At Benchling, I played a key role in enhancing our lab automation tools, empowering R&D teams in biology to manage and analyze experimental data at scale. My focus was on designing and optimizing systems for the ingestion, transformation, and processing of complex lab instrument data, enabling more meaningful data capture to support experimentation, collaboration, and compliance.

Key Responsibilities:

• Developed and maintained tools for bulk ingestion and transformation of tabular data from various lab instruments, ensuring seamless integration with Benchling's laboratory systems of record.

• Implemented and supported data pipelines to import and normalize data from customer-hosted sources, including laboratory computers and cloud-based systems.

• Scrum leader responsible for sprint rituals including standups, backlog grooming, and sprint planning. Responsible for triaging internal and customer escalations, and managed alignment product roadmap and daily team execution

Technologies & Tools: Python, JavaScript, AWS IoT Greengrass, S3, SQS, DynamoDB, Postgres, SQLAlchemy

• Maintain and expand Respondent's back-end databases - MongoDB and Neo4J - of platform users

• Responsible for the matching algorithm infrastructure that delivers highly targeted paid research studies to our users

• Enriching data on existing user profiles by leveraging their online social data, activity on the platform, public data for eg. information on employers etc, as well as shared patterns/behaviors with other users.

• Infrastructure for data collection and capturing of key marketplace/performance metrics for ~500 live projects, feeding charts/graphs to showcase time series data

• Designed and built failure-safe end-to-end service to log and monitor API usage, and restrict customer access by pricing tier

• Integrated Redis, Redshift and S3 to create a scalable, low-latency solution for capturing and querying usage statistics

• Created and sanitized image databases from different sources - Shopstyle, Bloglovin, Instagram,

• Developed robust API layer for Thread Genius’s service that detects bounding boxes in clothing images from URLs and an

in-app camera

• Teaching two weekly seminars covering introductions to specialized topics in Computer Science such as Encryption, Biometrics, Network Theory to freshmen with little or no experience

• Designing curriculum as well as coursework and presentation materials on specific problems within these disciplines