Hi, I'm Anna
I am
I am a Machine Learning and Relevance Engineer at LinkedIn.
I earned my Master of Science in Engineering in Data
Science along with a Mathematics and Computer Science Bachelor's degree from the
University of Pennsylvania.
Through my graduate coursework I did a concentration in Machine Learning,
and completing a Thesis in the field of Computational Linguistics about Generating Text-based Adventure Games
under the mentorship of Lara
Martin and
the supervision of Professor Christopher
Callison-Burch.
At Penn, I took on a challenging course-load including theoretical Mathematics,
Computer Science, Statistics
and graduate-level AI/ML classes.
Furthermore I gained invaluable teaching experience while I was a Teaching Assistant for no less than 4 courses in several departments, including Computer and Information Science, Electrical and Systems Engineering as well as in the department of Networked and Social Systems Engineering.
Furthermore I gained invaluable teaching experience while I was a Teaching Assistant for no less than 4 courses in several departments, including Computer and Information Science, Electrical and Systems Engineering as well as in the department of Networked and Social Systems Engineering.
In Summer 2021, I worked at LinkedIn as an
Artificial Intelligence - Machine Learning Engineer
Intern on the Standardization Team based in New York City. Here I was given the opportunity to
create an embedding space for LinkedIn's 20 million companies using GNN's, while getting my hands dirty
with Scala, Apache Spark, TensorFlow, Keras, scikit-learn, among others.
I had the pleasure of working as an Artificial Intelligence and Data
Science Intern at the AIDA team of MBition
- Mercedes-Benz Innovation Lab. During the Summer 2020 I built an automated Data Quality Assurance system
by implementing state-of-the-art time series models including SARIMAX, LSTMs and Prophet.
I pursued a year-and-a-half long internship in
LogMeIn's Machine Learning (Applied
Research) team. I created innovative solutions for Bold360 AI's customers by doing industry-leading
research in the field of Natural Language Processing. Most importantly, I
developed an award-winning Hackathon project for training Q&A systems using state-of-the-art Deep Neural
Networks (BERT) the technology which is on the forefront of NLP. We were awarded 1st prize Tech
Innovation + Audience favorite prize + 2nd place Best Business Value Innovation.
As a sophomore I was recruited by
Facebook for a Software Engineering Internship position to work on
their Data Transfer Infrastructure team. Through single-handedly building an
internal software for petabytes-sized data transfer, I operated with multi-tenancy, network utilization,
scheduling, cross-dc connection-pooling, etc. I primarily developed using C++, but I also had the
pleasure of learning about SQL and Apache Hive, the tools most often used by Facebook's Data Scientists.
I interned at RapidMiner
as a member of the core developers' team right after my first year of college. Here I
developed RapidMiner's two flagship products, RapidMiner Studio and Radoop. I learned about the dynamics
of a developer team and mastered my Java skills and became familiar with Data Science tools
such as Apache Hadoop and Spark.