Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Languages
Timeline
Generic

Gaganjot Singh

Scarborough,ON

Summary

Motivated and detail-oriented Computer Engineering Technology student with hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI development. Skilled in Python, Java, and cloud technologies (AWS, Azure, GCP) with a strong foundation in NLP, deep learning, and AI-assisted development tools. Proven ability to apply AI/ML theories to real-world business use cases, develop reusable and testable code, and integrate solutions in cloud environments. Experienced in supporting AI projects at Niagara College, providing technical assistance in LLM APIs, model deployment, and data preprocessing. Adept at problem-solving, analytical thinking, and eager to contribute to next-generation AI solutions at TCS.

Overview

3
3
years of professional experience

Work History

AI Support

Niagara College
Niagara-on-the-Lake, ON
03.2023 - Current
  • Assisted in building AI/ML and NLP solutions using Python and cloud technologies.
  • Supported students and faculty in applying deep learning and machine learning models to real-world business problems.
  • Created reusable, testable Python modules for data preprocessing, model evaluation, and feature engineering.
  • Provided guidance on using Generative AI tools (e.g., Microsoft Copilot) and integrating LLM APIs for academic and industry projects.
  • Deployed trained models on AWS and Azure environments, ensuring scalability and reliability.
  • Contributed to workshops and labs on TensorFlow and PyTorch, enhancing hands-on adoption of AI frameworks.

Education

Diploma - Computer Programming

Niagara College
Toronto, ON
08-2024

Skills

  • Programming: Python, Java, C, C#
  • AI/ML & Generative AI: Machine Learning, Deep Learning, Natural Language Processing (NLP), TensorFlow, PyTorch, Generative AI tools (Microsoft Copilot, OpenAI APIs), Prompt Engineering
  • Cloud Platforms: AWS, Azure, GCP (model deployment, integration, and scaling)
  • Data Handling: Data Preprocessing, Feature Engineering, Model Evaluation (precision, recall, F1-score)
  • Software Development: Reusable & testable code design, Backend development, API integration
  • Tools & Systems: MySQL, Git, Cisco Packet Tracer, Arduino/ESP32, Jupyter Notebooks

Websites

Accomplishments

  • GPA 3.7/4.0 (Dean’s List)
  • Hands-on experience in Generative AI, ML libraries, and cloud integrations.

Languages

English
Native or Bilingual
Hindi
Native or Bilingual

Timeline

AI Support

Niagara College
03.2023 - Current

Diploma - Computer Programming

Niagara College
Gaganjot Singh