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Projects

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Predict Vehicle Collisions

Deep Learning - CNNs & LSTMs

Pridicting if the vehicle is in a collision course using a series of images moments before it happens built in TensorFlow.

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Self Oranizing Robots

Swarm Robotics

A mini robotic system using OpenCV, Contour Segmentation, Clustering and Swarm Behavior Planning in Python.

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Double DQNs for OpenAI Gym

Reinforcement Learning - Double Q learning

An agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlow.

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Blogs

Building intelligent agents for OpenAI gym explained using the concepts from the movie TENET.

Read here

Predicting if the vehicle is in a collision course using a series of images moments before it happens built in TensorFlow.

Read here

An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (Without using Dogs Vs Cats, From getting images from google to saving our trained model for reuse.)

Read here

An attempt to understand Reinforcement Learning, the first step towards general AI with the help of an Italian Plumber.

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Double Q learning agent
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Vehicle collision prediction results

Skills

Programming

Python, Git, OOPs, Data Structures, Algorithms, SQL, Web services, Backend Development, NumPy, TensorFlow, Keras, PyTorch, Pandas, OpenGL, Matplotlib, Flask, PostgreSQL.

Machine Learning

Supervised and Unsupervised Learning, Regression, Clustering, K-NN, Reinforcement Learning, Deep Reinforcement/Q Learning, Support Vector Machines, Data and Feature Engineering.

Deep Learning

Convolutional Neural Networks, Deep Learning Architectures, Object Detection, Estimation, RNNs, LSTMs, GANs, U-nets, Autoencoders, Transfer Learning, Encoder-Decoder networks, NMT, Seq2Seq, Attention, GPU Training and computation.

Computer Vision

OpenCV, Image Processing and Understanding, Morphologies, Contours, SIFT & SURF, Feature Detection, Object Detection, Segmentation, Open3D, Photogrammetry, Point Clouds, Stereo Cameras (Real Sense, Kinect), 3D reconstruction.

Robotics

Swarm Intelligence, Mobile Robotics, Path Planning, Server-Client communication, Computer Vision, ROS, Space Mapping, IoT, MQTT, Lane Following bots, Worked with established Controllers, Sensors and Drivers.

Embedded Hardware

Arduino Uno & Mega, NodeMCU, ESP8266, Raspberry Pi, Sensors, Relays, Drivers, Transistors, Power Circuits, Soldering, 3D Modelling & Printing, RFID, IMU, Servo & Brushless Motors, Circuit Design and Fabrication.