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Hamad Alajeel

Intern Machine Learning & AI Automation Engineer specializing in ML workflows and AI hardware

Revscale Technologies Inc.UC San DiegoFort Lauderdale, FL0 Years ExperienceIntern LevelWorks On-Site

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About

ML practitioner with hands-on experience adapting diffusion models (DDPM + U-Net in PyTorch) to improve low-dose CT medical imaging quality via denoising and upsampling against high-dose ground truth. Also built a RAG workflow during a recent internship by cleaning client survey data, embedding with OpenAI text-embedding-3-large, and indexing in Pinecone with MD5 deduplication, alongside a strong emphasis on production-grade Python practices.

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Key Strengths

  • Applied diffusion models (DDPM) with U-Net in PyTorch for low-dose CT denoising and upsampling
  • Strong data quality discipline: normalization, deduplication, range checks, and correct low/high-dose pairing
  • Built RAG retrieval pipeline using OpenAI embeddings + Pinecone with MD5-based dedupe
  • Production-minded Python engineering: OOP/abstractions, explicit error traps, edge-case testing, peer review, and thorough documentation

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Experience

AI Automation InternRevscale Technologies Inc. · Jun 2025 – Aug 2025internship
Research InternUCSD Department of ECE · Apr 2024 – Jul 2024internship
Teaching AssistantUCSD Department of ECE · Jul 2023 – Sep 2023part-time

Education

UC San Diegobachelor, Electrical Engineering (2024)
UC San Diegomaster, Machine Learning and Data Science (2025)

Awards

  • Caledonian honors society member (2024) - University of California San Diego
  • Booker award (2023–2024) - University of California San Diego

Skills

Azure DevOpsCC++Data PipelinesDeep LearningError HandlingGenerative AIGitHubLarge Language Models (LLMs)MatplotlibNumPyPandasPineconePyTorchRecommender Systems

Languages

ArabicFarsiFrench

Publications

1 publication

Engineering educationOral assessmentsStudent learning outcomes

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AI & Machine LearningAI & Machine Learning in Greater MiamiAzure DevOpsCC++Convolutional Neural Network (CNN)

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Typically responds within 24 hours

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Hamad AlajeelIntern Machine Learning & AI Automation Engineer specializing in ML workflows and AI hardware