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- Toronto, Ontario, Canada
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Vancouver, British Columbia, Canada
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- Categories
- Artificial intelligence Cloud technologies Security (cybersecurity and IT security) Software development
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Achievements
Recent projects
AI-Powered Multi-Radar Sensor Fusion for In-Home Activity Recognition
Gold Sentinel aims to enhance in-home activity recognition by developing an AI model that effectively fuses data from multiple radar sensors. The challenge lies in integrating data from different radar sources to create a cohesive understanding of various in-home activities. This project will allow learners to apply their knowledge of AI and sensor technology to solve real-world problems. The goal is to create a model that accurately interprets and predicts household activities, improving the efficiency and reliability of smart home systems. By working on this project, learners will gain hands-on experience in AI model development, data fusion techniques, and sensor data analysis, all within a controlled and manageable scope.
AI Agents Developemnt and n8n Workflows
Develop 4 AI Agents by using Relevance AI, n8n workflows, Make.com automations, API connections between tools and one of the main LLMs (ChatGPT, Claude or Gemini) The agents should help with: Creating SOPs in Notion Pages or Google Docs Start an email sequence based on a trigger from a Notion Database webhook Send LinkedIn messages to existing contacts and withdraw unaccepted LinkedIn Connections Contact Data Enrichment from Notion databases, booking software and email marketing tool through APIs
Work experience
Junior System Developer (CO-OP)
MPAC
Pickering, Ontario, Canada
May 2024 - September 2025
Built an AI orchestration application to chain LLM calls with pre/post-processing, producing structured JSON outputs suitable for downstream documentation or databases.
Implemented API-first services (TypeScript, PostgreSQL) with webhooks, audit logs, and retry policies to support event-driven automations and agent workflows.
Developed front-end interfaces to configure agent steps, schedule runs, and reconcile state changes across systems; added safeguards for escalation to human review.
Optimized an LLM-powered IT support chatbot and HR chatbot through system-prompt tuning, follow-up prompts, and deflection triggers to enable smooth hand-offs to human agents.
Maintained AWS-based deployments with authentication (Cognito) and secure API exposure (API Gateway).
Full-Stack Software Developer Intern
Toronto Metropolitan University Rare Disease Club
Toronto, Ontario, Canada
May 2023 - February 2025
Optimized an internal LLM-powered support chatbot by refining system prompts, adding clear escalation paths to human agents, and improving content safeguards for user-facing responses.
Designed workflow automations to route common requests, log interactions, and capture analytics for response-time and quality tracking.
Developed scalable REST APIs (TypeScript + PostgreSQL) to back chat flows and admin consoles for configuring FAQs, triggers, and routing rules.
Built React-based admin tooling to monitor conversations and adjust knowledge sources, prompts, and fallbacks without code changes.
Hardened deployments on AWS with API Gateway and Cognito; established CI/CD pipelines and role-based access.
Personal projects
Unsupervised Learning Model: Toronto House Prices
May 2023 - Current
• Developed a machine learning project on Toronto housing prices using Kaggle data. Achieved over 90% accuracy in clustering through meticulous preprocessing, including K-Means and hierarchical algorithms.
• Utilized data visualization techniques, like scatter plots and an elbow diagram, to gain insights into the Toronto housing dataset. Demonstrated proficiency in interpreting clustering results, achieving optimal cluster determination.
• Evaluated K-Means and hierarchical clustering, comparing metrics like the Silhouette Score. Successfully drew meaningful conclusions, identifying location-based patterns in Toronto housing prices.
Discord Bot Application
May 2023 - Current
• Developed a Python-based Discord Bot with Google Calendar API integration for efficient retrieval and display of students' daily schedules, improving community event organization and communication.
• Established a high-performing Linux Virtual Machine on Microsoft Azure to host the Discord Bot, achieving an impressive 1% downtime for continuous and reliable operation.
• Seamlessly connected Google Calendar API and Discord Bots through detailed documentation analysis, enhancing functionality and user experience in the Discord Bot application.
Campus Mapper App Suite
May 2023 - Current
• Collaborated in crafting a robust Android application and website, providing an integrated solution for seamless campus navigation.
• Orchestrated the backend authentication service and implemented a secure database using Google Firebase and Java, ensuring a reliable and protected user sign-in experience.
• Contributed to the intuitive user interface of the Android app using XML and Android Studio, while also enhancing the website's user experience with an HTML-based dropdown menu.