Keck Medicine of University of Southern California | May 2025 - Present
• Developed autoencoders and latent diffusion models using MONAI for high-quality brain MRI synthesis • Implemented DenseNet model in PyTorch for Alzheimer’s classification using brain images, achieving an AUC of 0.92 • Created regression models for genomic analysis, achieving 90% correlation in identifying genetic markers of disorders
Data Analyst Intern | May 2025 - Present
• Derived actionable insights from large healthcare data, ensuring HIPAA compliance and enhancing client decisions • Optimized SQL queries & built data pipelines to improve efficiency and reduce runtime, enabling faster data processing • Applied advanced statistical, data analysis, & data modeling techniques using Python, R, Excel & BigQuery to conduct comprehensive analysis, develop decision strategies, & create visualizations, driving informed business decisions
Research Assistant | August 2021 - January 2023
Advisor: Prof. Neha Katre
• Developed a novel key-frame extraction algorithm for video surveillance system & optimized the run time by 97.5% • Employed a custom-trained YOLOv8 model with an accuracy of 95% to detect anomalies like fire and weapons • Authored a paper about video analysis and performed a thorough performance analysis for object detection models • Created a custom YOLO fire & weapon dataset specifically for detection from CCTV footage with low resolutions
Research Intern | August 2021 - February 2023
Advisor: Prof. Pengtao Xie
• Collaborated and implemented an AutoML framework using PyTorch for decomposing object features into domain-specific & class-specific representations using neural architecture search approaches to solve the problem of domain adaptation • Optimized the framework and employed ResNet architectures with supervised & semi-supervised settings, & achieved a state-of-the-art accuracy of 87.5%
Software Engineer Intern | March 2021 - February 2022
• Designed an end-to-end admin portal using JavaScript & Node.js for Hustler Tanzania, an e-commerce company • Built an efficient data management system & triggers to handle the amount & velocity of data of company’s products and users • Provided real-time data analytics using Python for daily business analysis and presented strategic business decisions
Research Intern | March 2022 - January 2023
Advisor: Prof. Tapan Gandhi
• Tasked on quantifying the distribution of magnetic susceptibility within brain MRI images using deep neural networks • Implemented and boosted the accuracy of the U-Net model built using TensorFlow to 91% by leveraging the generated data with 3D geometrical shapes for training, & improved the model by applying structural similarity index loss function