Henry Cowan

Software engineer with 3 years of industrial experience. Python and embedded developer. Graduate from the University of Glasgow with a master's degree in biomedical engineering (first-class honours). Independently developed IoT and embedded system prototypes as well as large data analytics flows for client-facing applications. Experienced with cloud applications, databases, Spark and API writing/leveraging. Proficient with CI/CD tools and navigating multi-tiered code repositories. Highly self-motivated and responsible engineer who has integrity in their work. Looking to use software expertise to develop practical applications and enhance Industry 4.0.

• Core Programming: Python, C++/C, Dart, Bash.
• UI/Web: Django, HTML, Flutter.
• Cloud Platforms: AWS, Google, Digital Ocean.
• Big Data: Spark, Hadoop, AWS EMR.
• CI/CD: Terraform, Docker, Jenkins, Travis.
• Databases: SQLLite, S3, PostgreSQL.
• Repository Management: Git, Bitbucket, Sourcetree.
• Operating Systems: Windows, Linux.
• Microcontrollers: Arduinos, ESP32s, nRF840s, RPis.
• Networking Protocols: HTTP/HTTPS, TCP, UDP, MQTT.
• Communication Protocols: Protobuf, BLE, I2C, SPI.
• Component Experience: ADCs, DACs, RAM, FPGAs.

News-Digest Python Analytics Project - JP Morgan Chase and Co.,  Oct 2022 - Dec 2022  

• Led a project to create and autonomously distribute digests of relevant news to the respective credit officers.
• Python scripts executed using PySpark running on EMR clusters, performing large SQL queries from several data sources, data processing, restAPI calling and data storage with event-driven notifications to downstream consumers.
• Employed a series of different AWS services for data storage and compute.
• Learned useful skills in large-data management, bash scripting, storage and query optimisation for AI/ML applications.

Hadoop EMR Migration - JP Morgan Chase and Co., Jan 2023 - Mar 2023  

• Led the team’s migration from on-premises Hadoop infrastructure to external public-cloud AWS EMR infrastructure.
• Leveraged AWS APIs and internal restAPIs to control and monitor EMR clusters and submit Spark jobs to the clusters.
• Created a Terraform recipe to provision AWS resources programmatically for our application.
• Integrated the bespoke API service into our internal orchestration application written in Java (Spring Boot).
• The service was critical to execute all production-level Python flows for our team of 12 developers.

Realtime IoT Full-Stack - Novosound, Jan 2021 - Apr 2021  

• End-to-end development of IoT system for autonomous, real-time monitoring of client assets.
• Implementation of embedded communications from in-house PCB's to consumer Edge devices (SPI protocol).
• Multi-threaded MQTT reception servers connected to 5-10 clients in parallel.
• Data computation, digital filtering and storage on virtual Linux machines and databases hosted in the cloud (DigitalOcean).
• Image and data processing of real-time data to bespoke client-facing dashboards.
• Relational database schema creation and data routing for future AI/ML optimisation.

Rapid XYZ Ultrasonic Dental Scanner - Novosound, Apr 2021 - Apr 2022  

• Developed a control system and data pathway for a dental scanner using high-speed TCP/IP comms with an accompanying graphics viewer to view reconstructed 3D acoustic models of the mouth:
• Server implemented in Python, client implemented in C, 500Mbps transfer rates.
• Interfaces with multiple hardware items, with complex real-time hardware interrupts (encoders, actuators, ultrasound probes, scopes, pulsars).
• 3D files of scanned object and displayed in a bespoke OpenGL graphical viewer with accompanying image-processing techniques for image-enhancement.

Personal Project - Django Climbing Log - Continuous

• Created a website using Django framework for logging all of my climbing achievements.
• Website hosted on AWS EC2 with appropriate firewalls and routing.

Personal Project - Games - Continuous

• Developed video games using SFML/OpenGl on C/C++.
• Games employ 3D physics algorithms and terrain generation.