i'm a 2nd year computer engineering student at the University of Toronto, currently working as a Machine Learning Software Engineer at UTMIST, where i engineer automated pipelines and fine-tune transformer models

i’m also a software developer at utesca, building crowd simulation architectures in c# and unity, and a firmware developer at NeurotechUofT, working on data collection for bci interactions. i love building systems that bridge the gap between hardware, ai, and full-stack web apps.

Languages: Python, Java, C, C++, C#, JavaScript, TypeScript, SQL, HTML/CSS Frameworks: React, Next.js, FastAPI, Flask, PyTorch, YOLOv8, TailwindCSS Developer Tools: Docker, Git, Linux, Azure, Google Cloud Platform (GCP), Unity, AI/ML: LLMs, RAG, Prompt Engineering, Pinecone, OpenCV, LoRA Adapters

Vibe-Shop | React, OpenAI CLIP, YOLOv8, FastAPI, Pinecone

A multi-modal search interface enabling real-time product discovery via text and image.

• Containerized Docker backend and an ETL pipeline that improved search relevance by 35%.

Threadlock | Next.js, FastAPI, Gemini API, PostgreSQL, GCP, Jira, Slack API

A GenAI dashboard that visualizes agent activity and automates Jira ticket creation from Slack chats.

• Implemented RAG workflows to transform unstructured data into structured audit logs.

Self Driving Car | JavaScript, HTML, CSS

A neural network simulation implemented entirely from scratch without external libraries.

• Built a feedforward neural network to autonomously drive a car through a course, visualizing the network's decision-making in real-time.

Internify | React, Supabase, Lovable, Gemini API

A Gemini wrapper application built to optimize and streamline the internship search process.

Software Developer UTESCA | Toronto, ON | Nov 2025 – Present

• Leading the SDLC for a crowd simulation module, translating requirements into scalable C# architecture in Unity[cite: 13].
• Visualizing simulation outputs in Power BI to provide actionable capacity metrics[cite: 14].

Machine Learning Software Engineer UTMIST | Toronto, ON | Sept 2025 – Present

• Fine-tuning PyTorch transformer models using LoRA adapters, boosting F1-scores by 15%.
• Containerizing Flask/Gradio interfaces with Docker to eliminate environment compatibility issues.

Firmware Developer NeurotechUofT | Toronto, ON | Sept 2025 – Present

• Developing Python code to collect and clean IMU/flex sensor data at 200 Hz on Raspberry Pi.
• Deployed an intent classification model achieving 90% accuracy on raw sensor data.

University of Toronto

• Bachelor of Applied Science in Computer Engineering, Minor in AI Engineering
• Sept 2024 – Apr 2028 | Toronto, ON

I lift heavy weights