Projects

A collection of my work in Quantum Computing, Machine Learning, and Signal Processing.

Ongoing Research

Hybrid Classical-Quantum Audio Watermarking

This project centers on embedding quantum watermarks into high-energy coefficients of audio signals to ensure secure and imperceptible data concealment within quantum networks. By converting these coefficients into quantum representations, the approach aims to maintain the integrity of quantum audio transmissions while minimizing any impact on the host signal.

Quantum Information Data Concealment Audio Signal Processing Intellectual Property

Completed Projects

Speech Segmentation, Word Discovery, & Automatic Phonetization of Indian Native Languages

Developed a system for speech segmentation, word discovery, and phoneme recognition tailored to native Indian languages, addressing linguistic diversity and under-representation in technology.

Explainable AI NLP Speech Processing

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Speech-Based Disease Predictor

Utilized the SpeechRecognition library to convert user speech into text for symptom extraction. Built a disease prediction model that compares extracted symptoms against a custom dataset of diseases using Pandas, ranking potential matches based on symptom overlap.

ASR NLP Transformers Pandas

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Image Denoiser

Developed a web application using Python, Flask, and OpenCV to enhance image quality by reducing noise and imperfections with about 65-70 percent accuracy.

Python Flask OpenCV

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Adaptive PCA-Based Portfolio Decomposition of Global Index Strategies

Developed a quantitative pipeline analyzing several global indices using Rolling PCA to extract latent factors and construct synthetic portfolios. Implemented adaptive allocation between PC1(market beta) and PC2 (defensive tilt) based on real-time variance signals, achieving a Sharpe ratio of 2.45 ( vs S&P ratio of 0.63) with lower volatility.

PCA Quantitative_Finance Portfolio_Optimization

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