Ya He Email & Phone Number

San Francisco, CA, US

• Upgraded the public API to a new version seamlessly by taking care of schema changes, revising end-to-end integration tests and writing related documentation and upgrade guidelines
• Migrated events related libraries to Kafka and updated auth system to use token-based authentication libraries
• Finished third party recipients migration to support much broader use cases and better unify disclosures delivery
• Enhanced TRID triggering and override workflows; hugely reduced TRID related on-call issues
• Led the migration of specific modules to a standalone microservice from a monolithic application

New York, NY, US

• Integrated GraphQL into the existing tech stack to construct a Backend for Frontend (BFF) query layer that is responsible for fetching and stitching ad object data, stats, and internal objects in a paginated fashion:
• Set up a SQL resolver to enable CRUD operations; used Dataloader to solve the N+1 query problem and capable of querying and integrating data from both MongoDB and MariaDB at the same time.
• Used openapi-to-graphql library to generate graphql schemas by translating APIs defined by OpenAPI Specifications (OAS) or Swagger, thus connecting this BFF layer with other microservices. Maintained, upgraded and.
• Maintained and revised a self-hosted deployment service (Flask) to meet increasingly diverse deployments (e.g., dev/staging/prod, bare metal/self-hosted Kubernetes cluster/EKS)
• Simplified the configurations for all Kubernetes deployments by using helm/helmfile templates
• Migrated Jenkins CI pipeline (lint, build and test of diverse services/packages) to GitHub Actions

New York, NY, US

• Developed and maintained the backend of a premium video (OTT) ads campaign service via using Celery, Redis, RabbitMQ, AWS (S3, Lambda, Kinesis, Firehose), Sentry, ELK etc., specifically:
• Integrated with third parties’ (i.e., publishers, exchanges, DSP) API to develop an end-to-end ads campaign planning/running/monitoring service
• Implemented data pipelines to ingest real time ad logs into databases and aggregate data based on requirements
• Designed an efficient algorithm to accurately predict reach/frequency of future ads campaigns
• Implemented a real time frequency capping algorithm to efficiently block/enable users’ views to certain ads based on ads impressions

Houston, TX, US

• Research Summary (https://scholar.google.com/citations?user=vNNUEtkAAAAJ&hl=en):Investigated emerging contaminants bioremediation, antibiotic resistance genes (ARGs) attenuation, and food waste fermentation by applying.
• Bioremediation of 1,4-dioxane (dioxane), a groundwater contaminant with emerging concerns: 1) Isolation of dioxane degraders and investigation of functional genes involved in biodegradation of dioxane. 2) Bioinformatic.
• Occurrence, dissemination and treatment of antibiotic resistance bacteria/genes (ARB/ARGs) from livestock waste.
• Effects of nano-metal oxides to the attenuation of antibiotic resistance in wastewater.
• Lactate production and recovery from food waste fermentation.

Doctor Of Philosophy (Phd), Environmental Engineering

Bachelor'S Degree, Environmental Engineering