Senior Software Engineer / Python / Backend / Cloud / Applied AI

Senior Engineer building reliable backend systems and applied AI products.

I own ambiguous technical problems from discovery through production. My work combines hands-on Python engineering, system design, cloud delivery, and the coordination needed to turn uncertain ideas into measurable outcomes.

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/usr/local/bin/albert
senior software engineerALBERT LI

$python build --vision

calibration 40h→20h | 77% fewer misses | 4 platforms

$aws ship --backend

computer vision · REST APIs · cloud delivery

$pytest run --platform

10%→34% coverage | modular architecture | CI reliability

Case studies

Engineering outcomes, explained clearly.

Selected stories from computer vision, automation, reliability, and technical leadership.

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Applied AI · Automation

Automated Store Calibration

A Python calibration platform that turned a complex, engineer-led computer-vision setup into a repeatable workflow.

Problem
Every new drive-through store required engineers to interpret camera tracks, place markers, and tune lane geometry by hand. The process was slow, fragile across store layouts, and pulled senior engineers into recurring setup work.
Outcome
Reduced initial store setup effort by 50%, from 40 to 20 engineer-hours per store, while creating a maintainable foundation for handling new layouts and calibration edge cases.
PythonOpenCVYOLOscikit-learn
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Computer Vision · Reliability

Vehicle Tracking Reliability

Detector and tracking improvements for a multi-camera drive-through platform operating on noisy real-world video.

Problem
Missed detections disrupted vehicle histories across entry, merge, and exit zones. The resulting gaps reduced the accuracy of downstream timing and analytics and were difficult to reproduce consistently.
Outcome
Reduced missed vehicle detections by approximately 77%, from 22 to 5 per 100 vehicles, improving the stability of downstream tracking and operational metrics.
PythonYOLOv8/11OpenCVPyTorch
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Engineering Effectiveness

Testing & CI Modernization

A unified pytest-based test strategy that made a legacy computer-vision codebase safer to change.

Problem
The core service had fragmented test structures, limited automation, and only 10% coverage. Engineers had little confidence that changes to tracking, calibration, or configuration behavior would remain isolated.
Outcome
Increased automated test coverage from 10% to 34% and created a stronger release signal for changes across the core Python platform.
PythonpytestJenkinsDocker
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Technical Leadership

Modular Python Architecture

A coordinated refactor that removed duplicated logic and separated proprietary algorithms from the product shell.

Problem
Core behavior had grown across duplicated paths, making changes risky and obscuring the boundary around proprietary components needed for a patent application.
Outcome
Improved maintainability and modularity of the core Python module while producing a cleaner technical boundary for patent-related work.
PythonArchitectureCode ReviewMentoring
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Capabilities

Skills grouped by the outcomes they enable.

The stack matters, but the real signal is how the pieces come together to solve product and operational problems.

Backend Systems

Production services, APIs, background processing, and pragmatic system design.

PythonDjangoFastAPIFlaskCeleryREST

Applied AI

Computer-vision pipelines and AI-assisted workflows tied to operational outcomes.

OpenCVYOLOPyTorchOpenVINOPandasNumPy

Cloud & Delivery

Reliable delivery and operation across AWS, containers, and Linux environments.

AWSDockerLinuxJenkinsGitHub ActionsAnsible

Data & Messaging

Data stores and asynchronous foundations for SaaS and backend products.

PostgreSQLMySQLMongoDBRedisRabbitMQSQS

Technical Leadership

Turning ambiguous work into a plan, aligning people, and raising engineering quality.

System DesignMentoringArchitectureR&DCode ReviewHiring

About

Hands-on ownership, without losing the team.

I do my best work where the problem is not fully defined, the technical choices matter, and collaboration creates a multiplier effect. I like staying close to the code while helping the team make better decisions and move with confidence.

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