01
Artificial Intelligence
Implementation and experimentation with modern deep learning systems and neural architectures.
- Deep Learning
- Machine Learning
- Computer Vision
- Vision Transformers
- CNN / Image Classification
AI Engineer • Researcher • Reverse Engineering Enthusiast
Shayan
Jafari
Building intelligent systems at the intersection of artificial intelligence, medical imaging, and advanced software analysis.
Junior AI Research Engineer with hands-on experience in Deep Learning, Computer Vision, Medical Imaging, research implementation, binary analysis, and reverse engineering.
AI / ML
MEDICAL AI
REVERSE ENGINEERING
02
Selected Projects
04
Core Focus Areas
02
Professional Roles
2024
AI Industry Start
01 / PROFILE
About Me
Research-minded engineering across AI, medical imaging and low-level software analysis.
I work across Deep Learning, Computer Vision, Medical Imaging, and Reverse Engineering, with a strong interest in modern neural architectures and intelligent systems for real-world applications.
My experience includes implementing research papers, building and evaluating deep learning pipelines, studying Vision Transformer architectures, and performing static and dynamic binary analysis in proprietary embedded environments.
I value analytical thinking, technical documentation, independent experimentation, and close collaboration with multidisciplinary engineering teams.
LocationTehran, Iran
Current RoleReverse Engineer — Arad
EducationB.Sc. Computer Science
LanguagesPersian / English
FocusAI Research + Reverse Engineering
02 / CAPABILITIES
Areas of Expertise
A focused technical profile spanning intelligent systems, medical imaging, binary analysis, and research implementation.
02
Medical AI
Research-driven medical image classification and AI-assisted pulmonary disease analysis.
- Medical Imaging
- Lung Disease Classification
- LungMaxViT Implementation
- Diagnostic Image Pipelines
- PyTorch Research Workflows
03
Reverse Engineering
Static and dynamic analysis of proprietary embedded systems with low-level code inspection.
- Binary Analysis
- Static / Dynamic Analysis
- IDA Pro
- Custom Assembly Analysis
- Decompiler Validation
04
Research Engineering
Paper implementation, experimental evaluation, documentation and technical collaboration.
- Research Paper Implementation
- Experiment Design
- Technical Documentation
- Python / C / C++
- Git / Jupyter / Linux
03 / SELECTED WORK
Selected Projects
Two representative projects from AI research and reverse engineering.
MEDICAL AIPROJECT / 01
VISION TRANSFORMERPYTORCH • CNN
Medical AI / Deep Learning
Lung Disease Classification using Deep Learning
Research implementation of LungMaxViT for medical image classification, including development of a model for 14 pulmonary diseases and one healthy class.
ROLEAI Programmer / Research Implementation
CONTEXTICT Research Institute
Reverse Engineering / Embedded Systems
Embedded System Reverse Engineering
Analysis of proprietary embedded control systems using static and dynamic techniques, custom assembly inspection in IDA Pro, documentation, and validation of custom decompiler outputs.
ROLEReverse Engineer
CONTEXTArad
LOW LEVELPROJECT / 02
0x180001060movzxeax, byte ptr [r10]
0x180001064lear10, [r10+1]
0x180001068addecx, eax
0x18000106Aaddr9d, ecx
0x18000106Dsubr8, 1
0x180001071jnzloc_180001060
IDA PRODECOMPILER VALIDATION
04 / CAREER
Experience
Hands-on work in reverse engineering and AI research implementation.
Reverse Engineer
Participating in reverse engineering of proprietary embedded control systems.
- Static and dynamic binary analysis
- Custom assembly analysis inside IDA Pro
- Technical documentation
- Validation of custom decompiler outputs
- Collaboration with software and mechanical engineering teams
Artificial Intelligence Programmer Intern
Independent implementation and experimentation under research supervision.
- Implemented the LungMaxViT research paper
- Developed a model for 14 pulmonary diseases plus one healthy class
- Studied Vision Transformer architectures
- Built and evaluated Deep Learning pipelines
05 / INTERESTS
Research & Interests
Areas that shape my technical direction and ongoing study.
01
Artificial Intelligence
Intelligent systems and modern learning architectures.
02
Deep Learning
Neural methods for high-dimensional visual problems.
03
Computer Vision
Visual recognition and image understanding.
04
Medical Imaging
Image-based analysis for healthcare and diagnosis research.
05
Vision Transformers
Transformer-based architectures for vision tasks.
06
Reverse Engineering
Program behavior, binaries, assembly and decompiler analysis.
07
Foundation Models
Emerging general-purpose model architectures.
08
Low-Level Programming
Software behavior closer to machine and binary representations.
06 / TOOLKIT
Skills & Technologies
A compact view of the languages, frameworks, tools and systems in my current technical toolkit.
PROGRAMMING
PythonCC++Assembly Analysis
AI / ML
Deep LearningMachine LearningComputer VisionMedical ImagingVision TransformersCNNImage Classification
FRAMEWORKS
PyTorchTensorFlowKeras
TOOLS
IDA ProGitGitHubKaggleJupyter Notebook
OPERATING SYSTEMS
WindowsUbuntuFedora
07 / BACKGROUND
Education & Credentials
Academic foundation, certifications, honors and technical communication.
Education
Bachelor of Science in Computer Science
Islamic Azad University, Central Tehran Branch
Current Semester: 6High School Diploma
National Organization for Development of Exceptional Talents (SAMPAD)
Certificates
Deep Learning
Data Engineering
Python Programming
Advanced Artificial Intelligence
In ProgressHonors & Presentation
Ranked 5th in National Physics Olympiad
SAMPAD Graduate
National Organization for Development of Exceptional Talents
Imbalanced Data in Artificial Intelligence
08 / CONTACT
Let’s Build Something Intelligent.
For AI, medical imaging, research, reverse engineering, or advanced software engineering conversations, reach out by email or connect through my professional profiles.