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With a strong foundation in computer science and a growing curiosity for intelligent systems, I’ve developed solid skills in programming, mathematical modeling, and data-driven problem solving. My interest in AI deepened through hands-on work and personal exploration across various domains, including computer vision, classical machine learning, and reinforcement learning. Working with modern language technologies sparked a particular fascination—not just as a user, but as someone intrigued by their inner workings. This led me from core NLP concepts to attention mechanisms and transformer-based models. Motivated by their potential to extend human capability, I’m eager to deepen my understanding and contribute to meaningful research in this evolving field.…With a strong foundation in computer science and a growing curiosity for intelligent systems, I’ve developed solid skills in programming, mathematical modeling, and data-driven problem solving. My interest in AI deepened through hands-on work and personal exploration across various domains, including computer vision, classical machine learning, and reinforcement learning. Working with modern language technologies sparked a particular fascination—not just as a user, but as someone intrigued by their inner workings. This led me from core NLP concepts to attention mechanisms and transformer-based models. Motivated by their potential to extend human capability, I’m eager to deepen my understanding and contribute to meaningful research in this evolving field.

Adam Gaida

Web Developer, Programmer, AI Engineer, +2

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With a strong foundation in computer science and a growing curiosity for intelligent systems, I’ve developed solid skills in programming, mathematical modeling, and data-driven problem solving. My interest in AI deepened through hands-on work and personal exploration across various domains, including computer vision, classical machine learning, and reinforcement learning. Working with modern language technologies sparked a particular fascination—not just as a user, but as someone intrigued by their inner workings. This led me from core NLP concepts to attention mechanisms and transformer-based models. Motivated by their potential to extend human capability, I’m eager to deepen my understanding and contribute to meaningful research in this evolving field.…With a strong foundation in computer science and a growing curiosity for intelligent systems, I’ve developed solid skills in programming, mathematical modeling, and data-driven problem solving. My interest in AI deepened through hands-on work and personal exploration across various domains, including computer vision, classical machine learning, and reinforcement learning. Working with modern language technologies sparked a particular fascination—not just as a user, but as someone intrigued by their inner workings. This led me from core NLP concepts to attention mechanisms and transformer-based models. Motivated by their potential to extend human capability, I’m eager to deepen my understanding and contribute to meaningful research in this evolving field.

Available to hire

With a strong foundation in computer science and a growing curiosity for intelligent systems, I’ve developed solid skills in programming, mathematical modeling, and data-driven problem solving. My interest in AI deepened through hands-on work and personal exploration across various domains, including computer vision, classical machine learning, and reinforcement learning. Working with modern language technologies sparked a particular fascination—not just as a user, but as someone intrigued by their inner workings. This led me from core NLP concepts to attention mechanisms and transformer-based models. Motivated by their potential to extend human capability, I’m eager to deepen my understanding and contribute to meaningful research in this evolving field.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Arabic

Fluent

English

Advanced

French

Advanced

Work Experience

Mitacs Globalink Research Internship & Graduation Project at University of New Brunswick

May 1, 2025 - Present

Data Scraping: Scraped UNB website for BCS curriculum constraints and course data using Python (BeautifulSoup) to enforce requirements (e.g., 133 credit hours, mandatory courses). Graph Database: Built Neo4j graph database to model course relationships (prerequisites, co-requisites, semester) for valid plan generation. Vector Database: Used Pinecone with embedding-based representations to store curriculum constraints and course data for semantic retrieval. Hybrid RAG with LLM: Designed a hybrid Retrieval-Augmented Generation (RAG) system using LangChain, combining structured (Neo4j) and unstructured (Pinecone) data. Applied prompt engineering techniques to deliver personalized, natural language responses to student queries.

Machine Learning Intern at Proxym-IT

July 1, 2024 - August 1, 2024

Instance Segmentation: Built and fine-tuned Mask R-CNN models to identify car parts and damaged areas from images. Damage Identification: Implemented an adaptive Intersection over Union filtering system, enabling the model to correctly identify 94% of damage instances in the test dataset. Damage Classification: Trained and compared multiple CNN architectures (VGG16, ResNet50, and MobileNet) to classify damage severity and type; selected best-performing model based on validation accuracy. Cost Estimation: Trained and optimized a Random Forest model for regression, to estimate repair costs based on detected damage details. System Implementation: Deployed the full pipeline with Flask for real-time inference and automated reporting.

Intern at Finspot

July 1, 2023 - August 1, 2023

LLM-Driven Financial Data Analysis Platform: Contributed to building a platform leveraging large language models (LLMs) for advanced financial insights. Platform Setup: Handled platform setup and implemented secure authentication mechanisms.