Major project

1. Led the development of an AI-powered Trust & Safety platform to enhance user protection and policy enforcement.

2. Optimized ML model accuracy through fine-tuning of LLM.

3. Improved developer productivity and experience through AI-agent-driven workflows

4. Spearheaded the design and implementation of identity verification systems, including background checks and re-entry validations.

5. Developed and optimized scam and fraud detection systems leveraging machine learning and natural language models.

6. Drove cross-functional collaboration to streamline LLM application deployment and improve operational efficiency.

7.Built and maintained core pricing services.

Major projects:

1. lead the effort to improve Trust & Safty platform

Major projects:

1. Unified real-time machine learning platform. This platform enables data scientists deploy models written in python to online scoring system (mostly java-based) with little effort.

2. IOT-related projects . Make Walmart voice shopping more extensive.

Related tools & langauges: Spark MLib, tensorflow, MLeap, Scala, Play framework, Python, Java

Major project: Online Advertising System

1. Own the ETL pipeline of Ads attribution system. The data pipeline handles upto 1 billion events per day. It consists of both batch and real-time processing functionalities.

2. Analyzing data with machine learning toolbox, like Spark MLib.

Related Techniques: Hive, Cassandra, Azkaban, Pig, Spark, sklearn