About Me
Deep Learning Scientist/ Engineer with over 5+ years of experience in Machine learning across multiple
domains including Computer vision, Signal processing, eHealth, and Sensor Fusion. Experienced in
building deep learning models for p...
Skills
Programming Language
Data & Analytics
Web Development
Development Tools
Software Engineering
Others
Mobile Apps
Database
Positions
Portfolio Projects
Company
Image classification on segmented images
Role
Machine Learning Engineer
Description
This project involved the implementation of computer vision on filtered images for state prediction. Image classification performed on segmented images. The aim was to understand the scene and environment surrounding the car.
A new network based on modern CNN models was developed which could improve accuracy and reduce the false-positive rate.
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Tools
ROS Git C++ Python TensorflowCompany
Temporal donoising and decision making under uncertainty
Description
In this project consolidation of different observations was performed by using Using Bayesian Networks and HMM. To make a decision under uncertainty, a general form of probability was used which is called Evidence theory.
To further improve the temporal denoising, a Hidden Markov Model was implemented Implementing Hidden Markov Model for Evidence Theory was also implemented.
The result was comparable to other machine learning approaches.
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Machine Learning C++Company
Recommendation of Medical Condition over the Web
Role
Machine Learning Engineer
Description
In this project medical conditions were predicted and recommended using a web server. The most updated data/measures were used for postural stability predictions. These data were used to run inferences on trained models. The predictive models were utilized in Docker Containers in a web server that runs over Flask API.
A Kubernetes platform also employed for server management.
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Machine Learning Python Data ScienceTools
Docker Kubernetes Flask