Sepehr Radmannia
Summary
As a respectful and self-motivated individual, I excel in finding reliable solutions for software issues. I have extensive experience in C++ and Python, enabling me to contribute as a skilled backend developer and Machine Learning Engineer. I have successfully worked on projects involving TCP/IP Socket programming and have gained valuable experience in the financial industry. Moreover, I am well-acquainted with collaborating in cross-cultural, global teams.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Software Developer
Morgan Stanley
Montreal, QC
06.2021 - 11.2022
- Develop new features using the C++ programming language.
- Conduct thorough testing of newly implemented features using Google Test and GDB.
- Utilize GIT and Jenkins for deploying new features into the production environment.
- Ensure code maintenance and provide support as needed.
- Follow an Agile workflow for efficient project management.
- Engage in proactive customer communication and utilize JIRA for task assignment.
- Proficient in working with Python and Bash scripts in a Linux-based environment.
- Maintain and support existing Python and Bash scripts.
- Develop and implement new scripts to automate daily workflow processes.
- Collaborated with project managers to select ambitious, but realistic coding milestones on pre-release software project development.
- Collaborated on stages of systems development lifecycle from requirement gathering to production releases.
Research Assistant
Concordia University
05.2018 - 05.2021
- Conduct testing and verification of the accuracy of various Machine Learning algorithms on medical images.
- Enhance the visualization of results using the Matplotlib library in Python.
- Utilize frequency-based methods to extract relevant features from the images.
- Performed statistical, qualitative, and quantitative analysis.
- Develop and implement a classification technique using the Numpy, Pandas, and Scikit-learn libraries.
- Verify the persistence of the results by employing statistical tests such as the T-test and F1 score.
Intern (Embedded developer)
Naminic
- Implement and develop User-friendly GUI using C programming language.
- Set up and test USB driver of LPC1788 ARM.
- Work with LPC1788 micro-controller using Keil software.
Education
Master of Applied Science - Electrical Engineering
Concordia University
Bachelor of Science - Electrical Engineering
University of Tehran
Skills
- C, C Python, bash
- Linux Windows
- Git, Jenkins
- Data Structure, Pattern Design, OOP
- NumPy, Pandas, Scikit-learn, TensorFlow
- Networking, TCP/IP
- XML, Jason
- Debugging and Troubleshooting
- AWS practitioner
Additional Information
- Recipient of Concordia Merit Scholarship.
- Achieved third place in the Countrywide Mathematics Olympiad.
Certification
- Licensed "Design Patterns in Modern C++". "Udemy"
- Licensed " Introduction to TCP/IP ". "Coursera"
- Licensed "Implement TCP/IP Stack in C++". "Udemy"
- Licensed " Structuring Machine Learning Projects ". "Coursera"
- Licensed " Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization ". "Coursera"
- Licensed " Neural Networks and Deep Learning ". "Coursera"
Timeline
Software Developer
Morgan Stanley
06.2021 - 11.2022
Research Assistant
Concordia University
05.2018 - 05.2021
Intern (Embedded developer)
Naminic
Master of Applied Science - Electrical Engineering
Concordia University
Bachelor of Science - Electrical Engineering
University of Tehran
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