* Worked on Subscription and Consent Management Platform built on React and Python with sharded MySQL databases and RabbitMQ and Kafka Streams.

* Built multiprocessing python script to loadtest system at 200k requests per minute

* Completed cross-team project to enable whatsapp subscription confirmations

* Debugged questions from the Customer Success team

• Built several authed Typescript Node Express and Python Fast APIs adhering to the OpenAPI standards.

• Created a public API with authentication to send events to private Kafka queues, which was used by 2 microservices.

• Enhanced observability via Prometheus, Alloy, and Grafana alerts across multiple services reducing the mean time

to detect an issue from ~4 hours to ~10 minutes.

• Created development environment with virtual Kafka queues, Postgres, and microservices via Tilt and Docker which

allowed multiple developers to work on features in parallel, lowered onboarding costs, made it possible to test critical

code changes and reduced testing cycle from ~20 minutes to ~1 minute.

• Automated shopify product creation pipeline through refactoring, sql query generation, and shopify GraphQL calls

for certain product types reducing time to creation from 6 hours to 30 minutes.

• Developed various React and Node full-stack internal tools to manage inventory and shipping.

• Developed various Python ETL pipelines which synced 3rd party data into Snowflake via webhooks and cronjobs.

• Migrated multiple microservice apps from Heroku to EKS enabling observability work.

• Migrated CI/CD pipeline from AWS CodeBuild to Github Actions which improved the stability of deployments.

• Built fullstack features React frontend with Relay state hydration and Python GraphQL backend with Postgres.

• Optimized Postgres queries through proper indexing using explain analyze queries and monitoring response times.

• Developed productivity web apps for insurance agents, enabling streamlined call management and task organization.

• Implemented automated callbacks using Twilio, which doubled revenue per lead.

• Enhanced observability via Prometheus, Alert Manager, and Grafana across multiple services.

• Maintained Postgres to snowflake data pipeline by debugging dbt models and airflow configs.

• Mentored junior engineers on different teams through mentorship program giving programming and career advice.

• Developed a mobile first responsive multidimensional filtering system for navigating health insurance plans.

• A/B tested various frontend React components, to create new functionality and improve conversion rates.

• Developed application across multiple microservices written in Typescript and Go with JWT authentication.

• Updated versioned Zip to City Go API service used by multiple different microservices.

• Mentored intern on a fullstack React frontend Python backend project.

• Developed Python services, tools, and ETLs to effectively analyze the effectiveness (Click Through Rate, Conversion

Rate, Cost per Acquisition, Return On Ad Spend of display and search advertisements to everquote.com.

• Designed and implemented a high-performance Ad Server ETL that processed and aggregated large volumes of data

(~250 GBs per day) for advanced analytics via Python in memory caching, Firehose, Databricks, and Snowflake.

• Owned and scaled a multi-arm bandit Ad Server ($10k/day, 600 req/s), and an Multi Arm Bandit Ad Bidder ($5k/day),

driving targeted advertising campaigns and maximizing ROl.

• Used Natural Language Toolkit (NLTK) to optimize search ads by identifying and linking common search keywords,

resulting in improved ad targeting and click-through rates.