* Led initiative to modernize authorization systems, applying RBAC to streamline user permissions management with Python, Django, GraphQL, PostgreSQL, JavaScript, and React, eliminating 10% of work spent managing access control in code.

* Led Care Team Experience squad of 6 (engineers, product managers, designers), managing agile ceremonies, and collaborating with Product team to deliver 20+ projects and resolve over 1000 issues.

* Engineered product’s first Gen AI features with OpenAI API, Python, Django, and GraphQL, allowing Care Team to reduce time spent writing messages by 10 - 15% and improving consistency through agentic assistance.

* Collaborated with product and ops teams to define requirements to support Care Team workflows including task management and notifications, reducing hours spent per project by 30% while maintaining NPS of 80+.

* Provided guidance and mentorship to 6+ engineers from junior to staff level in areas such as integrating AI/LLM tooling (Claude, Cursor) and coding agents into development workflows.

* Built data models (Python, Django) and GraphQL APIs to collect care data from customers used in 50K+ tasks, to reduce time spent per task by 20%, generate $1+ million in annual savings, and deliver solutions 20% faster.

* Led development of 20+ GraphQL API types and Django models in support of Wellthy’s Concierge and Backup Care products using Python and Graphene, enabling creation of multiple front ends.

* Collaborated with Care Network team to develop new Care Network MongoDB database integrated with core Python backend and JavaScript frontend services, supporting growth to 500K+ vendors used by 20K members.

* Led collaboration with consultancy to build modern data stack linking PostgreSQL DB and other data sources to Snowflake data warehouse using dbt and ETL, optimizing report generation process for leadership by 2X.

* Built and deployed AWS Lambda infrastructure and APIs in GraphQL and Ruby on Rails to support data science team’s development of ‘Smart Learn’ recommendation engine and NLP models, serving 1M+ questions.

* Migrated core edtech learning platform from JavaScript and AngularJS to React with TypeScript, creating new features and reusable components such as questionnaire modules with page load times reduced by 30 - 40%.

* Collaborated with marketing team to facilitate changes to sign-up flows, APIs, and data collection utilizing TypeScript and React, improving conversation rates by 20%.

* Engineered Python Flask API integration with Google Nest and Shopify to handle order fulfillment for thousands of customers, driving engagement with our core product offering.

* Created improved version of our sign-up flow using JavaScript and VueJS, improving conversion rate by 25%.

* Implemented alerting, monitoring, analytics and visualizations of key metrics using SQL and Periscope Data.

* Engineered task execution engine and ETL infrastructure in Python, AWS (S3, EC2, OpsWorks, RDS), Selenium, Ubuntu Linux, MongoDB, and PostgreSQL for processing of 10,000+ health insurance applications 4X faster.

* Developed Python packages to execute multiple tasks, such as browser automation (Selenium), PDF filling, and email sending, automating 66% of enrollment process and saving over $85,000 in manual labor costs.