# Liban Miller > Senior Backend Software Engineer Location: San Francisco Bay Area, United States Profile: https://flows.cv/liban An Experienced Software Engineer, with a B.Sc in Computer Engineering, that focuses mainly on deep learning model deployment, diverse backend solutions, and architecture optimization. My main goals have always been to gain as much knowledge possible, leverage technology, and continuously develop my leadership skills to make the world a better place by seeking solutions. I began my engineering career by starting as a co-op intern building and customizing radios for a small award-winning, telecommunication broadcasting company. After graduating, I was fortunate enough to join the Edison Engineering Development Program, the focus on mentorship gave me a strong foundation and breadth of knowledge within various medical device fields over the course of four 6-month rotations. From helping to develop faster, life saving technology for healthcare professionals in Edison AI to designing and optimizing various power network infrastructure pipelines to improve human resiliency against climate change in One Concern; I hope to continue to apply cutting edge expertise to bring positive solutions to our stakeholders. ## Work Experience ### Senior Software Engineer @ Pilot.com Jan 2024 – Present | San Francisco, California, United States ### Senior Backend Software Engineer @ Populus Jan 2023 – Jan 2024 | San Francisco Bay Area ### Senior Backend Software Engineer @ One Concern Jan 2021 – Jan 2022 One Concern goal is to build the most accurate, insightful ‘Digital Twin’ of the world’s infrastructure, revealing hidden risks posed by natural disasters, extreme weather, and climate change. These insights would then be used by customers to make better financial decisions in regards to their investments. - Designed, built, and deployed various ETL pipelines of our flagship feature focused on the effects of natural hazards on power network infrastructure for production, specifically for the US and Japan. - Power network architecture was designed in collaboration between data scientists, product, and other SCRUM teams to create the power network infrastructure (this also required our sub team to coordinate between two of the larger engineering teams). - Designed and optimized multiple ‘v2’ power network pipelines that focused on faster, cheaper workflow processes to produce analysis requested by our clients. This resulted with at least a 30% reduction in production costs for running the pipelines. To achieve this, our design included a more modular design, leveraging SnowSQL while reducing transaction costs, and writing scripts that required less memory to achieve the same results. - Leveraged 'Datadog' as a way to optimize and sanity check our new, cost-effective workflow process. By using these workflow metrics, I zeroed in on reducing overall memory usage, maximizing our allotted cpu/memory usage, and reducing container running times by use of multithreading/multiprocessing. - Developed and maintained certain architecture of database schemas, both PostgresSql and SnowSql, to be used for cross team consumption. - Helped newer team members onboard, review their data output for debugging, and created instructional documentation for running our pipelines. Languages: Python (Main), SQL, Bash Technology: Kubernetes, Argo, Helm, PostgreSql, SnowSql, Docker, Datadog, Make, Unittest/Pytest, Github ### Software Engineer @ GE Healthcare Jan 2019 – Jan 2020 | San Francisco Bay Area Edison AI is a product built by our team to aid data scientists within and out of GE Healthcare in developing, training, testing, and deploying their deep learning models. My responsibilities and accomplishments: - Primarily develop for backend cloud platform using AWS Lamda, S3, and API gateway, while also optimizing past modules for a cleaner, faster workflow. - Collaborated with multiple SCRUM teams to transfer capabilities of the cloud platform to an on-prem environment. - Completely re-designed the cloud workflow for on-prem capabilities. This includes re-designing and implementing the architecture of our sub-team’s portion of the product. - Delivered extra features before deadline that was given so that the it could be showcased to customers. The main deliverable leveraged using orchestration tools to allow for parallel multi-GPU model training and testing. - Built various modules for customers for use in our orchestration tool, along with bash scripts, which allowed for more of an easier ‘hands-off’ approach for customers. Languages used: Python (Main), Java, Perl Technology used: Kubernetes, Helm, Airflow, Docker, MinIO, AWS (SageMaker, S3, ECS, Lambda), Unittest/Pytest, Github Non-technical Accomplishments: - Planned and taught a two week beginner AI course for incoming EEDP students. - Documented, tested, and led brown-bags to educate other team members the aforementioned components that were added to the platform. - Worked with international teams to leverage our technology requiring strict scheduling and precise communication to attain our goals. ### Edison Engineering Development Program @ GE Healthcare Jan 2017 – Jan 2019 | Greater Milwaukee Area The Edison Engineering Development Program consists of a small group of entry level engineers across multiple disciplines who go through a rigorous 4 6-month rotations through different modalities within GE Healthcare. To graduate one must complete a semester long project, professional seminars, and 2 years of post-graduate courses focused on the inner mechanics and theories surrounding healthcare technology. 