I'm a passionate software engineer with expertise in data engineering and AI. I have a Bachelor's in Computer Science and have worked on multiple projects involving automation, cloud computing, and machine learning.
Working on data engineering projects and contributing to insights using machine learning models on GCP.
Worked on Avionics Test-bed Automation, LDRA Analysis, and hands-on experience with embedded boards.
Trained and optimized machine learning models on GCP for the Natality Dataset. Set up VPC networks for secure data handling and utilized BigQuery for data insights and ML models.
Led On-Board Computer (OBC) loop Test-bed automation, designing and implementing advanced test automation systems using Python. Ensured optimal performance and reliability in simulated operational environments.
Developed a Convolutional Neural Network system for enhancing low-light images, improving object detection and scene understanding, while preserving original image content.
Built a Flask application to accurately predict the potability of a given sample of water with 98% accuracy using Artificial Neural Networks (ANN).
Designed a system to provide recommendations on the best crops to cultivate based on soil type, temperature, humidity, and rainfall data using machine learning techniques.
Developed a network-attached storage system using Raspberry Pi and Open Media Vault (OMV), enabling wireless file transfers across a home network.
Amazon Web Services (AWS)
NPTEL
NPTEL
NPTEL
NPTEL
YouTube Channel: Delta Edusmith (1.43K Subscribers)
KMIT's Drama Club ‘Abhinaya’
Traces of Lenses Photography Club
Blogger.com