- Engage with clients to better understand their needs and shift product priorities accordingly.- Develop new features and improve existing features by writing product specs, drafting tickets, and writing code.

- Employee number 5, owning and driving core technical projects and product features from ideation to implementation.- Drove the development of an algorithm for detecting logical equivalence between code file diffs, saving users time by allowing them to focus on more significant code changes.- Independently built a feature allowing users to add audio and screen capture recordings to pull request comments, along with audio transcription and GPT3.5-enabled transcription summarization.- Developed and launched a feature allowing users to see what their colleagues are doing on pull requests in real-time, giving them more context into the status of a given code review.

- Worked as a full-stack software engineer in an Agile environment, using Python and TypeScript to build and maintain Orchard’s internal platform used by over one thousand operational employees.- Led the integration of a 3rd party task management software with Orchard’s internal platform, streamlining our 100-person Listing Team’s workflow by consolidating a source of truth for existing and new pieces of data.- Actively interviewed software engineering candidates, conducted algorithm/data structures interviews and provided rubric-based feedback to hiring managers which directly impacted hiring decisions.

- Worked on cloud computing and distributed systems problems on the BL@Scale team to help build a cloud-based platform that lets users scale and execute SETI algorithms which often process petabytes of data.

- Built and tested a service that identifies job failures and drops in API availability across multiple regions for the AWS Backup team.

- Implemented intraday trading algorithms using EasyLanguage and TradeStation that achieved up to 80% profitability.

- Built and tested a data auditing tool from scratch for an AWS Elastic Load Balancer team. - The tool runs regularly on AWS Lambda to validate data in AWS DynamoDB tables, facilitate data removal workflows for corrupt data, and generate reports and metrics on Amazon CloudWatch.

- Facilitated lab sections by assisting students one-on-one, leading discussions in small groups, and delivering lessons to small groups.