I am a physicist and data scientist specializing in Quantum Technologies and Machine Learning. Currently completing my Bachelor of Science at IIT Jodhpur, I build projects at the intersection of fundamental physics, quantum information science, and advanced AI.
Whether it is optimizing machine learning pipelines or simulating quantum error correction, I am passionate about tackling complex, data-heavy problems.
- Investigating Quantum Error Correction (surface codes) and Quantum Key Distribution (QKD).
- Applying deep learning and parameter-efficient fine-tuning (QLoRA) to language models.
- Exploring data analytics and AI engineering for high-impact applications.
- Languages: Python, C++
- AI/Machine Learning: Scikit-Learn, Pandas, NumPy, XGBoost, PyTorch, Hugging Face (NLP)
- Quantum: Qiskit, Pennylane, Stabilizer Formalisms, Tensor Networks (TTN)
- Core Skills: Data Analysis, Predictive Modeling, Fundamental Analysis
- Aerial Fiber Optic QKD Networks: Developing a stabilization system and deep learning digital twin for delay mitigation (Supervised by Dushyant Kumar).
- Surface-Code-Erasure-Threshold: Simulating and analyzing erasure thresholds for topological quantum error correction.
- Quantum Image Processing: Implementing quantum circuits for efficient state classification, image encoding, and manipulation.
- Quantum Radar for Battleship: Exploring quantum illumination and sensing concepts applied to strategic models.
- Llama 3.2 (1B) Metaphor Engine: Developed an NLP pipeline using QLoRA fine-tuning to interpret complex metaphors and intricate rap lyrics.
- High-Energy Particle Classification: Benchmarked machine learning models on the HIGGS dataset, isolating particle signatures and achieving a 0.82 AUC-ROC score.
- Hierarchical Feature Learning: Investigated Tree Tensor Network (TTN) circuits for efficient quantum state classification.
"Translating complex quantum mechanics and data into actionable, high-performance code."