Mar 2022 – Present · 4 yrs · Hyderabad, Telangana, India

Aug 2020 – Mar 2022 · 1 yr 7 mos · Hyderabad, Telangana, India

• Indian Railways Accounts Service
• Underwent training and acquired knowledge about working of Indian railways
• Gained insights into engineering and financial components
• Field visits for better leadership skills

Jul 2016 – Jul 2019 · 3 yrs · Bangalore

•  Internet of Things
•  Computer security (SSL) in Juniper's SRX devices.
•  Machine Learning techniques in various dimensions to solve contemporary security problems.

May 2015 – Jul 2015 · 2 mos · Bengaluru, Karnataka, India

• Key Work :
•  Used deep learning and various Machine Learning Techniques to classify objects in run-time. Developed an android application to demonstrate the AlexNet based model which could identify 1000 classes of objects using camera in less than 1 second.
•  Developed a deep-learning based concatenated model with over 400 layers to identify face fiducial points with accuracy amounting to more than 90 percent.
•  Added 4 new layers to Caffe framework for CPU as well as GPU which could be used by other developers.
•  Trained the neural networks on CPU to identify facial boundaries; 100% accuracy achieved.
•  Created and implemented new networks on GPU to reduce Euclidean loss by 25%.
•  Achieved 30% increase in accuracy compared to state of art OpenCV classifier.
• Impact:
•  Caffe framework is now capable of regression, not just limited to traditional classification.

May 2014 – Jul 2014 · 2 mos · IIT Kanpur

•  Developed a fully functioning autonomous quad rotor that can provide information to the ground station.
•  Assembled a high-speed electronics chipset on-board to perform real-time camera based localization.
•  Designed controller for hovering quadrotor and coded Arduino to obtain data from IMU and PTAM.
•  Installed GPS and wrote Arduino codes to parse data coming from GPS after viewing the data on miniGPS tool.

Aug 2013 – Jul 2014 · 11 mos · Hall 10