Welcome to my workspace — where AI systems, game engines, and data-driven design come together.
I’m a Master’s student in Computer Science at Northeastern University (Vancouver) with a background in education and a growing focus on applied AI and systems engineering.
Before entering tech, I was a teacher — which taught me the value of clarity, iteration, and communication.
Since 2022, I’ve transitioned fully into software and AI engineering, building projects that bridge research and real-world implementation.
My current interests lie at the intersection of:
- 🧠 AI-powered systems — Retrieval-Augmented Generation (RAG), Reinforcement Learning, and intelligent interfaces
- 🎮 System-level development — modular C++/SDL3 engines, ECS architectures, and real-time rendering
- 📊 Optimization & data reasoning — using embeddings, geospatial features, and ML pipelines to drive decision-making
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🧠 OnCallGuide.ai
AI-powered emergency support system integrating RAG, multi-query expansion, and hybrid retrieval for high-precision decision assistance. -
🌐 Optimization Framework for Large-Scale Detection Nodes
Multi-objective RL framework that optimizes sensor deployment based on geospatial risk heatmaps and connectivity constraints. -
🎮 2D Game Engine (C++/SDL3)
Modular ECS architecture with custom event and rendering systems, serving as a sandbox for AI-driven gameplay prototyping.
Languages: C++, Python, Java, TypeScript, SQL
Frameworks & Tools: PyTorch, Scikit-learn, Gradio, SDL3, React, Docker, Git
Focus Areas: Reinforcement Learning, RAG Systems, Feature Engineering, Entity-Component-System Architecture
- 🎓 M.S. in Computer Science, Northeastern University, Vancouver (2024–2027)
- 💻 Web Development Diploma, BrainStation (2023)
- 🧪 B.Sc. in Chemistry, University of Alberta (2020)
- 🧑🏫 Former Teaching Assistant, BrainStation — mentored 60+ students in React and JavaScript, recognized for excellence in teaching
I’m passionate about building systems that learn, adapt, and inspire — from intelligent tools to interactive worlds.