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Peter M. AI, Data Science and Machine Learning Platforms

My name is Peter M. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: C++, Data Science, Keras, Machine Learning, Reinforcement Learning, etc.. I hold a degree in Master's degree, Master of Science (MS). Some of the notable projects I've worked on include: Machine learning for retaill recommender systems. I am based in London, United Kingdom. I've successfully completed 1 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • AI, Data Science and Machine Learning Platforms

    5 years

  • C++

    4 Years

  • Data Science

    3 Years

  • Keras

    1 Year

Additional skills

  • C++
  • Data Science
  • Keras
  • Machine Learning
  • Reinforcement Learning
  • NumPy
  • Python
  • TensorFlow
  • MATLAB
  • PyTorch
  • Statistics
  • Data Model
  • Data Analysis
  • Python Numpy FastAI
  • Numerical Computing Software

Direct hire

Potentially possible

Previous Company

Aviva insurance

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Experience Highlights

Machine learning for retaill recommender systems

Improved the accuracy of an online clothes sizing recommendation tool Developped and productionised ML algorithms for body shape and size inference from questionnaire response input data Reduced retur

Education

  • University of Oxford

    Master's degree in Computer science

  • Imperial College London

    Master of Science (MS) in Computational Physics

Languages

  • English (Native or Bilingual)
  • French (Fluent)
  • Italian (Fluent)