Work Experineces

Machine Learning Research Intern at LinkedIn, Sunnyvale, CA, Summer 2020
Project: Fairness in a Two-Sided Marketplace

• Developed an end-to-end pipeline ensuring fairness for both source and destination members in the ranking system of PYMK (People You May Know).
• Developed the framework at the scale using Apache Spark (Scala) and Hadoop. R programming language was used for the optimization. Mentor: Kinjal Basu
• keywords: Spark, Hadoop, Scala, R, Optimization, Fairness, Ranking

Data Science Intern at Morningstar, Inc., Chicago, IL, Summer 2018

• Built a document classification system using LSTM RNN neural networks.
• keywords: LSTM RNN, GRU, Glove Embedding, AWS, Keras, Scikit-learn, Numpy, Pandas

Software Engineer, Machine Learning at MITRC, Tehran, Iran, 2014-2016

• Built an information extraction system to extract existing relations from text using a bootstrap methodology by augmenting seeds, relations and patterns in the system.
• keywords: Git, IntellijIDEA, Maven, Scrum, Agile Methodologies, StanfordNLP, LingPipe, Information Extraction, Spark