Razieh Shahsavar

o Supported students in working with medical image processing, applying Python-based computer vision techniques using TensorFlow, PyTorch, and OpenCV.
o Helped integrate machine learning models for analyzing medical images, offering practical examples of AI-driven image classification and segmentation.
o Led tutorials and hands-on coding sessions for both game development and medical image processing, bridging the gap between AI applications and interactive 3D environments
o Assisted students in game design and development using Unity and C#, helping them create interactive 3D environments and gameplay mechanics.
o Provided guidance on game physics, UI/UX design, and scripting in Unity to enhance gameplay experience.

• Skills: Python, Computer Vision, Deep learning, Machine Learning, FSL, Jupyter Notebooks, PyCharm, VSCode, Flask, Unity and C#

o Designed and implemented custom camera systems in Unreal Engine 5.1 using Blueprints, C++, and Python, enabling various camera perspectives such as fisheye, multi-angle views, and dynamic tracking cameras.
o Developed realistic precipitation and smoke effects using FX-variety-pack and Material Editor.
o Developed camera control functionalities to follow animations in real-time, ensuring smooth transitions and adaptive framing for cinematic and interactive applications.
o Built and optimized a real-time video streaming pipeline, transmitting multi-view camera feeds via RTSP and SRT protocols for low-latency streaming.
o Created and deployed an RTSP & SRT streaming server using Docker, ensuring scalable and efficient video transmission for real-time applications.
o Integrated camera feeds with Unreal Engine animations, allowing seamless tracking and rendering of dynamic 3D scenes.
o Collaborated in an Agile development environment, troubleshooting streaming performance issues and optimizing workflows for stability and efficiency.

•Skills: Python, c++,  Unreal Engine 5.1, Agile, Jira, Scrum, Linux, Git, Docker (containerization) .

•o Developed a research project (AI models) for 3D human skeleton prediction titled "Quantifying the Accuracy of Deep Learning Algorithms for 3D Human Skeleton Prediction," leveraging Detectron 2 and Blazepose models with Python…
o Generated a synthetic dataset with over 5,000 unique poses using Python, C#, and Unity, enabling the training and evaluation of computer vision models.
o Improved the precision and efficiency of algorithms by designing training pipelines based on modern ML frameworks.
o Explored Transformer models for temporal sequence modeling and motion prediction in human pose
estimation.
o Integrated pose estimation techniques into real-time applications for enhanced 3D character movement.
o Designed a custom loss function for precise evaluation of predicted skeletal structures

• Skills: Deep Learning, Python Programming, Research & Development, Unity Game Engine,Unreal Engine 5.1,  3D Modeling & Simulation, Cinematography Techniques, Digital Animation, Mathematical Modeling, Model Evaluation, Optimization, Loss Function Design, Dataset Generation, Detectron 2, Blazepose Models, Analytical Skills, Scikit‑Learn, Tensorflow, Pandas, Keras, PyTorch, NumPy, Matplotlib,  NLTK, SciPy, Seaborn, Plotly Express, Deep Neural Networks(DNN), Convolutional Neural Networks(CNN), Natural Language Processing(NLP)

Tasked to review, replicate, improve, and develop an automation system using Power Automate to correspond to the need of the Office of Research & Graduate Studies.

• Collaborated on ML model development using Python.
• Prepared and cleaned large datasets for analysis.
• Improved the web platform with a recommendation system, boosting user engagement.
• Communicated insights from data analysis, driving actionable decisions.
• Applied statistical analysis techniques, including regression and hypothesis testing.
• Worked with TensorFlow, Keras, and Scikit-learn for model development.
• Skills: Python, Excel,SQL, Matplotlib, Seaborn, NumPy, MachinLearning, Mathematical, Statistical, TensorFlow, Keras, Scikit-learn

o Developed and implemented machine learning (ML) models to analyze employee performance and salary trends, improving decision-making accuracy by 15% using Python, machine learning, Excel, and SQL.
o Applied K-Means Clustering and predictive ML models to classify employees, detect salary discrepancies, and optimize workforce planning.
o Built interactive Power BI dashboards and generated reports, utilizing Matplotlib and Seaborn in Python for data visualization, integrating ML-driven insights for real-time salary validation, employee trend visualization, and data-driven decision-making.

• Skills: Python, Excel, SQL,PowerBI, Matplotlib, Seaborn, NumPy, MachinLearning, Mathematical, Statistical,  AWS, Java.

• Built and maintained web applications using Python, C#, .NET, and ASP.NET , JS.
• Optimized database queries with SQL, boosting performance by 20%.
• Developed a recommendation system, improving user engagement.
• Collaborated with the team to meet project deadlines.
• Skills: Python, C#, .NET, ASP.NET, SQL, Debugging, Database Optimization

Taught 3D asset creation , optimization and game development by Maya and Unity , photoshop to students
in the computer science and engineering domain, focusing on 3D modeling, animation.
o Developed Python-based tools to assist students in game development workflows and data-driven decision
making in their projects.
o Mentored students on animation techniques and integrating Python into game engines like Unreal and
Unity.