Overview
Work History
Education
Skills
Timeline
PUBLICATIONS
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Amanuel Alambo

San Jose,CA

Overview

15
15
years of professional experience

Work History

Applied Researcher 2

eBay Inc.
04.2024 - Current
  • Trained and tested multi-modal large language transformer models using listings’ images, titles, categories, and aspects.
  • Developed multi-modal query-item embedding ranking features using large language models.
  • Currently leading a research effort on query-item features development used for search ranking.
  • Designed and set up A/B test experiments and conducted analysis of experiment results.
  • Employed internal Generative AI (GenAI) for training dataset generation to train transformer LLMs.

Applied Researcher 1

eBay Inc.
08.2022 - 03.2024
  • Developed and launched a deep learning-based search ranking query-item embedding feature that brought a GMV 0.36% to eBay.
  • Trained machine learning models for prediction of end user engagement (Conversion and Click Through Rate) on eBay Search Activity data using.
  • Wrote pipelines in Scala/Spark for generating data for training Learning to Rank (LTR) models.
  • Conducted offline and online (using touchstone experiment platform) experiments for evaluating the impact of features I have developed on MLR models.
  • Prepared design, experiment, and launch review documents for search ranking features.

GRADUATE RESEARCH ASSISTANT

Wright State University
05.2018 - 07.2022
  • Build deep learning models for summarization of scientific articles as well as predicting pain from clinical notes of patients with sickle cell disease.
  • Develop a tool for semantic trailblazing of unstructured biomedical text using structured background knowledge using a combination of utilities (ElasticSearch, Python-based RESTful API).
  • Led an NIH-funded project on Clinical Text Mining of EHR data of patients with Sickle Cell Disease.

APPLIED RESEARCH INTERN - PhD Technical

eBay Inc.
05.2021 - 08.2021
  • Trained and tested deep learning models for item popularity prediction from search activity data in terms of click-through rate, and purchase-through rate.
  • Wrote Scala/Spark programs for training data generation from streaming user behavioral data for training machine learned ranking models.

SYSTEMS ENGINEER

ZTE Corporation (China-Ethiopia)
10.2011 - 08.2017
  • Supervised software development team; co-developed enterprise Unified Authentication Center (UAC) and SOC (Security Operations Center) systems.

Education

Doctor of Philosophy (PhD) - Computer Science and Engineering

Wright State University
Dayton, OH, USA
07-2022

Master of Science (M.Sc) - Computer Science

Wright State University
Dayton, OH, USA
07-2020

Bachelor of Science (B.Sc) - Electrical Engineering

Jimma University
Jimma, Ethiopia
07-2009

Skills

  • Programming/Scripting Languages: Java, C/C, Python, Scala, CUDA, Shell, JavaScript, LISP
  • Python: Pytorch, scikit-learn, tensorflow, keras, nltk, gensim, numpy, pandas, scipy, seaborn, matplotlib
  • Tools/Technologies: Git, GPU Programming with CUDA, Apache Spark, Hadoop, AWS, Docker
  • Research: Large Language Models, Natural Language Processing, Deep Learning

Timeline

Applied Researcher 2

eBay Inc.
04.2024 - Current

Applied Researcher 1

eBay Inc.
08.2022 - 03.2024

APPLIED RESEARCH INTERN - PhD Technical

eBay Inc.
05.2021 - 08.2021

GRADUATE RESEARCH ASSISTANT

Wright State University
05.2018 - 07.2022

SYSTEMS ENGINEER

ZTE Corporation (China-Ethiopia)
10.2011 - 08.2017

Master of Science (M.Sc) - Computer Science

Wright State University

Bachelor of Science (B.Sc) - Electrical Engineering

Jimma University

Doctor of Philosophy (PhD) - Computer Science and Engineering

Wright State University

PUBLICATIONS

  • Amanuel Alambo, Sathappan Muthiah, Diego Sierra, Zhenzhong Zhang, Atiq Islam, Alex Cozzi. “Beyond Semantic Similarity: Explicit Intent Modeling for Query-Product Matching” - Accepted to SIGIR 2026 Industry Track
  • Alambo, Amanuel, Tanvi Banerjee, Krishnaprasad Thirunarayan and M. Raymer. “Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature.” - The 26th International Conference on Pattern Recognition (ICPR) 2022, Montreal, Quebec.
  • Alambo, Amanuel, Tanvi Banerjee, Krishnaprasad Thirunarayan, and Mia Cajita. “Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization.” The 44th International Conference on IEEE Engineering in Medicine and Biology Society (EMBC) 2022, Glasgow, Scotland.
  • Alambo A., Padhee S., Banerjee T., Thirunarayan K. (2021) COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study. In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12662. Springer, Cham.
  • Padhee, Swati, Amanuel Alambo, Tanvi Banerjee, Arvind Subramanian, Daniel M. Abrams, Gary K. Nave Jr, and Nirmesh Shah. “Pain Intensity Assessment in Sickle Cell Disease patients using Vital Signs during Hospital Visits.” In: Del Bimbo A. et al. (eds) Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12662. Springer, Cham.
  • Gaur, Manas, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonathan Beich, Jyotishman Pathak, and Amit Sheth. “Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS.” PLoS ONE 16(5): e0250448.
  • Manas, Gaur, Vamsi Aribandi, Ugur Kursuncu, Amanuel Alambo, Valerie L. Shalin, Krishnaprasad Thirunarayan, Jonathan Beich, Meera Narasimhan, and Amit Sheth. “Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study.” JMIR Mental Health 8, no. 5 (2021): e20865.
  • Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael Raymer. “Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles”. 2020 IEEE International Conference on Big Data (Big Data), 2020, pp. 591-596, Atlanta, Georgia.
  • Amanuel Alambo, Manas Gaur, Krishnaprasad Thirunarayan. “Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19”. In Proceedings of KDD Workshop on Knowledge-infused Mining and Learning (KiML’20), San Diego, California, USA.
  • Amanuel Alambo, Ryan Andrew, Sid GollaraHall, Jacqueline Vaughn, Tanvi Banerjee, Krishnaprasad Thirunarayan, Daniel Abrams, and Nirmish Shah. “Measuring Pain in Sickle Cell Disease using Clinical Text”. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, Canada.
  • Kursuncu, Ugur, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie Shalin, Dilshod Achilov, I. Budak Arpinar, and Amit Sheth. “Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate.” Proceedings of the ACM on Human-Computer Interaction 3, no. CSCW (2019): 1-22.
  • Alambo, Amanuel, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit Sheth, Randon S. Welton, and Jyotishman Pathak. “Question answering for suicide risk assessment using reddit.” In 2019 IEEE 13th International Conference on Semantic Computing (ICSC), pp. 468-473. IEEE, 2019.
  • Gaur, Manas, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randy Welton, and Jyotishman Pathak. “Knowledge-aware assessment of severity of suicide risk for early intervention.” In The World Wide Web Conference, pp. 514-525. 2019, San Francisco, CA.
  • Gaur, Manas, Ugur Kursuncu, Amanuel Alambo, Amit Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, and Jyotishman Pathak. ““Let Me Tell You About Your Mental Health!” Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention.” In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 753-762. 2018.
Amanuel Alambo