1st Rotation (MKE): PET/CT (Jul 17 - Dec 17) - Enhanced existing application used on PET/CT Scanner gathered from input from our customers (mainly research labs) - Designed revamped application with customers, created/logged validation procedure for FDA approval, regular debriefings to PET/CT team Tech: Eclipse, Putty, Java, Bash scripts, Redhat using VirtualBox, Perl 2nd Rotation (MKE): X-Ray Tubes (Jan 18 - Jul 18) - Created a tool using JSON as the protocol to bridge an existing application (Python) to automate testing for an existing X-Ray tube device monitor (Java) - Drastically reduced hours of human intervention for testing and allowed for cleaner, more reliable data. Currently used on manufacturing floor Tech: VS Code, Eclipse, Java, Python, bash, Labview 3rd Rotation (Bay Area): Edison AI Device (Jul 18 - Dec 18) - Collaborated on a SCRUM team to develop an application placed on medical devices to make analytical predictions using AI models - Created security protections for input API, protections of env variables, unit tests for various modules, and detailed documentation Tech: VS Code, Python, Pytest, Unittest, Postman, Github 4th Rotation (Bay Area): Edison AI Cloud (Jan 19 - Jul 19) - Integrated deep learning models in our platform for use within different modalities, using docker images for deployment. Cross functional development with program/product managers and data scientists - Implemented different forms of storage (S3/MinIO) to interact with docker for scalability and envs Tech: VS Code, Python, Docker, Pytest, VirualEnv, Postman, Github ### X-Ray EID Intern @ GE Healthcare Jan 2016 – Jan 2016 | Milw Main Project -- Scripting/Parsing: - Assorted visual feedback through graphs and charts for quick debugging using Python - Designed Master Perl Script that conducts automated performance testing that will verify designs of wireless roaming in accordance to FDA standards. Improved workflow by allowing overnight automated “cycles” to be activated from outside the lab area. - Produced sub-system Perl files to parse through logs and collect data; would take 2-3 weeks to manually parse, reduced the time to a few seconds and can be conducted outside of the workplace. Other Responsibilities: - In Training Committee for GE Healthcare EID Program; organized and directed multiple meetings focusing on education and preparation of joining Edison Leadership Program and GE through “Lunch and Learns” - Verify and Validate Mobile X-Ray Wireless System in accordance to FDA Standards ### Simulations EID Intern @ GE Transportation Jan 2016 – Jan 2016 | Erie, Pennsylvania Area - Created I/O Mapping of config files using Perl Scripts, parse through inputs to create virtual simulations - Designed scripts to retrieve and decrypt config files from the Control System for parsing - Adapted new logic procedure to run dynamically at run time when simulator model set is launched - Consolidated the I/O Mapping used in new product that will help bypass software team and save weeks worth of waiting time and backlog. ### Co-Op Intern @ 3G Wireless, LLC Jan 2014 – Jan 2015 | Glen Burnie, Maryland Main Project -- Interruptible Foldback/Two-Way Audio Radio Board: - Designed 2 layered PCB using Altium for comm use between field and stadium crews - Performed with less power consumption than previous version and reduced from 3U to a 2U box. - Saved $5000 for 12 units compared to previous version by reducing redundant components - Programmed Atmel 644PA in C to relay sensor information using Atmel Studio and JTAG ICE. Other Responsibilities -- - Constructed schematic and built a 3D model of an Audio Interface and MUX Box through the use of Altium Designer - Troubleshoot various electronic devices such as power supplies, corrupted PCB’s, Wiring - Operated Drilling Machine/Sander to refine project cases for various shows in different environments ### Legislative Intern @ Maryland General Assembly Jan 2010 – Jan 2010 | Annapolis, Maryland - Lead Assistant to complete History and Legacy of Slavery In Maryland - Managed all appointments with hundreds of constituents and assisted the Legislative Aide - Assisted with computer and technical problems - Organized and handled the entire Delegate Scholarship Application files for Delegate Emmett C. Burns ## Education ### Bachelor of Science - BS in Computer Engineering University of Maryand, Baltimore County ## Contact & Social - LinkedIn: https://linkedin.com/in/liban-miller --- Source: https://flows.cv/liban JSON Resume: https://flows.cv/liban/resume.json Last updated: 2026-04-05