Summary
Work History
Education
Skills
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Raymond Gladson Daniel

London,UK

Summary

Dedicated student specializing in Artificial Intelligence with strong analytical and problem-solving skills complemented by effective communication and teamwork abilities. Adept at collaborating to achieve common objectives and committed to delivering results in line with project plans. Passionate about sharing knowledge and skills to foster team success and drive towards collective goals.


Work History

ML Engineer Intern

CGI India
02.2024 - 04.2024
  • Worked on developing an AI proctoring system for online exam proctoring as well as various backend database tasks.
  • Performed some data mining tasks

Intern

CGI India
11.2023 - 01.2024
  • Created OCR models for text recognition and language translation from documents and images using Pytesseract, NLLB and Rosetta.

Education

Master of Science - Artificial Intelligence

Queen Mary University of London
London
09.2024 -

Bachelor of Technology in CSE - Computer Science Engineering

Dayananda Sagar University
Bangalore
11.2020 - 05.2024

Grade 12 (A-Levels) - Science

CMR National PU College
Bangalore
06.2018 - 03.2020

Grade 10 (GCSE) - Science

Bishop Cotton Boys' School
Bangalore
06.2016 - 03.2018

Skills

    Programming & Software Development:

  • Proficient in Python (Machine Learning, Data Analysis, and Data Visualization)

    • Machine Learning & Artificial Intelligence:

  • Hands-on experience with TensorFlow, MediaPipe, and PyTorch for deep learning applications
  • Expertise in implementing algorithms like Random Forest, Naive Bayes, and Neural Networks
  • Familiar with Kaggle and Google Colab for model development and experimentation

    • Data Science & Visualization:

  • Proficient in libraries such as Matplotlib, Pandas, and NumPy for data analysis and visualization
  • Experienced in working with datasets for predictive modeling and classification tasks

    Computer Vision & OCR:

  • Developed Optical Character Recognition systems using PyTesseract and CRNN
  • Implemented automated annotation and transformation pipelines for image data

    • Database Management:

  • Familiar with SQL for database design, manipulation, and optimization

    • Cybersecurity & Vulnerability Assessment:

  • Familiar with Nessus Vulnerability Assessment Tool


Projects

Comparing the performance of 15 ML and DL algorithms using a DiabeticRetinopathy dataset, 11/2023, 12/2023 Stroke Prediction using Machine Learning along with a visual representation of the results obtained, 04/2023, 05/2023 Clone Nike Website using HTML, CSS, JavaScript, React along with Node.js and MongoDB at the backend, 03/2023, 05/2023 Custom MySQL Database for Banking Website which allows efficient storage, retrieval and analysis of data with custom queries, 02/2022, 05/2022 Created OCR models for text recognition and language translation from documents and images using Pytesseract, NLLB and Rosetta, 11/2023, 01/2024 Interned as ML Engineer at CGI India (AI Large Language Model Sophia), 09/2022, 12/2022 Detection of Dyslexia using Deep Learning and algorithms such as Random Forest, Naive Bayes, etc., 06/2018, 05/2020 Detection of Diabetic Retinopathy using Convolutional Networks, DeepLearning and Transfer Learning, NOVEMBER 2020, JUNE 2024

Timeline

Master of Science - Artificial Intelligence

Queen Mary University of London
09.2024 -

ML Engineer Intern

CGI India
02.2024 - 04.2024

Intern

CGI India
11.2023 - 01.2024

Bachelor of Technology in CSE - Computer Science Engineering

Dayananda Sagar University
11.2020 - 05.2024

Grade 12 (A-Levels) - Science

CMR National PU College
06.2018 - 03.2020

Grade 10 (GCSE) - Science

Bishop Cotton Boys' School
06.2016 - 03.2018

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