Owned the end-to-end delivery of the company’s compliance monitoring app, acting as both lead engineer and de facto product manager from concept through production launch.
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Designed and implemented the full technical foundation for the new frontend application (React/TypeScript, Material UI, React Testing Library) and extended the core Python (Django Rest Framework) APIs.
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Established team-wide engineering practices including integration testing, code review standards, and the use of feature flags.
Designed and built an AI-powered search service using OpenAI, LangChain, and OpenSearch that reduced time to see candidates from 7-10 days of emails and meetings with the sales team to a five-minute, self-serve experience.
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Improved our internal Freelancer Search functionality by creating an ETL process that populated an OpenSearch database. This unlocked the ability to do complicated searches across semi-structured data from sources like the freelancer’s work history.
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Reduced GitHub Actions CI pipeline time from 20 minutes to 4 minutes.
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Partnered with the new VP of Engineering and key new hires to reshape product and engineering into a collaborative and agile cross-functional team that balanced rapid delivery of impactful features with maintaining quality and reliability.
Built a full stack application from 0 to 1 using cloud-native, HIPAA-compliant architecture provisioned via infrastructure as code.
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Conducted customer discovery activities with internal and external stakeholders to map the user journey and identify opportunities where I could build software to solve the biggest pain points.
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Defined and implemented product and engineering strategy to achieve the company’s goals. Acted as de facto CTO and CPO as the first and only full-time product and engineering hire.
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Led informational sessions on product and engineering topics to help the rest of the company learn more about iterative, early-stage software development.
Built the API, demo app, and infrastructure for 3 experimental ML applications.
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Shortened time from experiment to production deployment from 6–12 months to 1–2 months.
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Migrated a mission-critical ML-powered chatbot application to AWS with zero downtime and reduced infrastructure costs by over 50% while increasing application performance.
Co-developed a process to ensure deployments did not impact customers ability to process payments.
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Collaborated with the team to enhance our engineering practices through rigorous code reviews, integration testing on all new code, standardized bug fixing practices, and centralizing documentation.
