Abhignana Mihir K Email & Phone Number

Sunnyvale, Ca, Us

San Francisco, California, Us

San Francisco, California, Us

San Francisco, California, Us

Sunnyvale, California, Us

Worked for IC validator, Graph color algorithm and applied Machine Learning techniques for graph coloring.Improved the efficiency by 2 times by refining the heuristic in detecting power grids on IC’s using Machine Learning. Improved the densities of each color in graph coloring which is a multi-patterning technique. Reduced the run time by 30% in Design rule checks by clustering the rules and predicting the fault prone rule in each cluster.

Walldorf, Bw, De

• Worked on Big Data hub which creates a big data pipeline for moving data instantly.• Responsibilities includes creating and uploading data tables into VORA using JDBC, Profiling and Integration testing.• Performance handling of multiple users connecting to Datahub using osgi framework.• Supporting data preview for raw data transferred from hdfs to datahub using Vflow flowgraph

Mountain View, Ca, Us

• Developed a Socket Tester and Echo Server for checking the Sentry logs which is similar to Samsung Knox.• Tested and Automated the Android End to End Native Tunnel using Next Gen Framework.• Automation includes App installation, giving username password, registering the device in Core site, sending certificates to device, enabling tunnel, dumping Socket tester app and generating UDP traffic and checking sentry logs

• Responsibilities include guiding students through discussions, evaluating and grading assignments for the course

Rourkela, Odisha, In

A fascinating issue in a digital forensic investigation is that given a digital video, would it be conceivable to recognize the camera model which was utilized to get the video. In the paper we take a simplified form of this issue by attempting to recognize recordings caught by a predetermined number of camera models. We propose various features which could be utilized by a classifier to distinguish the source camera of a video. We likewise give exploratory results and show sensible exactness in recognizing video for three distinctive camera models utilizing the proposed features. We have additionally attempted to improvise the time complexity for feature extraction using parallel processing.

Sangareddy, Telangana, In

Implemented a software defined radio using GNU companion software. Transmitted data from USRP to Telsob mote.

Master'S Degree, Computer Science

Bachelor'S Degree, Electrical, Electronics And Communications Engineering

12Th Class, Mathematics, Physics, Chemistry