• Built and extended backend services for AWS cost analysis and infrastructure optimization using Python, FastAPI, and Boto3, which reduced the time needed for weekly cloud-spend reviews.

• Designed scalable Python APIs integrating with AWS services and cloud usage datasets on Clickhouse.

• Collaborated with founders and the engineering team using Linear to define the technical roadmap and iterate on product features, accelerating feature delivery by two weeks per sprint.

• Helped balance rapid experimentation with system reliability in a fast-paced, early growth-stage environment.

• First Backend Hire & Early Employee #7: Helped scale backend infrastructure from the ground up, supporting both B2B and B2C products.

• Clerkie Fiber (B2B Platform):

• CRM - part of a GTM team building 0 < 1.

• IMS - part of the enterprise tooling.

• Consumer app: Design, implement, and maintain core infrastructure throughout the entire Clerkie app, creating new features such as payment and creditor dashboards, news feed pages, internal negotiation automation, and subscription programs

• Workflows: Implemented automated workflows

• Backlog: Provide backend expertise to facilitate feature development and improve core platform reliability, performance, and scalability

• Expand the internal ecosystem of metrics and alerts to improve debt negotiator and user experience

• Work with frontend engineers and business team members at Clerkie to provide a comprehensive, intuitive, and reliable user experience

• Implemented full-stack features in the Clerkie app, including menu navigation, info pages, and budgeting flows.

• Developed backend endpoints and integrated custom frontend components.

• Converted to a full-time role based on initiative, code quality, and impact.

• Implement Python scripts to automate graphical analysis to improve graphene-based sensor technology for sensitive monitoring of biochemical markers

• Develop programs to correct voltage current change data from correction factors like blood alcohol content and temperature and perform baseline correction

• Work as a research assistant in the Department of Internal Medicine as a student in the Undergraduate Research Opportunity Program at the University of Michigan

• Develop an empirical assessment in the factors of the changes in spatial proximity of family members

• Compile literature from other studies into Zotero

• Collect and analyze health data of different demographic factors using Excel, STATA and ArcGIS