Morteza Namvar

LinkedIn: mortezanamvar GitHub: mnamvarcfd Email: ad0g0v@r.postjobfree.com Phone: 514-***-**** Location: Montreal, Canada (Willing to relocate)

SUMMARY

- more than 11 years of experience in software development

- Innovative, result-driven, hard-working, and fast learner

- Strong problem-solving skills and a willingness to learn new technologies EXPERIENCE

Research Assistant 2019 - 2023

Montreal Polytechnic Montreal, Canada

– Enhanced computational fluid dynamics code with features and optimizations using C++.

– Applied object-oriented programming and best-practice design patterns.

– Optimized code in terms of memory and performance using profiling tools. Computational Software Developer 2012 - 2018

Center of Scientific Computation Tehran, Iran

– Designed and developed cutting-edge algorithms and software for fluid systems simulations.

– Optimized scientific models for HPC, leveraging GPU acceleration and distributed computing systems.

– Contributed to the development of GPU-accelerated codes.

– Collaborated with multidisciplinary teams to apply computational methods to challenging projects.

– 2D and 3D computational geometry,

– Parallel programming by MPI,

– Computational fluid dynamic software.

TECHNICAL SKILLS

• Programming: Object-oriented programming, Design patterns, UML.

• Languages: C, C++, Javascript, Python, CMake, Bash scripting.

• Frameworks: React, Node.js, Junit, Google test, pytest, Docker.

• Environment: Visual Studio, VS Code, PyCharm, GitHub

• OS: Linux (Ubuntu), Windows.

• High-performance programming (HPC) MPI, multi-threading, CUDA.

• Databases: MySQL.

• AWS Cloud: SAM, Amplify, App sync, Lambda function, API gateway, CDK, Cloudformation, ECS, S3, IAM, CI-CD, DynamoDB, EventBridge, Cognito, SNS.

• Other skills :

- Familiar with the "Digital Research Alliance of Canada" cluster (Compute Canada)

- Knowledge of linear algebra, numerical modeling, Simulation principles

- Computational geometry algorithms and methods

- Numerical methods for solving partial differential equations (PDE)

- Distributed memory systems

PROJECTS

Stock Market Prediction Source Code

– Utilized daily and intra-day stock market data for price prediction.

– Implemented LSTM as a machine learning model and used backtrader framework for backtesting.

– Used Python programming and external libraries such as NumPy and SciPy Canada Beautiful Places Source Code

– Developed a serverless application using AWS Lambda, Cognito, API gateway, DynamoDB, CloudFront, and S3.

– Implemented front-end using React and backend interactions via HTTP requests. Get-Tips Source Code

– Implemented a scalable and event-driven Serverless application using AWS Lambda, SNS, and EventBridge.

– Front-end developed using React and deployed via AWS Amplify. Risk Game Source Code

– Collaborated in a team of five to develop a Java game using waterfall software development methodology.

– Implemented modern OOP design patterns and emphasized code quality. CERTIfiCATIONS

• AWS Certified Cloud Practitioner, AWS, 2022.

• AWS Certified Solution Architecture, AWS, 2022

• Ultimate AWS Certified Developer Associate, Udemy, 2022

• Ultimate AWS Certified SysOps Administrator Associate, Udemy, 2022

• Introduction to advanced research computing, McGill University, 2019 ACHIEVEMENTS, HONORS, AND AWARDS

• Member of Iran National Elite Foundation, 2011.

• Ranked 3rd in 13th Khwarizmi Youth Festival (the nationwide science festival in Iran), 2011.

• Offered a Ph.D. Scholarship from the Department of Mechanical Engineering, Polytechnic University of Montreal, 2019.

• Patent: ‘Hot wire CNC machine to produce aerodynamic shape’, 2007.

• Patent: ‘An algorithm to generate a point cloud for flow solver’, 2012. EDUCATION

Montreal Polytechnic Montreal, Canada

Ph.D., Computational Physics 2019-2023

Tehran Polytechnic Tehran, Iran

Master’s Engineering 2009-2011

Technology college Tehran, Iran

Applied Science 2003-2008

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