Worked as an R&D Engineer Trainee in Tempus Timing Signoff Analysis at Cadence Design Systems. Gained experience in STA, regression testing, and adding new test cases, with skills in analyzing results for pessimistic or optimistic outcomes after changes. Proficient in debugging crashes like segmentation faults using GDB, conducting code coverage analysis with GCov, and identifying data leaks using Asan. In C++, worked on file handling and determining the properties of specific nets, adhering to company coding guidelines. Managed version control using Perforce, leveraging various Perforce commands to efficiently handle code checkouts and make builds. Developed strong knowledge of Linux OS, including Red Hat Enterprise, and worked with scripting languages such as csh and Python.

During my full-time role as an offline project trainee, I contributed significantly to two sponsored projects: "Collaborative Neuro-Engineering Platform for Excellence in Innovation and Translational Research (RP03571G)" and "Maintaining the Indigenous 5G Test Bed (RP04226G)." Under the guidance of Prof. Prem K Kalra, HOD of CSE at IIT Delhi, I led a nine-member team in the preparation of a dataset involving the segmentation of frames from Endoscopic Endonasal Transphenoidal Surgery Videos. Using tools like LabelMe, we meticulously annotated multiple frames and evaluated the performance of a segmentation model (U-Net and modified architecture) with impressive test and train accuracies of 94% and 89%. To assess the model comprehensively, I calculated precision, recall, F1 score, and AUROC. Currently, I am actively engaged in the process of preparing a research paper to document and disseminate our findings.

Studied overhead equipment in Indian Railways and SCADA system.

Worked on the project Programmable Automatic Power Factor Controller. Overview of the Radar system in 509 Army base Workshop.