I'm Bilal Ghanem, an innovative and impact-driven AI leader with over 6 years of experience spanning industry and academia. I specialize in applied data science, large language models (LLMs), and advanced NLP systems, and I have a track record of publication in venues like ACL and ECIR. I enjoy leading cross-functional teams to build and deploy scalable ML and GenAI solutions across domains. I design robust evaluation frameworks, optimize prompt and retrieval performance in RAG pipelines, and fine-tune cutting-edge LLMs. I have end-to-end AI lifecycle experience from experimentation to production, emphasizing performance, quality, and compliance, and I value collaborative leadership, mentorship, and a human-centered approach to shaping the future of AI.

Bilal Ghanem

I'm Bilal Ghanem, an innovative and impact-driven AI leader with over 6 years of experience spanning industry and academia. I specialize in applied data science, large language models (LLMs), and advanced NLP systems, and I have a track record of publication in venues like ACL and ECIR. I enjoy leading cross-functional teams to build and deploy scalable ML and GenAI solutions across domains. I design robust evaluation frameworks, optimize prompt and retrieval performance in RAG pipelines, and fine-tune cutting-edge LLMs. I have end-to-end AI lifecycle experience from experimentation to production, emphasizing performance, quality, and compliance, and I value collaborative leadership, mentorship, and a human-centered approach to shaping the future of AI.

Available to hire

I’m Bilal Ghanem, an innovative and impact-driven AI leader with over 6 years of experience spanning industry and academia. I specialize in applied data science, large language models (LLMs), and advanced NLP systems, and I have a track record of publication in venues like ACL and ECIR. I enjoy leading cross-functional teams to build and deploy scalable ML and GenAI solutions across domains.

I design robust evaluation frameworks, optimize prompt and retrieval performance in RAG pipelines, and fine-tune cutting-edge LLMs. I have end-to-end AI lifecycle experience from experimentation to production, emphasizing performance, quality, and compliance, and I value collaborative leadership, mentorship, and a human-centered approach to shaping the future of AI.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Arabic
Advanced

Work Experience

Senior Principal Machine Learning Engineer at Gartner / TalentNeuron
July 1, 2022 - January 1, 2026
Led the development of advanced NLP solutions leveraging LLMs to analyze global job postings and extract structured data. Designed and implemented state-of-the-art NLP pipelines for tasks including machine translation, regression, classification, and NER. Built agentic workflows connected to RAG pipelines for retrieval-augmented, multi-step analysis over large-scale labor market data. Provided technical leadership and mentorship to machine learning engineers, fostering best practices in NLP and project delivery.
Postdoctoral Researcher at University of Alberta
May 1, 2021 - July 1, 2022
Worked on text generation (question generation & answering) and evaluation for educational texts. Mentored and supervised students on their research projects, providing weekly feedback and guidance to ensure their success. Demonstrated consulting expertise by providing valuable insights and collaborating effectively with research partners on language technology projects.
Research Scientist at Symanto
April 1, 2020 - January 1, 2021
Worked on creating NLP applications with a focus on psycholinguistic/psychology theories. Collaborated in building Aspect-based Sentiment Analysis, Author Profiling, and psychology-based NLP projects.
Data Auditor at Al‑Quds Open University
February 1, 2016 - November 1, 2017
Analyzed and audited large-scale registration data using SQL queries to identify patterns and trends. Generated detailed reports on data integrity and accuracy, ensuring data quality and consistency. Reporting data issues/problems to the concerned registration department branches to address and resolve them. Contributed to data-driven decision-making processes by providing valuable insights from data analysis.
Software Developer (Intern.) at DiGiTAL DYNAMiCS
May 1, 2014 - September 1, 2014
Developing and updating Windows applications using C#.NET. Testing new models, planning for new ideas to be applied. Customer support with training users to use new or modified models.

Education

PhD in Computer Science at Universitat Politècnica de València (UPV)
January 1, 2018 - December 1, 2020
PhD Internship at Sorbonne Paris Nord University (LIPN Lab)
June 1, 2019 - September 1, 2019
PhD Internship at SYMANTO
November 1, 2019 - January 1, 2020

Qualifications

Certified by 23+ courses in various disciplines (text mining, machine learning, deep learning, big data, Oracle OCA)
January 11, 2030 - January 28, 2026

Industry Experience

Software & Internet, Education, Media & Entertainment, Professional Services, Other