Shashank

▪ Hatchery: ▪ Developed a multi-threaded Python software with Docker and Balena running on a Raspberry Pi to control the feeding of 6,000,000 oysters. ▪ Code involved control of various sensors (fluorometers and valves) through a LCD screen to achieve an automated shellfish farming facility. ▪ Integrated Slack, implemented SFTP for remote monitoring of the farming vessel and graphing results to an online dashboard through ChartJS. ▪ Dashboard: ▪ Worked with JavaScript, React and PSQL to create forms to help move shellfish from one bin to multiple others as well as maintain the genetic spawn ID of each shellfish when movement takes place. ▪ Grading Vessel: ▪ Created an automated cleaning system, re-designed the automated grading system along with complimentary UIs for both using React and JavaScript that works with conveyors, sprayers, brushes and a gantry system for a shellfish grading vessel (boat). ▪ Both systems are now in production and can clean and grade 20 bins in 4 hours. ▪ Other: ▪ Created an oyster inventory tracking system for 4 million+ shellfish through NodeJS and PSQL that is updated locally as well as synced to the cloud on a periodic basis. Implemented CRUD operations for manual editing of the inventory. ▪ Created a Size Distribution system using JavaScript and REST APIs that tracks height and width of shellfish and displays them on scatter plots and bar graphs. Implemented rotated bounding boxes to get height and width through Machine Vision and then processing of data. ▪ Wrote extensive unit tests using Jest and PyTest along with Integration tests run via CircleCI. Increased Coveralls coverage by 15% on 4 repos.