About Me

I am a software engineer focused on building enterprise-grade applications, distributed systems, and Agentic AI tools. Currently working in the physical security sector, I specialize in full-stack development using LangGraph, Python, Ruby on Rails, and React.

I have hands-on experience across the entire software lifecycle. From implementing Hybrid RAG strategies using vector databases and engineering real-time streaming architectures, to owning CI/CD pipelines and container orchestration with Docker and Podman. I thrive on translating complex requirements into robust, scalable implementations.

Skills & Technologies

Languages

Python

Ruby

Bash

JavaScript

TypeScript

Java

Frontend

React

Next.js

HTML5

CSS3

Sass

Semantic UI

TailwindCSS

Backend & AI

FastAPI

Rails

LangChain/LangGraph

Qdrant

Redis

PostgreSQL

Node.js

Express

MongoDB

MySQL

DevOps & Tools

Docker

Podman

Nginx

Yocto Project

Git

GitHub Actions

Bamboo

AWS

Terraform

Pytest

Selenium

Experience

Professional Experience

Software Engineer

Avigilon, Motorola Solutions Company

Jun 2025 - Present

Architect and build an enterprise Agentic AI feature using LangGraph, FastAPI, MCP SDK, and vector DB, enabling operators to interact and search physical security systems via natural language.
Implemented per-user MCP Server authorization with dynamic access filtering ensuring proper RBAC for AI operations in security platform.
Developed a Hybrid RAG strategy combining vector embeddings and sparse retrieval techniques for improved document retrieval accuracy in queries.
Designed real-time streaming systems using Redis pub/sub and WebSocket connections for live updates between Python services and React interfaces.
Managed CI/CD pipelines and container orchestration with Podman and systemd for embedded Linux appliances.
Established engineering foundations including containerized development environments, testing infrastructure, LLM observability, and modern Python tooling.

LangGraphPythonRuby on RailsQdrantRedisNginxDockerPodmanYocto ProjectFastAPI

Software Automation Engineer Intern

Avigilon, Motorola Solutions Company

May 2024 - Aug 2024

Maintained and expanded a pytest-based automation framework, migrating legacy test suites and writing new end-to-end tests covering UI flows, REST APIs, and hardware integration.
Engineered a concise Python tool integrated into the CI pipeline for automated checks.

PythonpytestCI/CDAutomation

Software Engineer Intern

Avigilon, Motorola Solutions Company

Jan 2023 - Aug 2023

Built a full-stack Notes feature enabling operators to document and track observations on identities, hardware devices, and alarms, with audit trails and role-based access, for an enterprise physical security platform.
Standardized search functionality across 6+ entity pages by designing a reusable React Search Component, eliminating pagination and rendering bottlenecks in legacy Rails views.
Contributed to release validation for 3 major releases, executing assigned test cases, and resolving blocking defects across Rails, React, and C++ before engineering release.

ReactRailsC++Full-Stack Development

Software Development Engineer Intern

Optum

May 2022 - Dec 2022

Resolved bugs for Magnetic Resonance Imaging technology software using C# and .NET.
Modernized .NET web application to support Chromium-based browsers, removing dependency on deprecated Internet Explorer.
Developed an automated release-packaging utility that parsed change manifests from ticket numbers to dynamically identify and bundle required binaries, replacing a manual, file-by-file selection process.

Angular.NETC#Healthcare IT

Additional Relevant Experience

AI Systems Developer

TELUS – Capstone Project

Sep 2024 – Apr 2025

Collaborated with TELUS as part of a Capstone project to design a real-time AI-driven system for emergency response.
Developed FastAPI backend to process audio, extract embeddings, and perform ML inference for 911 call prioritization.
Built a Next.js front end and implemented WebSocket integration to support live audio classification.
Containerized the system with Docker and deployed it on specialized AI hardware.
Integrated OpenAI API for audio transcription and PyTorch AI-pipeline for audio classification.

FastAPINext.jsDockerWebSocketsOpenAI APIPyTorchMachine Learning

Web Developer (Part-time)

UBC Applied Science Dean's Office

Sep 2021 - April 2025

Led maintenance and optimization of UBC Applied Science websites, ensuring seamless performance and usability.
Delivered custom websites for research groups and engineering teams, aligning with stakeholder requirements.
Built Sass design system to ensure consistent and modern UI/UX across UBC Engineering websites.
Improved SEO from 75% to 98% through strategic improvements.

PHPJavascriptHTML5CSSTailwindCSSSassDrupalSEO

Teaching Assistant - CPEN 221 Software Construction

UBC Computer Engineering Department

Sep - Dec 2023

Led weekly lab sessions for 40+ students, clarifying software construction concepts and addressing technical questions.
Provided one-on-one support during office hours.
Graded assignments, ensuring code quality and best practices.

JavaObjected Oriented ProgrammingTeachingSoftware Construction

Front-End Developer

UBC Launch Pad (Student Design Team)

Sep 2020 - Sep 2021

Developed an application to streamline the recruitment process for student clubs.
Responsible for implementing the views of the application using React.
Conducted peer code reviews to guarantee best practices and functionality.

TypeScriptReactBulma