Masters in Quantum Computing [IISc, 2022-24]; BS-MS Physics [IIT Kanpur, 2015-20].
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IISc Bengaluru
Data Scientist
June 18, 2026 – Present
Hybrid-Quantum-claasical-SNN
November 5, 2023 – December 11, 2025
During my internship at TATA Elxsi, I worked on spiking neural network for neuromorphic object detection. I implemented a classical SNN on N-CARS dataset. I extended the work for a hybrid Quantum-classical SNN to see how useful Quantum VQE could be for object detection with noise augemented Neuromorphic daatset
View ProjectQuantum-algorithm-breaking-FX_construction_cryptography
October 31, 2023 – October 31, 2023
Grover and simon algorithms to break FX-constuction in classical cryptography. This is my paper review project in course E0-213_Post_Qauntum-cryptography.
View ProjectQuantum_Tech_Project_M_Tech_IISc
October 12, 2023 – November 5, 2025
This repository contains my current undergoing research works in Quantum technology. My primary interest is to know "WHY" and "WHERE" Quantum-ness can be used as a resource in computation.
View ProjectE0-225_Design_and_Analysis_of_Algorithms
September 10, 2023 – Present
This is my personal repository for E0225:Design and Analysis of Algorithms. It is a foundational course to build algorithmic thinking at Computer Science department, IISc Bengaluru.
View ProjectTensor_Network_Codes
April 22, 2023 – August 20, 2023
As a part of Quantum error correction review project, we explored tensor network codes (TNC). TNC has diverse nad promising use in quantum error correcting codes. It is powerful tools to design larger stabilizer codes, estimating code distance and maximum likelihood decoding.
View ProjectGradient_Descent
March 18, 2023 – March 19, 2023
As part of Optimization techniques for ML, I implemented gradient descent technique for 'Least sqaure function' as our objective function. I have supplement it with initial data visualization via correlation matrix and pairplots (via seaborn).
View ProjectQuantum_Algorithms_and_Qiskit
January 13, 2023 – April 14, 2023
This is my personal undertake to implement quantum algorithms in my own ways. I have taken necessary inspiration from Qiskit tutorials and other sources to improve on.
View ProjectTaxi-fair-Prediction-using-Machine-learning
December 19, 2022 – August 18, 2023
Machine learning is vital in predicting potential trend in a Big Data set. We worked with real data set of NYC taxi rides. We deployed various generic as well as advanced ML models such as Linear Regression, Random Forest, Light GBM and XGBoost.
View Projectsimulate_stochastic
July 27, 2020 – October 14, 2023
Brownian dynamics simulation is very insightful in the study of mechanical properties of complex fluids. In my MS project , I did such a simulation to study the properties of time dependent viscoelastic fluid, like special paints and Laponite suspensions. We modelled the system with an appropriate combination of springs and dampers.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards academic research and personal exploration in advanced topics like Quantum Computing and theoretical algorithms. While this demonstrates intellectual curiosity and a drive for learning, the direct alignment with a typical 'Data Scientist' role in an industry setting is not fully clear without more practical, business-oriented data science projects. The current experience at IISc Bengaluru as 'Data Scientist' is listed as current but with a future start date (2026), making it difficult to assess real-world cultural fit or practical application of skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong academic and research-oriented background, which may translate to good problem-solving and analytical skills. However, there is no information on collaboration, communication, or project management in a team setting.