Curriculum Vitae
Academic CV of Yousef Akbari • Prospective M.Sc. Candidate in Computer Science & Software Engineering.
Yousef Akbari
Prospective M.Sc. Candidate • Computer Science / Software Engineering
Research Interests
Applied AI & Computer Vision
Image processing, object detection, and pattern recognition across real-world and scientific datasets.
Machine Learning Operations (MLOps)
Bridging ML model development and production-grade deployment via automated pipelines, containerization, and CI/CD quality gates.
Software Reliability & Release Engineering
Empirical evaluation of deployment strategies (canary/blue-green), fault tolerance, and system observability under non-deterministic workloads.
Cloud-Native Systems & Intelligent Automation
Distributed containerized architectures and AI-driven decision-making in cluster orchestration.
Education
Bachelor of Engineering in Computer Engineering (Artificial Intelligence) Sep 2016 – Sep 2021
Azad University, North Tehran Branch • Tehran, Iran
Relevant Coursework: Artificial Intelligence, Computer Vision, Image Processing, Data Structures & Algorithms, Software Engineering, Database Systems, Computer Networks, Operating Systems, Discrete Mathematics, Probability & Statistics.
Technical Skills
Programming & Scripting
DevOps & Cloud-Native
AI/ML & Data Engineering
Systems & Infrastructure
Academic & Research Projects
Automated Detection and Classification of Solar System Planets 2020 – 2021
Bachelor's Capstone Project • Azad University, North Tehran Branch
- Designed a computer vision pipeline for detecting and classifying planets in astronomical imagery from NASA and ESA archives.
- Built a multi-stage preprocessing workflow including Gaussian/median filtering, CLAHE contrast enhancement, and background subtraction.
- Extracted shape descriptors (circularity, eccentricity), color histograms, and GLCM texture features; trained multi-class SVM and KNN classifiers for accurate celestial identification.
Python OpenCV scikit-learn NumPy Matplotlib
HR Biometric Attendance & Telemetry System 2025 – Present
Independent Engineering Project • Khademan Emam Zaman
- Developed Python services interfacing with ZKTeco biometric terminals via socket communication (pyzk) for real-time record synchronization across remote sites.
- Built automated Pandas data transformation pipelines to process logs and identify attendance anomalies.
Python Pandas pyzk Networking (TCP/UDP)
Professional Experience
Systems & DevOps Engineer Jan 2025 – Present
Khademan Emam Zaman • Mashhad, Iran
- Administered a multi-node VMware ESXi environment hosting ~10 production VMs for a nationally distributed platform serving 100,000+ registered users.
- Containerized 15+ production services using Docker, reducing deployment cycle times by ~20% and eliminating configuration drift.
- Automated backup orchestration via Bash scripting and TrueNAS ZFS snapshots, recovering ~3–4 engineering hours/week.
- Maintained 100% uptime over 6+ months for a FreePBX VoIP communications infrastructure.
DevOps Engineer Apr 2024 – Jan 2025
Part Software Group • Mashhad, Iran
- Managed infrastructure operations for 200+ virtual machines across dev, staging, QA, and production environments.
- Standardized multi-environment Docker workflows, reducing deployment discrepancy across tiers.
- Automated Linux fleet maintenance, security patching, and coordinated weekly application releases with engineering teams.
Open-Source & Technical Projects
LVM Disk Extender & DevOps Utilities GitHub →
Automated Bash tool for dynamically detecting, extending, and resizing Logical Volume Management (LVM) partitions in production Linux systems.
Bash Linux LVM SysAdmin
Audio Signal Processing & Feature Extraction GitHub →
Signal analysis pipelines for acoustic feature extraction, spectrogram calculation, and ML preprocessing.
Python Signal Processing
Certifications
- Crash Course on Python • Google / Coursera (Completed)
- Using Python to Interact with the OS • Google / Coursera
- Kubernetes Administration (CKA Path) • Self-study
Languages
- Persian (Farsi): Native
- English: Professional working proficiency (IELTS in prep)