Base is a membership club oriented entirely around in-person, highly curated, and algorithmically matched dinners and experiences, with personal authenticity is the foundation.

* Tech stack: React Native, Typescript, TailwindCSS, Supabase (Postgres), PostgREST, Expo + Expo Application Services (EAS), Sentry, CustomerIO, Deno javascript hosted functions, Firebase Messaging.

* Owned development of mobile app, members' primary method if interacting with Base, and only method of booking dinners and experiences.

* Built and launched foundational features such as "Perks", "Connect", and "Awards", that added social networking, gamification, and premium partnerships to the platform.

* Used marketing tools to measure feature performance and member engagement.

* Directly diagnosed and fixed members' issues with app interactions such as login of booking.

* Responsible 24/7 for critical issues, including

* Cross-functionally worked with Member Success, Experiences.

* Worked directly with Founders and early employees brainstorm business and product, and with CTO to conceive and prioritize new features.

* Performed technical interviews for engineering candidates.

G2i / Upwork

* Fullstack engineer on G2i platform serving global clients in web and product development.

* Trained and validated specialized AI models requiring advanced Mathematics training.

* Performed PySpark data analysis.

Experienced with the use AI (LLMs) in the following modalities:

* Python/FastAPI backend integration with OpenAI API to generate text autocomplete.

* ChatGPT Pro in to explore new technologies, brainstorm projects, and generate draft boilerplate code.

* Cursor IDE for simple code snippets, and interactive chat about the codebase.

* Owned backend for entire user registration flow, built on Rails monolith and Postgres. Lead roadmap and SLAs development, consistently provided backend constraints into the product development process.

* Deployed twice-weekly using Spinnaker CI/CD pipeline on GitHub/Jenkins. On-call PagerDuty monthly.

* Lead backend implementation of LaunchDarkly 5-variant A/B test on highest tier subscription price, directly resulting in C-Suite decision to 3x its price, directly increasing primary input to customer LTV.

* Lead project to decrease erroneous KYC results percentage from ~25% to ~5% on a daily signup volume of ~10k users, by working with brokerage back-office and web/mobile engineers to iteratively define, backtest, and implement validation rules on ~20 registration input fields.

* Helped build Rails models and routes for new feature to allow purchase of 100+ stocks/ETFs by potential or current users. Resulted within weeks of launch in ~10MM total search volume, ~2MM+ page views, and ~$150 average per-user securities purchases.

* Tested backend-driven UI content or flow changes in development and staging environments.

* Cross-functional work included: daily collaboration with product management, web/mobile, data science; and frequently with brokerage, compliance, marketing/copy, QA, and adjacent engineering teams.

* Production responsibility included PagerDuty shifts, logs monitoring, NewRelic system performance diagnostics, Slack alerts, and Looker-based anomaly analysis.

* Profiled and stress tested Rails monolith using New Relic as part of CTO-designated team to assess improvement opportunities for Rails monolith. Team concluded the current app was sufficiently resilient.

* Team of five built and launched marketing features for the 2MM+ Sellers on the platform, including “Promoted Offers” allowing sellers to promote specific listings; using PHP7, sharded MySQL, and React/Redux, i18n internationalization.

* Launched features to selected user buckets using server-side feature-flags. Worked with Data Science and Product to define user buckets and experiment duration to avoid interference with other experiments.

* Tested start-to-end seller and buyer flow using carefully customized test accounts and feature-relevant purchase scenarios. Deployed code daily using custom-built “Deployinator” pipeline.

* Built product dashboard using Grafana and internal logs, to track post-launch engagement

and performance metrics.

Digital Agriculture. dedicated to creating technologies that transform field data into meaningful insights that help farmers sustainably enhance yield potential, improve efficiency, and manage their risk.

* Owned and expanded data pipeline built on AWS Kinesis, Python ETL, and Postgres warehouse with 200+ tables.

* Maintained staging and production AWS infrastructure on S3, EC2, Docker, and CloudWatch monitoring/alerting.

* Added ingests from 3rd party APIs including Mandrill, and guarded against schema proliferation.

* Tested ETL speed and resource load improvements by optimizing SQL statements and monitoring impact using CloudWatch, concluding that scaling challenges lay elsewhere.

* Used Spark and Scala to build message bus module and contribute to data science warehouse, as part of team effort to re-architected pipeline in anticipation of increased scale.

* Wrote and distributed analytics specification documents based on Product Managers requirements.

* As team grew from 5 to 12+, helped prioritize scaling challenges based on effort and severity, at Analytics VP’s request, and edited/reviewed Principal engineers’ proposal for data infrastructure upgrades.