Developed features and tools to optimize clients’ multi-tenant biotech R&D experience.

Designed and implemented a data migration from scheduled scripts to a real-time streaming system using Apache Kafka and a Flink microservice.

Performed experiments on merchant advertisement bidding methods, increasing feature users by 15%.

Developed microservice features using Python, Go, GraphQL and MongoDB to handle seller promotions.

Executed Agile workflow, participating in stand-ups, demos, reviews, and retrospectives.

Led the project of connecting a new client to the company’s software, which involved direct communication with the client and eventually handling millions of dollars in liquidity.

Solved low latency concurrency problems involving traders and brokers using C++.

Applied natural language processing capabilities of Spacy and NumPy to generate potential user search queries to supplement model training data for one of the top search engines for accounting documents.

Collaborated with research scientists to engineer new machine learning model solutions.

Automated the machine learning model creation pipeline using Python and Shell scripts, allowing for the experimentation of over 100 combinations of features during the term.

Automated the machine learning model creation pipeline using Python and Shell scripts, allowing for the experimentation of over 100 combinations of features during the term.