Backend Engineering, Data Engineering, Systems Design

Amlan Audri

Email: ***.******@*****.*** Phone: +1-548-***-**** Location: Toronto, Ontario, Canada

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Profile Summary

Fascinated by the visions, ingenuity, and engineering behind modern computing and information infrastructure, I have built core expertise in software systems and technologies. A Master’s in Systems Design Engineering complements this foundation with emphasis on development processes and design effectiveness. Beyond the core expertise, my background spans across mechatronics, data analytics, and biomedical domains, enabling a holistic, interdisciplinary approach to designing innovative, efficient, and sustainable solutions. Adept at continuous learning and rapid adaptation, I thrive in mastering emerging technologies and contributing effectively in dynamic environments. Technical Skills

Programming Languages: Python (Django, Flask) (Advanced), C# (Advanced), Java (Advanced), C++ (Intermediate), C (Intermediate)

Software Tools & Platforms: Git, GitLab, GitHub, Docker, AWS Data Pipeline & ETL Services, Google Cloud Platform Database Systems: MongoDB (Advanced), PostgreSQL (Advanced) Data Management & Analysis Tools: SPSS, Microsoft Excel Engineering & Design Tools: MATLAB (Advanced), MSC ADAMS (Advanced), SolidWorks (Intermediate) Operating Systems: Ubuntu Server, Ubuntu, Raspberry Pi OS, Windows Hardware & Embedded Systems: USB communication, Raspberry Pi, Arduino, PIC Microcontrollers, I2C Protocol, MPU6050 (IMU), Movesense ECG sensor, Garmin LiDAR Lite V3 Education

Master of Engineering in Systems Design Engineering

(September 2023 – December 2024) CGPA: 87.12/100

University of Waterloo, Waterloo, Ontario, Canada

Bachelor of Science in Biomedical Engineering (February 2017 – April 2021) CGPA: 3.88/4.00 Military Institute of Science and Technology (MIST), Dhaka, Bangladesh Professional Experience

Research Assistant (September 2022 – August 2023)

Machine Learning Group, Electrical Engineering Department, Qatar University, Doha, Qatar

• Built a real-time ECG signal analysis backend using Python (Flask) and MongoDB, supporting continuous data flow, live visualization, and storage. The system successfully hosted over 150 sessions by the end of the initial testing phase of a Holter monitoring research project.

• Designed and implemented secure user access control with multiple distinct roles (e.g., Doctors, Patients, System Admins), improving data privacy, control, and usability for clinical research.

• Co-developed standardized JSON data packet structures with frontend developers, reducing API miscommunications by over 90% during integration and testing.

• Created a scalable database schema optimized for storing over 500 GB of ECG data with annotations like arrhythmias and heartbeat irregularities.

• Integrated voice recording functionality into the system, enabling the linking of patient audio clips with corresponding ECG events to enhance clinical insights.

• Deployed the full backend on Google Cloud Platform(GCP), ensuring secure HTTPS access, smooth database-service integration, and reliable uptime with no reported issues.

• Wrote automated testing scripts and over 30 unit and integration test cases, significantly reducing post-deployment bugs and enabling fast, reliable updates. Conducted stress and concurrent session testing to evaluate system limits and maintain performance stability.

• Upgraded server infrastructure to support parallel deployments of multiple backend instances, enabling data collection for 3+ simultaneous research projects.

Research Engineer (November 2021 – August 2023)

Department of Biomedical Physics and Technology, University of Dhaka, Dhaka, Bangladesh

• Designed and implemented real-time signal processing and decision-making algorithms in C#, automating 12-lead ECG data acquisition and reducing manual intervention time by over 70%.

• Enhanced and automated USB-based communication with an NCV (Nerve Conduction Velocity) testing device, improving data transfer reliability and reducing test execution time by approximately 50%.

• Developed automated report generation features for NCV results, reducing clinician workload and speeding up report generation by three times.

• Updated Java-based software used in dynamic foot pressure measurement, making it compatible with new hardware. Applied computer vision techniques and parameter tuning to ensure scientific accuracy. The update reduced the physical height of the machine model by 65%, improving usability and user comfort.

• Built custom debugging tools that identified communication errors in early-stage device prototypes that relied on USB communication, cutting troubleshooting time by over 50%.

• Created a reusable, modular C# class to streamline USB communication across multiple biomedical devices, accelerating future development cycles.

• Collaborated with a multidisciplinary team of 6+ engineers and medical professionals to define system scope and align requirements, ensuring successful end-to-end integration of software with custom biomedical hardware.

• Designed intuitive user interfaces and wrote comprehensive test scripts, performing integrated system testing across all modules to ensure clinical reliability and regulatory compliance.

• Maintained and updated over 30 engineering requirements and system specifications for a national-scale ECG telemedicine platform supporting rural health diagnostics. Online Courses & Certifications

• Data Engineering – Deeplearning.Ai (Coursera): Completed 2 of 4 courses; gained hands-on experience with AWS- based data pipelines; currently progressing through courses 3 & 4.

• Algorithms, Part 1 – Princeton University (Coursera): Learned and completed evaluations on Union-Find, Analysis of Algorithms, Stacks and Queues, Priority Queues, Sorting Algorithms, Balanced Search Trees, Hash tables.

• Software Development Processes and Methodologies – University of Minnesota (Coursera)

• Lean Six Sigma Yellow Belt – Six Sigma Academy Amsterdam (Udemy) Projects

– Please visit my Portfolio (Projects Page) to view selected projects with visuals and descriptions. Leadership & Extracurricular Activities

• President – Einthoven Club, Military Institute of Science and Technology (February 2020 – April 2021)

• Participated in Project Showcasing, Biomedical Engineering Fest (Hosted by Department of Biomedical Engineering, Military Institute of Science and Technology) 2018 (Took second place).

• Participated in Poster Presentation, Biomedical Engineering Fest 2018.

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