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Hi there 👋

I am a data and machine learning engineer, whose professional areas of focus/interest areas include predictive analytics, computer vision for industrial applications and security, Kubernetes, embedded devices and IoT. My personal/hobbyist/maker interests include AgriTech, climate sensors, custom pc mods and home automation. My repos are a mixture of things I am building for professional development/to exhibit my skills and projects related to my personal interests. Most of the things I am currently building are either dockerized micro-services targeted for deployment on a mixed (amd64/x86 and arm64) Kubernetes cluster, and/or are destined for home-brewed/DIY IoT devices built around either a single board computer like the Raspberry Pi or a microcontroller like the ESP32. While my primary languages are Python and R, I also have experience building micro-services with Node.js and have a more than passing familiarity with C++ and Java.

  • 📫 Feel free to reach out to/follow me on LinkedIn, I'm interested in discussing full time, contract, freelance and collaboration opportunities. LinkedIn

  • 👯 I’m looking to collaborate on: data or machine learning related open-source projects, and hardware projects using Raspberry Pi single board computers (or similar) and microcontrollers like the ESP32 and Raspberry Pi Pico.

Markham Lee's Projects

akri icon akri

A Kubernetes Resource Interface for the Edge

bokeh icon bokeh

Interactive Web Plotting for Python

computer-vision-demo-reel icon computer-vision-demo-reel

Computer vision demos related to classification, object detection and segmentation for commercial and industrial use cases.

deepsparse icon deepsparse

Sparsity-aware deep learning inference runtime for CPUs

edgeyolo icon edgeyolo

an edge-real-time anchor-free object detector with decent performance

facenet-pytorch icon facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

facial-recognition-facenet-pytorch icon facial-recognition-facenet-pytorch

Docker and Flask based API layer + data ingestion pipeline for the Facenet-PyTorch facial recognition library. I.e. simple ML deployment for matching pairs of photos

finnhub-python icon finnhub-python

Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api

furiko icon furiko

Kubernetes cron and batch job platform

hardwaremonitoring icon hardwaremonitoring

PC Gaming Sensor Panel & General Hardware monitoring for Linux (x86 and ARM64) and Windows via Libre Hardware Monitor, psutil, gputil and NVIDIA smi-queries for display on a Grafana dashboard. Also includes additional functionality for monitoring PC case temperatures via DIY IoT temperature sensors and a Raspbery Pi

internet-and-iot-data-platform icon internet-and-iot-data-platform

Using Airflow, Grafana, InfluxDB, Node-RED & Postgres to bring together useful information from a variety of sources, e.g., finance, weather, task management and IoT devices

k3s-ansible icon k3s-ansible

The easiest way to bootstrap a self-hosted High Availability Kubernetes cluster. A fully automated HA k3s etcd install with kube-vip, MetalLB, and more

nba_api icon nba_api

An API Client package to access the APIs for NBA.com

ncnn icon ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

pfsense-dashboard icon pfsense-dashboard

A functional and useful dashboard for pfSense that utilizes influxdb, grafana and telegraf

pyroon icon pyroon

python library to interface with the Roon API

python-kasa icon python-kasa

🏠🤖 Python API for TP-Link Kasa Smarthome products

raspi-poe-mon icon raspi-poe-mon

A controller for the display and fan of the Raspi PoE HAT (Type B)

rknn-cpp-multithreading icon rknn-cpp-multithreading

A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

rknn-multi-threaded icon rknn-multi-threaded

A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。

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