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Registration: 13.07.2025

Arshaq Ibrahim

Specialization: Intern
— Results-driven engineering undergraduate with a strong academic background in Electrical and Electronic Engineering (B.Eng Hons) and Financial Engineering (B.Sc), backed by hands-on experience in AI, machine learning, data analysis and data engineering. — Proven ability to collaborate across cross-functional teams, solve complex technical problems, and contribute to research-driven innovation. Passionate about applying AI to real-world challenges in scalable, ethical, and impactful ways.
— Results-driven engineering undergraduate with a strong academic background in Electrical and Electronic Engineering (B.Eng Hons) and Financial Engineering (B.Sc), backed by hands-on experience in AI, machine learning, data analysis and data engineering. — Proven ability to collaborate across cross-functional teams, solve complex technical problems, and contribute to research-driven innovation. Passionate about applying AI to real-world challenges in scalable, ethical, and impactful ways.

Portfolio

Particle Type Prediction Using High Energy Gamma Radiation Data

Applied supervised learning to predict particle types from high-dimensional gamma radiation sensor data.

Airline Sentiment Analysis Using NLP

Performed sentiment classification on airline-related reviews using NLP preprocessing and supervised learning.

Mobile Phone Price Categorizer Using ML

Designed a multi-class classifier to predict mobile phone price ranges based on technical specifications.

Moving Object Detection |

Designed and implemented a computer vision system using background subtraction and motion tracking algorithms to detect and highlight moving objects in video feeds.

IoT-Based Smart Sewage Monitoring System

Designed a real-time IoT system for monitoring sewage levels and generating alerts using embedded sensors and microcontrollers.

NLP-Based Email Spam Filter

Built a text classification model using NLP techniques to accurately identify and filter spam emails.

Skills

Python
Data Engineering
SQL
JavaScript
C++
C#
C
Agile
Figma

Work experience

Associate Data Engineer
since 11.2024 - Till the present day |University of Colombo
AWS, Machine Learning, MySQL, Python, JavaScript, Lambda, S3. Amazon SageMaker
● Working alongside senior engineers in managing company databases and building ETL Pipelines. ● Transferring company databases into AWS for scalability and cost effectiveness. ● Data Cleaning, and analysis for decision making by the management. ● Collaborating with cross-functional teams to assess requirements and priorities. Projects: Diabetic Retinopathy Detection using AI. ● Developed a CNN-based deep learning model to classify retinal images for multiple stages of diabetic retinopathy detection. ● Experimented with multiple pre-trained models (transfer learning) to assess accuracy and evaluated model performance. NLP-Based Email Spam Filter. ● Built a text classification model using NLP techniques to accurately identify and filter spam emails. Airline Sentiment Analysis Using NLP. ● Performed sentiment classification on airline-related reviews using NLP preprocessing and supervised learning. Mobile Phone Price Categorizer Using ML. ● Designed a multi-class classifier to predict mobile phone price ranges based on technical specifications. Particle Type Prediction Using High Energy Gamma Radiation Data. ● Applied supervised learning to predict particle types from high-dimensional gamma radiation sensor data. Moving Object Detection. ● Designed and implemented a computer vision system using background subtraction and motion tracking algorithms to detect and highlight moving objects in video feeds. IoT-Based Smart Sewage Monitoring System. ● Designed a real-time IoT system for monitoring sewage levels and generating alerts using embedded sensors and microcontrollers. Motor Control System ● Built a microcontroller-based motor control circuit to manage speed and direction for DC motors. Temperature Monitoring and Control System. ● Implemented a real-time temperature sensing and control system using embedded components for automation.
Research / Development AI Engineer
05.2024 - 10.2024 |Sri Lanka Telecom
GenAI, Python, Fast API, LangChain, Gemini, OpenAI
● Focused on Research and Development for new products. ● Primary focus on IoT, Machine Learning and Artificial Intelligence. ● Worked on project to utilize LLM for building GenAI based Telecommunication Toolkit Agents.

Educational background

Financial Engineering (Bachelor’s Degree)
2023 - 2025
University of Colombo
Electrical and Electronic Engineering (Bachelor’s Degree)
2022 - 2025
University of Hertfordshire (UK)

Languages

EnglishAdvancedTamilUpper IntermediateSinhalaUpper Intermediate