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About

Steve Jefferson

Hi, my name is Steve and I am a DevOps engineer at Amazon Web Services (AWS). I am responsible for ensuring the smooth operation and efficient delivery of services through the development and maintenance of our infrastructure. With a strong background in software development and system administration, I am skilled at automating processes and implementing solutions that optimize performance and reliability. I am passionate about staying up-to-date with the latest technologies and methodologies in the field, and enjoy collaborating with cross-functional teams to drive innovation and deliver results.

  • Age: 25
  • Website: www.steve-jefferson.com
  • Phone: +44 7526990685
  • City: London, United Kingdom
  • Email: stevejefferson.g@gmail.com
  • Degree:
      MSc Data Science
      BTech Computer Science
  • University:
      University of Bristol (MSc)
      Karunya University (BTech)

Skills

I have aquired a wide range of skills through working with leading industry and academic organisations including Samsung R&D, Reliance JIO and Indian Institute of Technology. I have also designed, coded and implemented real world applications of research in my projects such as an autonomous smart agricultural drone and an AI based intruder detection system deployed on raspberry pi. Below is a quick overview of my technical skills.

Python 100%
SQL 90%
Docker 75%
Tensorflow & Pytorch 80%
Serverless Computing90%
Web API Design 65%

Sumary

Steve Jefferson Robinson

Highly skilled DevOps engineer with a strong background in AI and robotics. Proficient in designing, implementing, and maintaining complex cloud infrastructure and applications using a variety of tools and technologies. Experienced in automating the deployment and scaling of applications, as well as monitoring and optimizing system performance and availability. Demonstrated ability to work effectively with cross-functional teams to deliver innovative solutions that drive business value. Passionate about staying up-to-date with the latest developments in AI and robotics and how they can be applied to improve systems and processes

  • London EC1V 9NT, United Kingdom
  • (+44) 7526990685
  • stevejefferson.g@gmail.com

Education

MSc Data Science*

2021 - 2022

University of Bristol, Bristol, United Kingdom

  • Graduate Coursework: Large-Scale Data Engineering; Advanced Data Analytics; Statistical Computing and Empirical Methods; Technology, Innovation, Business, and Society (TIBS)

BTech Computer Science & Technology

2017 - 2021

Karunya Institute of Technology and Sciences, Coimbatore, India

  • Graduate Coursework: Computer Vision; Artificial Neural Networks; Machine Learning; Deep Learning; Database Systems; Blockchain Technology; Cryptography and Network Security
  • Extracurricular Activities: Head of IT, National Entrepreneurship Network (NEN); Student Coordinator, National Service Scheme (NSS)

Professional Experience

DevOps Engineer

Sept 2022 – Present

Amazon Web Services, London, United Kingdom

  • Work with the ProServe team to help clients design, implement, and maintain their cloud infrastructure and applications using a variety of AWS services.
  • Migrated applications to the cloud, implementing automation and continuous delivery pipelines, and provided guidance on how to use AWS services to improve the efficiency and reliability of applications.

Research Intern – On Device AI

Mar 2021 – Aug 2021

Samsung R&D Institute India, Bangalore, India

  • Improved the generation time for the audio extension module by 60% by implementing a dimensionality reduction algorithm based on keynote analysis.
  • Coded advanced deep learning algorithms including Vector-Quantised Autoencoder, LSTM, GAN and Transformers to locate the optimum model for audio data generation.

ML and Cloud Computing Intern

Dec 2020 – May 2021

Indian Institute of Technology Bombay, Mumbai, India

  • Built a system for extracting values from bank passbook data, utilising knowledge graph rule induction and formal concept analysis.
  • Implemented a developer portal, to enable developers to dynamically generate API keys with AWS Cognito and track their usage on the portal with AWS CloudWatch.

Portfolio

I have a strong passion for building and developing innovative projects that showcase my skills and creativity. My projects demonstrate my expertise in a wide range of technologies and techniques. Please click on the images below, for more information.

  • Projects
  • Blog
  • Research

Contact

Please feel free to contact me should you require any additional information.

Location:

London - EC1V N9T, United Kingdom

Call:

(+44) 752 699 0685

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