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Mohamed Raizee Bin Mohamed Ibrahim

Mohamed Raizee Bin Mohamed Ibrahim

NTU student

Technology / Internet

Singapore

Social

About Mohamed Raizee Bin Mohamed Ibrahim:

Looking for internship in the field of software engineering/data science

Experience

Intro: Final Year Mechanical Engineering student with specialisation in robotics.

Despite majoring in Mechanical Engineering Field, I developed a passion for coding when I was doing one of my programming modules & hence, I decided to take a software role for my credit-bearing internship where I got to explore more on Machine Learning. Although I have experience in a lower-level programming language, my interest lies in the domain of data science and artificial intelligence. As such I am currently self-learning different deep-learning frameworks, and exploring different projects that utilises NLP & OpenCV on top of my standard mechanical engineering curriculum. Additionally, I am also exploring the pathway of a web developer as I enjoy building a webpage from scratch.

Previous projects: (Oldest to recent)

Python: Developed a multivariate linear regression Model on the Airbnb Kaggle dataset to predict if the cost of stay is undervalued or overvalued (school)

Arduino: Integrate software (Arduino programming) with hardware (actuators, sensors, breadboard) to build a dispenser machine (school)

Python/MATLAB: Voice command/speech recognition using RADAR sensor & Tensorflow CNN (internship)

HTML/CSS: Design an interior design theme webpage using only HTML & CSS, no javascript functionality (self)

C: Build a TicTacToe game (self) & Quadratic Equation Solver (school)

C/real-time software: Design a signal wave generator that is able to display different types of waves such as sine wave and saw-tooth wave on the oscilloscope using multiple threads, mutex, and conditional variable

Extracting human preferences from language inputs using GPT (FYP: Ongoing)

Exploring GPT LLM and applying it to human preferences and robotics/medical applications.

To replace the current BERT (Encoder-only) model with GPT-3.5/4 LLM

  • Hard skills: Python, Machine Learning, Data Science, TensorFlow, Git (Github, Bitbucket), C, C++, ROS 1, Linux, WSL, cuda, Arduino, embedded system, Linux (Ubuntu -WSL), HTML, CSS, Canva, Excel
  • Soft skills: Leadership, Teamwork, Presentation

Education

Mechanical Engineering specialised in Robotics

Python Bootcamp, Data science & artificial intelligence courses

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