Greater New York City Area
Culture IQ is a startup that builds solutions to enable HR teams to monitor culture and employee engagement. In addition to development and optimization work, I have authored comprehensive documentation (features, how-to guides, etc.), provide internal tech talks (stats, caching), contribute to PR reviews and pair coding, and serve as an internal evangelist for unit testing.
Project work has included:
• Collaborated with the data science team to integrate statistics with survey reporting, achieved by translating math formulas to Numpy code.
• Debugged and tuned search relevance for comment search by exploring the ElasticSearch Explain API.
• Developed the employee portal in Angular and Python/Django used by clients to upload company directories for sending employee surveys.
• Contributed to performance optimizations including query tuning and database and in-memory caching that reduced slow web requests (5s+) by ~70%. Leveraged Redis caching for popular app features (user permissions, survey reporting), modified core survey results code to only compute data segments being viewed to reduce computation ~70%, and modified calculation of hierarchical survey results to reduce computation by ~10%.