Arjun Ravi Shankar Email & Phone Number

Milpitas, California, Us

New Brunswick, Nj, Us

Led cross-functional teams in developing computer vision models for surgical video from ideation to production. Collaborated with team of deep learning engineers to create pipelines for expedited model development.- Enabled rapid, deep learning model development and 30% reduction in data labeling costs by designing and implementing fully automated cloud-based active learning pipeline in conjunction with team of 4 data scientists.- Directed 10-person team of clinicians, clinical engineers and annotators, building a state-of-the-art scalable production-ready computer vision model for detecting bodily fluids in surgical video with accuracy and F1 of 90%.

New Brunswick, Nj, Us

Constructed multimodal ML models for lung cancer nodule classification and managed relationships with external AI partners. Trained in leadership skills as part of selective R&D Leadership Development Program.- Shortlisted potential lung cancer deep learning partners by orchestrating rigorous predictive modeling competition, resulting in strategic collaboration between Optellum and J&J.- Created multimodal Elastic Net and SVM models, classifying lung nodule malignancy using CT imaging features and blood-based miRNA expression levels.- Implemented LSTM model, predicting future risk of lung cancer from past EMR data.

Rahway, New Jersey, Us

Engineered deep learning time series models to improve vaccine manufacturing process.

Philadelphia, Pennsylvania, Us

Managed large-scale research datasets in medical setting, ensuring patient data privacy.Publication: 3rd Author “Big Data in Status Epilepticus.” Epilepsy & Behavior-Coding Active Learning CNN for Chest X-Ray Disease Classification o Model built in Python using Keras running on TensorFlow backend o Predicting 14 Disease Classes in 371,920 Chest X Rays-Managing data pipeline to convert, annotate, and upload 1.2 TB of patient electrographic data-Analyzing relationship between responsive neurostimulator lead localization and clinical outcome using dynamic network analysis.

-GTRACK was a Y Combinator funded startup that sold nanotechnology tracer services to Oil and Gas Production Companies-Analyzed market size, identified and contacted potential customers-Investigated logistics of tracer deployment at well-site-Helped develop terms for acquisition negotiations

Masters Of Science In Engineering, Bioengineering

Bachelors Of Science In Engineering, Bioengineering