Abdallah Bashir

Machine Learning Engineer

Goldman Sachs

Biography

Hi! I am Abdallah. Welcome to my homepage. I am a Machine Learning engineer at the NLPIR team in Goldman Sachs. I have obtained my MSc degree in Computer Science from Saarland University. My thesis focuses on leveraging self-supervised learning in domain specific languge models. My research interests include solving real world NLP problems. I can be classified with high confidence as a coffeeholic Ambievert who loves to talk about comedy, travel (below images are my own), politics, and philosophy.

Download my resumé.

Interests

Machine Learning/Deep Learning.
Natural language processing (NLP).
Medical NLP.
Neural Machine Translation.
Dilague Systems.
Transfer Learning.

Education

M.s in Computer Science, 2021
Saarland University
B.S. in Electrical and Electronic Engineering, Software Engineering, 2018
University of Khartoum

Experience

Machine Learning Engineer

Goldman Sachs

Aug 2022 – Present London

Research and implement novel machine learning and deep learning algorithms and models.
Specialize in NLP modeling, utilizing LLM for text classification, named entity recognition, question answering, semantic parsing, and uncertainty modeling in low-resource domains.
Deploy machine learning models to production while adhering to strict constraints around model size, training, and runtime latency.
Design and maintain deployment pipelines, including continuous integration and delivery, version control, and monitoring.
Balance model accuracy and efficiency against business and operational requirements.
Possess technical expertise in NLP modeling, project management skills, and a deep understanding of business and operational constraints.

Applied Scientist Intern

Amazon

Apr 2022 – Jul 2022 Seattle, WA

Implemented a framework for analyzing trending topincs in Alexa traffic.
Implementing a clustering model to help annotate training data.

Research Intern

Allen AI

Jan 2022 – Mar 2022 Seattle, WA

Conduct research in Natural Language Proceeding Data Augmentation using Language models
Implemented pipelines that leverage models like Albert and BART to extrapolate already built datasets.

Applied Scientist Intern

Goldman Sachs

Apr 2021 – Aug 2021 Frankfurt, DE

Curate, parse, preprocess data related to git projects in the organization.
Implementing Deep learning models with Attention to identify high risk changes in Git Software products.
Achievements - Implemented a Machine Learning based tool to help code reviewers to detect high risk changes in software product

Research Assistant

Max Planck Institute for Informatics

Nov 2019 – Mar 2021 Saarbrucken

Conducting research on integrating common sense in neural language models.
Implementing novel methods to integrate common sense knowledge to language models.
Implemented API to parse and preprocess JSON text data for modeling.
Built web scraper to scrape medical scientific abstracts.
Applied NLP state-of-the-art techniques (tokenizers, models, transfer learning) on medical domains.
Achievements - Implemented models to fine-tune language Models like BERT and Roberta on Named entity recognition and text classification tasks with +90% accuracy.

Intern

Dialog Systems and Machine Learning - HHU

Aug 2019 – Sep 2019 Düsseldorf

Ported Pydial 2.0 to Pydial 3.0 (an open-source statistical dialogue systems tool).
Achievements - Wrote and reviewed code for Experiments, unit tests, and evaluation of the porting process. ported the library with 0% errors.

Research Assistant

German Research Center for Artificial Intelligence ( DFKI )

May 2019 – Jul 2019 Saarbrucken

Built an API to preprocess text data and get it in shape for modeling.
Achievements - trained Classifier by fine-tuning BERT to classify post machine translation errors.

Co-Founder, Software Engineer

EchoNine IT Solutions

Sep 2015 – Oct 2016 Khartoum

Gathered and defined customer requirements to develop clear specifications for creating well-organized project plans.
Designed, built, and monitored web/mobile applications and sites for continuous improvement.
Achievements - building a product in cooperation with Zain Sudan, the top telecommunication company in the country.