Hi there, I'm Hamad Alajeel, a graduate-trained machine learning practitioner with strong foundations in deep learning, generative models, and ML systems. I have experience in applied research, AI automation, and building production-oriented workflows across industry and academia. I am passionate about applying ML to real-world problems, collaborating with cross-disciplinary teams, and delivering scalable AI solutions that empower users and stakeholders.

Hamad Alajeel

Hi there, I'm Hamad Alajeel, a graduate-trained machine learning practitioner with strong foundations in deep learning, generative models, and ML systems. I have experience in applied research, AI automation, and building production-oriented workflows across industry and academia. I am passionate about applying ML to real-world problems, collaborating with cross-disciplinary teams, and delivering scalable AI solutions that empower users and stakeholders.

Available to hire

Hi there, I’m Hamad Alajeel, a graduate-trained machine learning practitioner with strong foundations in deep learning, generative models, and ML systems. I have experience in applied research, AI automation, and building production-oriented workflows across industry and academia.

I am passionate about applying ML to real-world problems, collaborating with cross-disciplinary teams, and delivering scalable AI solutions that empower users and stakeholders.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

Arabic
Fluent
French
Advanced

Work Experience

AI Automation Intern at Revscale Technologies Inc.
June 1, 2025 - August 1, 2025
Created a scalable data pipeline that upserted pre-processed, deduplicated client responses into a vector database, enabling Retrieval-Augmented Generation for more accurate and personalized client interactions. Saved Accounting team several hours per week by automating campaign performance reporting and generating actionable insights and recommendations. Improved Revscale’s AI voice agents by enabling intelligent scheduling suggestions, reducing friction for leads and increasing successful meeting bookings. Reduced operational downtime by implementing centralized error monitoring and daily summaries, allowing teams to quickly identify and resolve recurring issues.
Research Intern at UCSD Department of ECE
April 1, 2024 - July 1, 2024
Collaborated with Professor Yang Zheng to program large- and small-scale simulations in Julia to experiment with different control strategies for connected autonomous vehicles in a traffic system including human drivers. Verified findings indicating that incorporating connected autonomous vehicles in traffic leads to steadier traffic flow and better control of perturbations.

Education

B.S., Electrical Engineering at University of California San Diego
January 11, 2030 - June 1, 2024
M.S., Machine Learning and Data Science at University of California San Diego
January 11, 2030 - December 1, 2025

Qualifications

Foundations of AI and Machine Learning — Coursera [Certificate]
January 11, 2030 - February 5, 2026
Microsoft Certified: Azure Data Scientist Associate — In Progress
January 11, 2030 - February 5, 2026

Industry Experience

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