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Software Engineer & ML Enthusiast | Product Manager
Bridging distributed infrastructure and high-performance machine learning. Building systems that are resilient at scale and optimized for latency.
MSCS (AI/ML)
Northeastern
About
I don't just write code; I design systems with specific constraints. Distributed consistency through Saga patterns and optimistic concurrency control. High-performance ML with quantization and shared-memory IPC to hit sub-50ms deadlines.
My work lives at the intersection of Backend Engineering, ML Infrastructure, and Quantitative Systems. Designing for failure with circuit breakers, backpressure, and idempotency. Systems that adapt, flow, and simply work.
Core Expertise
Capabilities
Tools I wield to build resilient, high-performance systems.
Languages
Backend & Systems
Infrastructure
AI & Math
Engineering Focus
Distributed Consistency
Saga, OCC
High-Performance ML
INT8, ONNX
Algorithmic Systems
Bandits, MC
Reliability
Circuit Breakers
Selected Work
Systems built with intention. Each project explores the balance between performance and elegance.
Distributed Systems
|Backend Engineer
Event-driven e-commerce backend using the Saga Pattern for cross-service transactions and Optimistic Concurrency Control (OCC), reducing deadlocks by ~40% in chaos engineering fault-injection tests.
Mobile
|Mobile Engineer
Cross-platform React Native SDK for biometric authentication and document capture. Native modules (Swift/Kotlin) expose Face ID/Touch ID and camera edge-detection to TypeScript, with NativeEventEmitter callbacks for real-time processing feedback.
ML & AI / Distributed Systems
|ML Systems Engineer
Deadline-aware inference router that selects model quantization levels (FP32/INT8) based on real-time CPU pressure, maintaining sub-50ms p99 latency for 500+ concurrent users via stress testing.
Quantitative / ML & AI
|Quant Dev & Systems Architect
Low-latency algorithmic trading engine using lock-free ring buffers to minimize tail latency. Optimized order routing using Contextual Bandits (LinUCB), validated via walk-forward backtests on historical market data.
ML & AI / Mobile
|Full Stack Engineer
Browser-based AR eyewear try-on. MediaPipe Face Mesh feeds dense landmarks into a linear algebra pose solver (orthonormal basis from eye/forehead vectors) and a Three.js pipeline that scales/positions GLB frames at 60 FPS. Containerized frontend+API for reproducible demos.
Distributed Systems
|Backend Engineer
Cost-aware task routing engine with pluggable schedulers, live dashboard, synthetic load generator, and comprehensive test coverage for distributed workload management.
Experience
Sep 2025 - Present
Vancouver, Canada
ICBC - Insurance Corporation of British Columbia
Mar 2025 - Jun 2025
Vancouver, Canada
Northeastern University - Mixed Reality Lab
Sep 2024 - Dec 2024
Vancouver, Canada
BC Cancer Foundation x Northeastern University
May 2024 - Aug 2024
Boston, MA
Thermo Fisher Scientific
Recognition
Built a Snapdragon-powered navigation assistant that fused YOLOv8 vision with on-device speech guidance, offloading inference to DSP/NPU accelerators to achieve ~40ms latency.
Designed a market-making strategy using Monte Carlo simulations and risk-aware inventory management, outperforming baseline agents in a volatile simulated exchange.