0009-0005-3349-1162 About
I am a researcher who loves to understand how complex things work from the ground up. Instead of just treating artificial intelligence as a software tool, I use it to connect the dots between physics, biology, and math to solve real-world problems.
My thought process is straightforward: I do not like guessing or using "black-box" AI models where the inner workings are hidden. Whenever I face a hard problem—whether it involves rocket engines, electric generators, or biology—I break it down into its most basic parts. I use the Feynman technique to learn, meaning I strip away all the confusing jargon until I find the simple truth behind a concept. Only after I fully understand how a physical system actually works do I start building the algorithms to improve it.
I enjoy learning across many different fields. While many people focus on just one subject, my mind naturally looks for the connections between them. I can comfortably jump from studying aerospace engineering and quantum sensors to working on smart healthcare devices and agriculture. Because I take the time to deeply understand the basic rules of these different areas, I can apply advanced AI to all of them without getting overwhelmed by the complexity.
Ultimately, I do not just write code; I build solutions that interact with the physical world. Whether I am designing systems for space, creating medical devices, or predicting solar flares, I always look at the big picture. My goal is to push the boundaries of what AI and physics can achieve together.
Employment
Employment history is unavailable.
Education
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Amrita Vishwa Vidyapeetham University BTech2024 - 2028
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- KR-GT V18: A Hybrid Deep Learning Framework for Gene Regulatory Network Inference Integrated with Murburn Senescence Modeling Save
- Uses of Plant-Based Biofilms Save
- Titan-Net: Physics-Informed Spatio-Temporal Graph Transformers for Prognostics Under Stochastic Maintenance Regimes Save
- Superelliptic Hull Form for Acoustic Stealth: A Kirchhoff B ackscattering and Hydrodynamic Analysis of a Rhombus-section Submarine with Lanceolate Bow Save
- Solar Flare Nowcasting Using Classical Kalman Filtering and Case-Based Reasoning: A Physics-First SXR Spectral-Ratio Approach Validated on Aditya-L1 SoLEXS Telemetry with Planned HEL1OS Integration Save
- RHIZO-NET: Root Health and Integrated Zonal Optimization Network via Edaphic Topology Save
- Plasma-Assisted Ignition in Cryogenic Rocket Engines, Part i: Thermodynamic Framework, System Architecture, and Activation Energy Reduction Save
- Phylogenetic Insights: Integrating Bioinformatics Tools and Computational Methods for Species Delimitation of Medicinal and Endangered Plants Save
- Nuclear-Electric Propulsion for Long-endurance Airborne Command Posts: The E-4C NEMESIS Flying Nuclear Bunker Concept Save
- NeuroVision: An Integrated Attention-Gated ResNet-34 and Real-Time Multi-Modal Radiomics Web Suite for Reliable Brain Tumor Diagnostics and Epistemic Uncertainty Interception Save