Ayush Agarwal Email & Phone Number

Seattle, WA, US

San Francisco, California, US

1. Tech Lead [Next Best Action]- Spearheaded the development of an AI orchestration pipeline to help marketers identify their next best opportunity through a series of recommendations. Utilized a cutting-edge LLM API to dynamically generate message content variations along with determining a suitable retargeting audience for follow-up engagement.2..

San Francisco, California, US

1. Led the delivery of the patented brand affinity pipeline which assigns labels to all customers' users defining their relationship with brands. Helps over 3K brands to auto-segment billions of users into groups for specific campaign targeting.2. Contributed in 100x scale-up and optimization of data quality, model training and KPI pipelines, ensuring.

Baltimore, MD, US

1. I am working on my Master's Thesis at CIRL, JHU under Dr Gregory Hager. 2. My current work is on assembling, crowdsourced annotation and analysis of surgical video and kinematic data collected using the da Vinci surgical robot. 3. I will be looking to tackle the problem of Surgical Skill and Precision Evaluation by breaking it down into two subproblems.

San Francisco, California, US

1. Built Knowledge Graphs to extract Product Recommendations equipping clients with intelligent cross-channel marketing. Graph made with User-Product edges from product views and shopping funnel events.2. Constructed a robust pipeline using pySpark and Graphframes to handle a billion custom events and draw customer insights from user-product and.

Baltimore, MD, US

1. Analyzing radiological imaging using Deep learning algorithms (SSAE, CNN, DBNs) for detection of disease. Implementing and designing an interface for streaming algorithms using deep learning methods. 2. Designing a Generative Adversarial Network pipeline to support medical image synthesis using a limited available dataset. Conducted a comprehensive.

Baltimore, MD, US

Course Assistant for EN 601.415 Databases at JHU

Armonk, New York, NY, US

1. Project involved building a network to perform accurate hierarchical object detection in large images using attention focus mechanism in combination with deep neural networks.2. Used MATLAB for quadtree breakdown of image and Keras to calculate the latent space and the reconstruction of image by estimation of the joint probability. 3. Achieved results.

New Delhi, IN

• UNDERGRADUATE THESISBrain MRI SegmentationADVISORS: DR. CHETAN ARORA (IIIT-DELHI) AND DR. ANUBHA GUPTA (IIIT - DELHI)
• Detecting anomalies like schizophrenia, bipolar disorders, etc in the brain anatomy by doing semantic segmentation.
• Segmentation performed by fully connected convolutional neural networks and other deepnets.
• Concept devised to use a fan-in-fan-out network structure having skip connection for coarse and fine information sharing.
• Decision to use the 3D structure of the MRI as a collection of slices: maintained a gradient between consecutive slices using optical flows to exploit the temporal structure.
• Trained and Evaluated the model using various publicly available anatomy datasets to build a generalized system.

New Delhi, IN

Prepared and organized practical labs for first year undergrad students. Also held tutorials and office hours for revision.

Master'S Degree, Computer Science

Bachelor Of Technology (Btech), Computer Science