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Hi My name is Karandeep Singh Dhillon

Data Scientist and Full Stack Developer

"I am an experienced AI Engineer specializing in building scalable applications, adept at collaborating within teams."

  • 🌍  I'm based in Canada
  • 🖥️  See my portfolio at ItsKD
  • ✉️  You can contact me at [email protected]
  • 🚀  I'm currently working on Breast Cancer Detection
  • 🧠  I'm learning Algorithms
  • 🤝  I'm open to collaborating on Projects
  • ⚡  I Am Batman

Skills

CC++C#GitJavaJavaScriptPHPPythonrlangHTML5CSS3TailwindCSSNextJsNodeJSExpressMongoDBMySQLPostgreSQLFirebaseFlaskSupabaseTensorFlowRaspberry PiPyTorchMacOSLinuxDockerDigital OceanBlenderArduinoAmazon Web ServicesDjangoPhotoshopFigmaMetaMaskGoogle Cloud

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Karandeep Singh Dhillon's Projects

gaspumpocr icon gaspumpocr

Python and OpenCV scripts to detect digits on a Gas Pump

gps_lstm_filtering icon gps_lstm_filtering

Compare the performance of Kalman filters and LSTM networks for timeseries filtering of streaming GPS data

greedy-kart icon greedy-kart

Path Planning Using Deep Reinforcement Learning: Soft Actor–Critic

gyroaccekf icon gyroaccekf

Herein lies code for estimating the orientation of a gyroscope and accelerometer using a Kalman filter. An Arduino sends the sensor measurements through a serial port to a Python program that implements the filter.

hadesfcs icon hadesfcs

Complete flight control system designed from scratch. Hardware designed with KiCad.

ikalman icon ikalman

An iPhone-friendly Kalman filter written in C.

imutils icon imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

interfacegan icon interfacegan

[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing

kalman icon kalman

Some Python Implementations of the Kalman Filter

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

keras-yolo4 icon keras-yolo4

A Keras implementation of YOLOv4 (Tensorflow backend)

lcd-show icon lcd-show

3.2" 3.5" 5.0" 7.0" TFT LCD driver for the Raspberry PI and PI 2 and PI 3

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