Jan 2024 – Mar 2024 · 2 mos · Sunnyvale, California, United States · Hybrid

• Part of the Orchestration team of the Sponsored Ads Campaign

Jan 2022 – Aug 2023 · 1 yr 7 mos

• Concentric Mind: Improved and managed a centralized marketplace that processed millions of user labels
• to build and deploy semantic models for all tenants from different clusters leading to an increase in tenant’s
• files' initial categorization coverage by more than 40%
• Search Service: Built a fast and scalable multi-tenant micro web application with APIs that retrieved the
• files’ k-nearest neighbors and neighbors within a range across the tenant’s all files’ content space with
• latency as low as half second
• Compress Modeling: Coded a cron job that compressed user-labeled models from a million down to
• thousands of exemplars resulting in an 88.9% increase in performance, from 9 to 1 second on average, of
• the supervised inference service
• User Labeling: Collaborated with the UI, AI, and DevOps team and developed an on-demand workflow that
• enabled users to categorize files and automatically categorize other similar files, which improved tenants’
• file categorization coverage further by at least 20%
• CCC Models Deployment: Teamed up with the Customer Success and AI team and architected a workflow
• in deploying new Concentric models into production which sped up the process by at least 3 hours
• Keyphrase: Implemented an efficient and scalable data-streaming microservice that extracts the most
• frequent noun phrases from a human-readable file that quickly give users an overview of the file

Jan 2020 – Jan 2022 · 2 yrs

• ETL Downstream 2.0: Led the refactoring of the downstream ETL pipeline architecture into a fast,
• easier-to-manage, and scalable pipeline by decoupling complex workflows into smaller workflows and
• multiple data-streaming microservices, increasing parallelization of workflows, and reducing database
• queries, which improved performance by around 23 minutes for every 100k file scan
• C2E: Installed a lightweight web application that converted the content of a file into an embedding which
• uses CPU and reduced GPU utilization costs by $277 per month
• Task Framework: Built a scalable and robust framework that deployed long-running tasks from the UI which
• removed the bottleneck from the UI when invoking long tasks and let developers easily add their own tasks
• for their features which increased productivity by at least 15%
• Embeddings Storage: Migrated the content embeddings from AWS EFS to Elasticsearch, which promoted
• the durability, persistency, and accessibility of embeddings and freed up 82 GB of storage in AWS EFS
• Multi-Shard Testing: Designed and built an integration testing for the downstream ETL pipeline that
• covered different scenarios in an account scan and mimicked production which reduced instances of bugs in
• production
• Populate DB: Coded a generic on-demand script that populated data into the database which was used in
• production to mitigate issues caused by bugs and used for data migration
• Maintained and monitored applications in production, and debugged and troubleshoot complex issues
• across SaaS product

May 2019 – Dec 2019 · 7 mos · San Francisco Bay Area · On-site

• Conceptualized and coded end-to-end automation testing using Pytest that tested the combined
• functionalities of all the microservices in the ETL pipeline, which ensured high-quality features and reduced
• regressions by more than 60%
• Automated unit testing for Python and Java-based applications that caught bugs during the Maven build and
• created a centralized test environment that reduced the runtime from 23 minutes to 11 minutes

Jan 2018 – May 2018 · 4 mos · Berkeley, CA

• Help students gain a deeper understanding about fundamental data structures, abstract data types, algorithms for sorting and searching, elementary principles of software engineering, and Java programming language
• Assist students in learning critical concepts in Python programming and statistical inference such as hypothesis testing, AB testing, bootstrapping, and deriving estimates with a hands-on analysis of real-world datasets

Jan 2018 – Apr 2018 · 3 mos · Berkeley, CA

• Mentor a group of students regarding the core topics in probability theory, including discrete and continuous random variables, central limit theorem, Poisson process, independence, Baye’s rule, and linear regression

Mar 2017 – Apr 2017 · 1 mo · San Francisco Bay Area

• A short project for CompTechS' outside company, SCIEX, which involved collecting and entering data in databases and maintaining accurate records.

Jan 2015 – Aug 2017 · 2 yrs 7 mos · San Francisco Bay Area

• Math Tutor: Tutor my fellow college students in different courses such as Statistics, Algebra, Finite Math, Precalculus, and Calculus.
• Senior Tutor: Advised, mentored, and evaluated newly hired junior tutors on how to teach and help students achieve success in their math courses.
• Front Desk: Welcome and direct students, check in and check out textbooks and calculators, answer and make phone calls, and inform students about the different programs in our center.