculus, Linear Algebra, Differential Equations, Statistical Methods
Programming: C Programming, Introduction to Computer Engineering Concepts, Programming Language Concepts
Theory: Data Structures, Algorithms, Discrete Computational Structures, Formal Languages and Abstract Machines
Systems: Computer Organization, Logic Design, Operating Systems, Embedded Systems Development, Electrical Circuits
Software: Software Engineering, Data Management and File Structures, Signals and Systems
Capstone: Computer Engineering Design I and II

DIV Academy 2025 — 2026 Baku, Azerbaijan

ML/AI Engineering

Intensive applied program covering the full ML/AI engineering stack.

Machine Learning: supervised and unsupervised learning, model evaluation, feature engineering
Deep Learning: neural network architectures, backpropagation, optimization techniques
Computer Vision: image classification, object detection, convolutional networks
Natural Language Processing and LLMs: text processing, fine-tuning, prompt engineering
Retrieval-Augmented Generation (RAG): vector databases, embedding pipelines, document QA systems
End-to-end project work: model deployment, API integration, production-ready pipelines

Volunteering

Quantum Azerbaijan Society 2025 — Present Baku, Azerbaijan

Co-Founder

Community in Azerbaijan dedicated to quantum computing and mechanics. The society's mission is to share the latest knowledge in the field of quantum technologies, making them more accessible through articles and informative publications.

Co-founded the society and established its mission, structure, and editorial direction
Curate and publish articles and posts on quantum computing and quantum mechanics
Grow and engage a community of enthusiasts, students, and researchers across Azerbaijan

Technical Skills

Languages

Python
C / C++
SQL / PostgreSQL

Frameworks

PyTorch
TensorFlow
NumPy
Scikit-Learn
Pandas
Matplotlib

ML Domains

Deep Learning and Neural Architecture Design
Natural Language Processing / LLMs
Computer Vision

Mathematics

Multivariable Calculus
Linear Algebra
Probability Theory and Statistics
Real Analysis

Dev Tools

VS Code
Jupyter
Git
Docker