Lead technical and product development and improvements as lead engineer on a newly made business payments team.

Prioritized and refined our backlog with the product manager.

Saved 100 hours of manual effort by developing Salesforce integration with the payments processor when ACH transactions failed.

Re-designed automatic internal disbursement of company funds to reduce manual approval of payment orders by a factor of 100.

Worked on an agile team of 6 member to produce self-serve onboarding and renewal features for health insurance benefits, and create internal tooling for the customer success team.

Oversaw onboarding of 3 new engineers, providing contextual and technical support during their first 90 days.

Provided engineering support to invoicing and billing, working cross-functionally with the Finance and Business Operations team.

Troubleshooted data errors and designed root cause fixes as part of a weekly triage rotation.

Improved load time by 200% of a dashboard by consolidating database queries on page render.

Re-architected Sana's Modern Treasury API wrapper to improve modularity and test coverage.

Maintained all processing of experimental calcium imaging data on a 60-node bare-metal Kubernetes cluster.

Installed and managed Ray Cluster on Kubernetes using Helm to distribute pipeline jobs across the cluster.

Refactored pipeline code to distribute jobs on cluster nodes using the Ray API in Python, decreasing runtime by a factor of 12.

Implemented deep-learning based multi-modal cell matching of functional and structural neuronal data.

Developed software in Python to align neural, behavioral, and stimulus data for multiple new experimental paradigms.

Provided technical support and hotfixes to the processing pipeline and in-silico experiments.

Designed relational database schemas and tables in MySQL, keeping in mind potential use-cases and users.

As an intern at Second Measure, I worked on two different teams: Data Products and Client Services.

As part of the Data Products team, I developed one of Second Measure’s first predictive models to predict per-company quarter-end revenue from observed sales. This project has since made it into the platform to augment the client's investment decisions with dependable forecasts for revenue.

As part of the Client Services team, I created a framework and metrics to measure the engagement of a company's customer base based on power user curves. This framework provides potential investors with a way to quantitatively measure how often customers purchase from companies.