Ph.D. Research Scholar · Hyderabad, India
I work at the meeting point of quantum computing and machine learning, studying how quantum methods can describe the structure of social networks. My days are spent automating enterprise operations at Dell Technologies.
I am a Ph.D. Research Scholar in Computer Science & Engineering at IIITDM Jabalpur, with five years of industry experience behind the academic work.
My research sits in quantum social network analysis, a young field that asks whether the mathematics of quantum systems can capture what classical graph theory struggles with: how influence propagates through a network, how communities form and dissolve, how links appear before we can see them coming. Alongside it I work on applied deep learning, where my published work has gone into environmental prediction: modelling microplastic pollution in marine environments, and forecasting national well-being from ensemble signals.
The industry half of my life is at Dell Technologies, where I am the subject matter expert for North America tax exemption operations. It is a different discipline entirely, and a useful one. High volume, zero tolerance for error, and it taught me to build automation people can actually rely on. I have also taught Python, C and data structures, designed lab curricula and written examinations, which remains the part of the work I enjoy most.
Deep Learning-Driven Insights into Microplastic Pollution in Marine Environments
A deep learning approach to characterising microplastic distribution across marine environments, turning fragmented observational data into a model that generalises across regions.
A Multi-Layered Model for Marine Pollution Prediction
A multi-layered perceptron architecture built for pollution prediction, extending the earlier work toward forecasting rather than description.
Happiness Ensemble Intelligence Network for National Well-Being Prediction
An ensemble model that predicts national well-being indicators from heterogeneous socioeconomic signals.
Oct 2021 — Present
Dell Technologies
May 2021 — Jun 2021
BYJU'S
Jan 2021 — Apr 2021
Dopy Pvt. Ltd.
Feb 2020 — Mar 2020
Cognitus Consulting IT Services Pvt. Ltd.
2025 — Present
IIITDM Jabalpur
Research area: quantum computing, quantum social network analysis and quantum machine learning.
2023 — 2025
Mahatma Gandhi Central University, Bihar
Specialisation: deep learning, artificial intelligence, computer vision, NLP and time series.
2016 — 2020
JNTUH, Hyderabad
IBM Quantum · Intermediate
Covers the algorithmic core of quantum computing: query and circuit models, phase estimation, and the algorithms that give quantum computation its advantage.
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IBM Quantum · Intermediate
Quantum approaches to learning problems: data encoding, variational circuits and quantum kernel methods. Directly adjacent to my doctoral work on quantum social network analysis.
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Dell Technologies · Proven Professional
Dell's Proven Professional certification in data engineering, covering the design and optimisation of data pipelines and storage for enterprise workloads. The formal counterpart to the automation work I do day to day.
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Dell Technologies · Proven Professional · 2026
Recognises work authoring and validating certification exams: item writing, psychometric standards and assessment design. It pairs closely with the question papers and evaluation rubrics I build for teaching.
Verify on CredlyA graph measures a structure that has already settled. Real networks never settle. Influence spreads, communities form and dissolve, ties appear before anyone can see them coming. Quantum mechanics is the mathematics we built for systems that hold many possibilities at once, and that is the wager my research makes: that it can describe not what a network is, but what it is about to become.
On quantum social network analysis
Open to research collaboration, doctoral discussion and speaking about quantum machine learning. Write to me. I answer everything.