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  • Buffalo, New York

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nkrgit/README.md

Hola👋, I'm Kiran👨‍💻

  • 🌱 I’m currently learning AI/VR/AR

  • 📫 How to reach me: nagakiranreddy2@gmail.com

  • ⚡ What's on my mind: VR/AR/Holograms

  • I am well versed with Python, C, Java, along with technology modules like :
    Numpy, Pandas, Seaborn, Matplotlib, Sklearn, OpenCV, NLTK, GeoPandas, Gym (i.e. Open AI RL) and Deep Learning frameworks: Tensorflow and Keras

  • Certifications
    -> AWS Elements of Data Science
    -> Data Analytics from Kaggle
    -> Deep Learning Specialization
    -> Machine Learning Specialization
    -> Computer Vision
    -> Sequence models (i.e., Natural Language Processing)

  • Hardware modules
    1. Arduino (Arduino IDE),
    2. Raspberry pi3 (Raspbian Stretch) etc

My work on Kaggle!!


1. Amazon book recommendations,
2. Netflix Recommendations,
3. Reinforcement Learning: SARSA on Grid world Env,
4. Reinforcement Learning Algorithms: Key features, pros and cons,
5. Data Cleaning & Neural Network Optimization

Below is my work I'm proud of!!

Pinned Loading

  1. Android-App-for-Text-Recognition Android-App-for-Text-Recognition Public

    Designed and developed an android app that can recognize and detect text from images using Vision API.

  2. Computer-Vision-and-Image-Processing Computer-Vision-and-Image-Processing Public

    Created a panorama image (i.e., by stitching) from two separate images and developed filters to detect edges along different directions in an image. Performed morphological operations to denoise an…

    Python 1 1

  3. Object-Detection-on-Raspberry-Pi3 Object-Detection-on-Raspberry-Pi3 Public

    Developed an object detection model trained on the COCO dataset, which can detect 90 different objects. Deployed the TensorFlow Lite version of the same model on Raspberry pi3.

  4. Home-Surveillance-System-using-Computer-Vision Home-Surveillance-System-using-Computer-Vision Public

    Built a Home Surveillance system using Computer Vision: Deep Convolution Neural Networks.

    Jupyter Notebook

  5. Fleet-Scheduling-using-MADDPG-Multi-Agent-RL Fleet-Scheduling-using-MADDPG-Multi-Agent-RL Public

    Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.

    Jupyter Notebook 11 2

  6. Solving-Lunar-Lander-Env-using-Actor-Critic Solving-Lunar-Lander-Env-using-Actor-Critic Public

    Developed TD Actor-Critic and solved Grid-world, Open AI 'Lunar Lander-v2' and 'Cartpole-v1' environments.

    Jupyter Notebook