SAGAR DEYAGOND

Senior Software Engineer

Becton, Dickinson and Company•  September 2020 - Present

● Associated with BD's Research and Development team which is responsible for the Architecture and Innovation of Medical Delivery Solutions (MDS). ● Currently my responsibility involves the development of algorithms which will add image processing capabilities and AI to the MDS .

Data Scientist

Visteon Technical and Services Center•  December 2018 - August 2020

1. Currently working on the software development of L3+ autonomous driving system. 2. Lead Developer for the Object Detections for RADAR Long Range and Short Range sensors. 3. Worked on the LiDAR CNN based Object and Free Space Detections for 360 degree LiDAR using Tensor-flow framework. 4. Involved in the development of Camera sensor based Lane Detection using Classical methods of Computer Vision algorithms. 5. Worked on the Object detection by CNN using Caffe and PyTorch frameworks for Camera sensors. 6. Implemented the logic to evaluate the Camera CNN based Lane detector by calculating metrics like F1 score, Precision and Recall. 7. Worked on the POC for the SLAM by building a small environment using Gazebo and ROS. TheApril Tags were used as Landmarks to localize the bots. 8. Also independently involved in R & D on applying of Image Processing, Deep learning technologies in ADAS. 9. Involved in developing PoCs whenever required for future requirements.

Software Engineer

L and T Technology Services•  May 2017 - November 2018

1. Worked on a Face Recognition application using OpenCV Haar Classifiers and Tensorflow Object detection API as part of POC for LTTS Technology Center ADAS team. 2. Developed a Facial node detection application and an algorithm was implemented using Delaunay triangulation mathematical concept for detected facial nodes' triangulation. 3. Drowsiness detection algorithm was developed using Facial nodes detected using OpenCV and dlib. 4. Developed an algorithm using MATLAB for RADAR Image processing to detect the position of person. 5. Worked on Tensor-flow libraries to create different classification models for machine learning application. 6. Implemented an algorithm to detect the tomato flower in the images for a client. 7. I was part of LTTS Technology Center for Compute Vision.

Software Engineer

Green Robot Machinery Pvt Ltd•  April 2016 - May 2017

1. Developed a website to receive data from the users to calibrate sensors using NodeJS, Mongo DB. 2. Successfully developed an image processing application to detect seat belt to monitor the wearing by driver when vehicle is on move. 3. Developed an IoT application for Face recognition so as to monitor driver tagged to a vehicle and send alert in case of mismatch. 4. Developed a prototype for a Fish Culture Pond which gives the sensor data and uploads the same to cloud.

PES Institute of Technology (PESIT), Bangalore

Electronics and Communicarion Engineering , BE•  September 2011 - June 2015

The CGPA of all 8 semester is 8.95 out of 10 Secured Distinction in all 8 semesters .

Karnataka Science College Dharwad

Computer Science, Pre University (11th and 12th )•  July 2009 - May 2011

7th Rank in the College for Science Stream with 91% aggregate and 98.67% in Physics , Chemistry and Mathematics also 97% in Physics , Chemistry and biology . Secured a State Rank of 265 in the Engineering Stream and 570 in Medical Stream in Karnataka Common Entrance Test 2011.