May 2022 – Aug 2022 · 3 mos · Mainz, Rhineland-Palatinate, Germany · On-site

• KEYWORDS: Computational Physics - Time Series Data Analysis - Periodic Signatures - Lomb-Scargle Periodogram method - SciPy - AstroPy - Statistical analysis
• Summer Intern at the Budker group at Hemlholtz Institute mainz working on developing computational methods to find periodic signatures in the received dark matter data corresponding to frequencies of specific astronomical orbits.
• Developed an analysis based on Lomb-Scargle Periodogram (fourier-like power
• spectrum) for computing power spectrum of unevenly sampled time series
• data to characterize the periodic signatures.
• Also Studying real life datasets to probe into the dark matter existence by studying its possible signatures.
• Advisor : Dr. Dmitry Budker (Professor, UC Berkeley / Helmholtz Institute, JGU, Mainz)

Sep 2021 – Jan 2022 · 4 mos

• KEYWORDS : Qubit Detection, Quantum Circuits Programming, C, Python, Qiskit
• Programming Intern at the Quantum Computation Lab at IISc Bangalore
• Developed Codes to optimize the process of detection of Qubit and its properties
• Implemented Quantum Circuits and trivial Quantum algorithms using Qiskit
• Python library
• Advisor: Dr. Baladitya Suri (Assistant Professor, IAP dept)

Jun 2021 – Dec 2021 · 6 mos

• KEYWORDS : : Experimental Astronomy, Hardware programming (FPGA and Arduino), C, C++, Data analysis and visualisation, Python Astrophysics packages.
• Computational Research Intern at an Observational astronomy Research Group
• at Raman Research Institute
• Worked on Hardware programming involving FPGA Boards and Other computer systems responsible for data acquisition function of the satellite
• Built Scalable Data Acquisition pipelines with C
• Performed Data Analysis and Visualisation using custom built Astronomy
• and Statistical packages in Python
• Advisor : Dr. Mayuri S Rao (Research Associate, PRATUSH)

May 2020 – Jan 2021 · 8 mos

• KEYWORDS : : Computer complexity theory,Algorithmic design and analysis,geometric
• algorithms,approximation algorithms, Data Analysis, Python, SQL
• Worked as a Research Intern at CS group working on design and analysis of
• Approximation Algorithms
• Solved a NP-Hard Packing problem using using Geometric Approximation techniques and achieved an practically reasonable Run-time Bound for the algorithm
• Implemented the Algorithm showing excellent results on real life data
• Advisor : Dr. Rahul Saladi (Assistant Professor, CSA Dept)