Shahab Bahreini Jangjoo

Machine Learning Engineer | R&D Researcher | AI Specialist

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Professional Summary

Machine Learning Engineer and R&D Researcher specializing in computational physics, data science, and artificial intelligence. Currently pursuing M.Sc. in Computer Science with focus on Applied Computing at the University of Saskatchewan. Expert in combining advanced numerical methods with practical AI applications, from plasma physics simulations to industrial IoT solutions.

Key Achievements:

• Improved object detection by 100% in low-light conditions using YOLO models
• Developed AI temperature predictor with <2.0°C accuracy deviation
• Managed 600K+ data points per IoT device using advanced ML methodologies
• Published 5 peer-reviewed papers with 48 citations on Google Scholar

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Professional Experience

Computer Vision Engineer | RAYHAWK

March 2024 - July 2024 | Autonomous Railcar Loading Systems

• Achieved 100% improvement in object detection performance by implementing YOLO v8-11 and YOLO NAS
• Developed 8-layer image preprocessing filter system with homomorphic filtering
• 40% accuracy improvement in challenging environmental conditions
• 30% accuracy boost for objects prone to false positives through enhanced annotation methodology

Machine Learning Engineer | ENA Solutions Inc.

November 2023 - February 2024 | Smart Thermostat AI Systems

• Developed AI temperature predictor for smart thermostats with <2.0°C accuracy
• Engineered robust data management system handling 600K+ data points per IoT device
• Created OCR-based automated energy bill parser for PDF and image data extraction
• Managed RESTful API data flow supporting 200+ IoT devices
• Enhanced code quality and maintainability by 50% through Functional Programming and OOP

R&D Scientific Consultant | NirouTrans Company

January 2016 - August 2019 | High-Voltage Equipment Analysis

• Developed C++ simulation software for 400kV bushing analysis
• Integrated finite element analysis algorithms for electromagnetic field calculations
• Created Python interfaces for ANSYS Maxwell automation
• Led establishment of internal RIS electrical bushing production line up to 15kV
• Managed team of 8 electrical engineers

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Education

M.Sc. Computer Science | University of Saskatchewan

2022 - 2025 | Applied Computing | Saskatchewan, Canada

• Specialized in plasma physics simulations using Julia and C++
• Advanced parallel computing on CPU and GPU architectures

M.Sc. in Physics | University At Albany

2019 - 2021 | Awarded during Ph.D. study | New York, United States of America

• Master's out of Ph.D. program
• Digital Holographic Microscopy (DHM) optical aberrations detection
• 3x faster image processing through Cythonization and Multiprocessing

M.Sc. in Physics | Shiraz University

2013 - 2016 | Condensed Matter (Complex Systems) | Shiraz, Iran

• dHAN model simulation for brain function in 300-500 neuron networks
• Runge-Kutta 4th order method for complex systems analysis

B.Sc. in Physics | Shiraz University

2009 - 2013 | Solid-States | Shiraz, Iran

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Technical Skills

Core Technologies

Category	Technologies
Programming Languages
Machine Learning & AI
Cloud & DevOps
Databases

Specialized Expertise

Machine Learning & Deep Learning Deep Learning: CNN, RNN, LSTM, FNN Classical ML: Random Forest, SVM, KNN, Gradient Boosting Computer Vision: YOLO (v8-v11), YOLO NAS, Object Detection Time Series: Skforecast, ARIMA, Prophet Optimization: LightGBM, XGBoost, Hyperparameter Tuning	Python Ecosystem Data Science: Pandas, NumPy, Matplotlib, Plotly, Seaborn ML Libraries: Scikit-learn, TensorFlow, PyTorch, Keras Computer Vision: OpenCV, PIL, ImageIO Web & APIs: Flask, FastAPI, Requests, Beautiful Soup Performance: Cython, Multiprocessing, Numba
Development & Tools Version Control: Git, GitHub, BitBucket, SVN Containers: Docker, Kubernetes IDEs: Jupyter, Google Colab, VS Code Testing: Postman, pytest, unittest GUI Development: PyQt5, Tkinter	Scientific Computing Numerical Methods: Finite Element Analysis, ODE Solvers Physics Simulation: Plasma Physics, Electromagnetic Fields Parallel Computing: OpenMP, CUDA, GPU Programming Mathematical Modeling: Complex Systems, Statistical Physics Signal Processing: Image Processing, Spectroscopy

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Honors & Awards

Year	Award	Institution
2022	Full Scholarship - M.Sc. Applied Computing	University of Saskatchewan
2019	Full Scholarship - Ph.D. Physics	University at Albany
2016	Financial Support Thesis Winner	Cognitive Science and Technologies Council (COGC)

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Publications & Research

Peer-Reviewed Publications (5 papers, 48 citations)

1. "Comparison of Simultaneously Captured Transport of Intensity and Digital Holographic Microscopy Retrieved Phases" (2022)

   • Digital Holography and Three-Dimensional Imaging
   • Advanced phase imaging techniques comparison

2. "Automated quantification of vomeronasal glomeruli number, size, and color composition" (2021)

   • Chemical Senses - Automated image analysis for neuroscience research

3. "Iron-binding cellular profile of transferrin using label-free Raman hyperspectral imaging" (2021)

   • Free Radical Biology and Medicine - Advanced spectroscopic analysis

4. "The study of cell death mechanisms via simultaneous Raman and transport of intensity phase-imaging" (2022)

   • Biomedical Spectroscopy, Microscopy, and Imaging II

5. "Comparative phase imaging of live cells by digital holographic microscopy" (2020)

   • OSA Publishing - Live cell imaging methodologies

Conference Presentations

Year	Title	Venue
2023	"Low-Error Numerical Approach for Generalized Magnetic Nozzle Physics"	University of Saskatchewan
2020	"Application of image processing to glomeruli analysis"	PASCAL Conference
2017	"Critical neural networks"	GEFENOL Summer School, Spain
2016	"Scale-free neuronal avalanches in dHAN model"	Annual Physics Conference, Iran
2014	"Complex Systems and Brain Applications"	Heidelberg University, Germany

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Featured Projects

YOLOmatic Multi-Generation YOLO Implementation Tech Stack: Python, YOLO v8-v11, Computer Vision Impact: Streamlined object detection across multiple YOLO generations Features: Unified interface for YOLO models, automated preprocessing	Live Cell Tracking with YOLOv8 Real-time Biological Research Solution Tech Stack: Python, YOLOv8, OpenCV Achievement: Real-time tracking solution for CTMC-v1 challenge Innovation: Advanced computer vision for biological research
Glomeruli Quantification System Automated Neuroscience Analysis Tech Stack: Python, Image Processing, Machine Learning Purpose: Automated brain image analysis for neuroscience research Result: Efficient distinction between mutant and control specimens	Electromagnetic Field Simulation High-Voltage Equipment Analysis Tech Stack: C++, ANSYS Maxwell, Python Application: High-voltage equipment analysis up to 400kV Impact: Optimized electrical insulation designs

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Certifications

Year	Certification	Provider
2023	Introduction to Containers w/ Docker, Kubernetes & OpenShift	IBM via Coursera
2023	Foundations of Cybersecurity	Google via Coursera

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Key Strengths

Research Excellence 5 peer-reviewed publications 48 citations on Google Scholar International conference presentations

Technical Innovation Advanced ML/DL model development 100% performance improvements Large-scale data processing (600K+ points)

Leadership & Collaboration Team management (8 engineers) Cross-functional collaboration International research experience

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Let's Connect!

Open to collaborations in Machine Learning, Computer Vision, and Research Opportunities!

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