Artificial Intelligence Engineer

2020.3 - 2023.9

Symend, Washington
Symend helps top enterprises deliver digital experiences that are hyper-personalized based on the science behind consumer behavior.

• Designed and implemented a product recommendation system using ChatGPT, a natural language processing (NLP) model, to generate personalized product recommendations for users based on their preferences and purchase history, resulting in increase in user engagement and satisfaction, with a measured improvement of 35%.
• Developed an online chatbot using the ChatGPT Turbo 3.5 model to improve customer engagement and supported on the company's social site, resulting in a 40% increase in user satisfaction.
• Trained PyTorch and Tensorflow models to enhance natural language processing (NLP) functionality, resulting in a 25% increase in accuracy of NLP models, and integrated the models with back-end systems using RESTful APIs, enabling seamless data exchange between systems and improving overall system efficiency by 30%.
• Developed a blog title generator using machine learning algorithms to generate engaging and SEO-friendly blog titles, resulting in a 40% increase in click-through rate and user engagement.
• Developed a web scraping engine using Python and BeautifulSoup to extract data from various websites and build a comprehensive dataset for the company
• Developed and deployed an advanced image generator using stable diffusion to produce high-quality images for various applications, resulting in improved user experience and increased revenue for clients.
• Analyzed data for a blockchain company, including transaction data, user behavior, and network performance, using statistical analysis and machine learning techniques, resulting in insights and recommendations for improving the blockchain network's efficiency and scalability

ML Engineer

2017.10 - 2020.3

Appnovation, Vancouver, BC
Appnovation is a global Digital Solutions and Managed Services provider, delivering strategy, app development and enterprise integrations.

• Led the development of an automatic web design API using machine learning algorithms, collaborating with cross-functional teams to identify opportunities for machine learning to improve the efficiency of the design process. The API generated custom website layouts based on user preferences, resulting in a 30% increase in user engagement and satisfaction.
• Developed a photo editing API using GAN based deep learning algorithm to enhance image quality, remove unwanted objects, and adjust lighting and color balance, resulting in a 4.8 MOS.
• Collaborated with cross-functional teams to lead the migration of machine learning models and applications to a cloud platform, developing a comprehensive migration plan to mitigate potential risks and ensure minimal disruption to the machine learning process. The migration resulted in a 40% reduction in infrastructure costs and a 30% increase in scalability and flexibility.
• Proactively maintained and updated migrated models and applications on the cloud platform, continuously monitoring performance and making necessary adjustments, resulting in a 20% increase in model and application performance
• Developed a gait recognition API using machine learning algorithms to identify individuals based on their unique walking patterns, resulting in a 90% accuracy rate and improved security measures for the video surveillance system
• Designed and implemented a trading bot using RL technologies to analyze market trends and make informed trades, resulting in a 25% increase in profitability for the trading firm and improved efficiency in the trading process.

Junior Machine Learning Engineer

2016.2 - 2017.10

Procurify, Vancouver, BC
Procurify is a cloud-based procurement software company that provides solutions to help businesses streamline their procurement processes.

• Developed and implemented machine learning algorithms and solutions for the company's procurement software platform, resulting in a 22% decrease in response time
• Conducted data analysis, model development, and testing to ensure successful implementation of ML solutions, resulting in a 90% accuracy rate for ML models
• Collaborated with the development team to identify areas where machine learning could be applied to improve platform functionality and user experience, resulting in a 12% increase in user satisfaction
• Developed a machine learning algorithm to predict when a purchase order would be approved or rejected, resulting in a 40% reduction in processing time
• Worked on developing a natural language processing (NLP) algorithm to extract key information from invoices, improving accuracy and speed of invoice processing by 14%
• Collaborated with the data science team to develop new trading analysis models and improve existing ones, resulting in a 15% increase in model accuracy
• Developed skills in machine learning, data analysis, and working in a fast-paced, dynamic team environment

British Columbia Institute of Technology

2012.4 - 2016.2

Bachelor's Degree in Computer Science