Design and implement backend features—for the company’s recruiting as a service product—in a Python Django server, which includes: programming GraphQL APIs, integrating with Stripe, and PostgreSQL schema management and data migrations
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Implement Figma designs using NextJS, Typescript, and React in a server-side rendered frontend with styled components (in-house design system) and the Apollo client for state management
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Architected company’s CRM product offering with 3rd party source integrations, capabilities for person and company data enrichment, standardization, a <200ms full-text Typesense search experience over 5M records, and an email marketing automation system
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Introduced site reliability engineering practices by setting uptime and latency SLOs and alerts for servers running on Kubernetes, resulting in a 25+% speedup and an increase from 95% to 99% uptime
Created a scalable game analytics application in Python and deployed to AWS Elastic Beanstalk (with Amazon RDS) to track and summarize user activity in the company’s virtual escape room product
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Built a Google Data Studio dashboard to give executives high-level insights into player analytics
Pioneered the usage of Google Cloud Platform in the department by documenting how to use R to interface with 9 APIs – including the Natural Language Processing, Cloud Vision, and BigQuery APIs
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Directed a weekly workshop providing theoretical and technical help for 7-15 students from 4 courses
Developed a Google Data Studio connector to enable important clients to create dashboards and explore their aggregated social media campaign data with more flexibility than in-product offerings
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Implemented 3 API endpoints using Django Rest Framework and Pandas, and created an AWS S3 bucket using Terraform, both to power asynchronous workflows behind visualization integration
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Built unit tests for API endpoints and also used Postman for debugging and testing the Tracer API
