Utkarsh P Srivastava

(Image: I took this image on a sunny and lively Fall day in Central Park.)

Welcome to my portfolio!

I’m Utkarsh, a Master’s student at NYU specializing in Machine Learning🤖, with a strong passion for leveraging AI to solve real-world problems. My academic journey has been enriched by hands-on research experience, particularly in biomedical image analysis and advanced medical image compression techniques. 📊Along the way, I’ve co-authored several publications exploring novel architectures for segmentation and classification in imaging modalities like MRI and X-rays.

💼 Currently, I’m a Research Assistant at NYU Langone, where I focus on applying machine learning to uncover insights in healthcare data. My professional aspirations lie at the intersection of AI and healthcare, where I aim to develop intelligent solutions that drive innovation and efficiency. With a background that bridges academia and industry, I’m always excited to tackle challenging problems and collaborate on meaningful projects.

🌆When I’m not working on algorithms or analyzing data, you’ll likely find me exploring the streets of New York🗽, trying out new cafes☕, or staying active at Planet Fitness💪. Feel free to explore my site to learn more about my work and connect with me!

Work experience

Sep 24 - Present

NYU Langone Health 🇺🇲

Graduate Research Assistant

💻 Working on debaised Machine learning, causal inference and influence function in public health.

Jun 24 - Aug 24

Fujii Lab, Nagoya University 🇯🇵

Research Intern

💻 Selected as one of 13 candidates for JUACEP, a prestigious opportunity for highly qualified graduate students at Nagoya University for 10-week summer course. I worked in Fujii lab in the field of image compression for medical image. I focused on Region of Interest (ROI) coding, optimizing compression to preserve diagnostic details in critical regions.

Dec 21 - Jun 23

Sikkim Manipal Institute of Technology 🇮🇳

Research Assistant

💻 Worked on over seven biomedical image analysis projects, employing advanced techniques such as 3D segmentation and deep learning. Authored multiple research papers published in esteemed journals, showcasing innovative approaches and impactful findings in the field.

Aug 21 - Sep 21

Technocolabs Softwares 🇮🇳

Data Science Intern
💻 Worked in a team to deploy a Machine Learning model focused on market votality prediction and the creation of trading strategies.

Education

Sep 23 - May 25

New York University 🇺🇲

MS, Computer Engineering

Jun 19 - Jul 23

Sikkim Manipal University 🇮🇳

B.Tech. (Hons), Computer Science and Engineering, Hons: Artificial Intelligence

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