Evaluated code generated by LLMs, grading them on Security, Correctness, and Efficiency of the code

Reviewed other trainers’ evaluations of LLMs and analyzed feedback and provided potential improvements

Wrote complex code for LLMs to evaluate and build off of and graded them on Correctness and Optimization

• Created Spark + databricks backend to attribute affiliates for advertising / pushing the new product Udemy Subscriptions and pay them out accordingly

• Used Spark/Scala to analyze purchases and attribute them to the correct affiliate for payout purposes

• Enabled Server Side GTM container to remove javascript tags from our front end GTM Container

• Headed Dynamic Affiliate Commission project, where we payout affiliates for ads based on the kinds of users they bring in

• Migrated Databricks jobs to airflow dags for GDPR Compliance

• Achieved top performance bonuses at end of year 2019 and mid year 2020.

• Drove discussions and implemented improvements to latency and performance, resulting in a reduction in latency by over 50% for my service

• Worked on the PayPal Shopping team and delivered services to allow merchants and customers to use Paypal exclusive reward programs, driving millions to shop through PayPal

• Owned and maintained up to 8 services simultaneously which drove tens of millions of transactions to take place through PayPal daily

• A TA for CS 3600, or Intro to Artificial Intelligence, is well versed in the concepts taught by the class such as informed search, constraint satisfaction problems, Bayesian networks, Markov decision processes, decision trees, and neural networks

• Provides students with the means to succeed by holding office hours and responding to questions online through piazza

• The Head TA coordinates meetings and communication with the professor as well as time schedules for the TAs to make sure that there is at least one member of the team available to help students at any given time