Research Portfolio

Advancing the frontiers of Machine Learning, gravitational wave detection, quantum computing, and astrophysics through innovative research and computational methods.

5 Research Projects2 Ongoing Studies3 Completed Works

Ongoing

LIGO Real-time Analytics Pipeline

LIGO Scientific Collaboration

Mar 2025 - Present

Livingston, Louisiana (Remote)

Architecting advanced real-time streaming pipelines for gravitational wave detection using cutting-edge machine learning models to process massive volumes of seismic data.

Key Achievements:

Achieved sub-second end-to-end latency on 100M+ daily seismic samples

Architected Kafka → Flink streaming pipeline on Kubernetes for 24 HAM5 ISI channels

Apache FlinkKafkaKubernetesPython+5 more

Ongoing

Qubit Control with GNN-Driven 3D Hubbard Lattice Simulations

Trinity College-Hartford

Prof. Kalum Palandage

May 2025 - Present

Hartford, Connecticut

Advancing quantum computing through Graph Neural Networks applied to 3D Hubbard lattice qubit models, focusing on error reduction and optimization algorithms.

Key Achievements:

Leveraged message-passing GNNs in PyTorch Geometric on simulated 3D Hubbard lattice models

Reduced gate error by 28% across 50+ parameter configurations

Forthcoming peer-reviewed paper & open-source ML-driven quantum simulation toolkit

PyTorch GeometricGraph Neural NetworksOptunaPython+2 more

Completed

Prediction of SSD Disk Failure by Machine Learning

Trinity College-Hartford

Prof. Chandranil Chakrabortti

Jan 2024 - Jan 2025

Hartford, Connecticut

Developed advanced machine learning models for predictive maintenance in enterprise storage systems, processing massive datasets for failure prediction.

Key Achievements:

Built ML models using Sklearn, Keras, TABGAN, & Transfer Learning

Increased SSD & HDD failure prediction accuracy by 30.4% (63.7% to 94.1%)

Scikit-learnKerasGANsTransfer Learning+3 more

Completed

Prediction & Modeling of Supernova Explosion

Trinity College-Hartford & NC State University

Jan 2024 - Jan 2025

Hartford, Connecticut

Collaborative astrophysics research developing time-series models for supernova prediction and deployed scalable cloud solutions for astronomical data processing.

Key Achievements:

Developed time-series models using LSTM, RandomForest, & Transfer Learning

Increased supernova prediction accuracy by 15.4% in collaboration with NC State

LSTMTensorFlowFlaskGoogle Cloud+4 more

Completed

Heart Sound Classification using Machine Learning

Trinity College-Hartford

Jan 2023 - Dec 2023

Hartford, Connecticut

Biomedical signal processing research focusing on heart sound analysis and classification using advanced machine learning techniques for medical diagnostics.

Key Achievements:

Applied advanced noise reduction methods to enhance heart sound data quality

Implemented feature selection optimization for effective classification

PythonMATLABTensorFlowPyTorch+3 more

Research Focus Areas

My research spans across multiple interdisciplinary domains, combining computational methods with theoretical physics and practical applications.

Quantum ComputingGravitational Wave DetectionMachine LearningAstrophysicsBiomedical Signal Processing