Devansh Agarwal Email and Phone Number
Devansh Agarwal work email
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Devansh Agarwal personal email
I work at the intersection of Deep Learning, High-Performance Computing, and Big Data, with a focus on pushing the boundaries of large language models and their real-world applications. My passion lies in processing vast amounts of data at lightning speeds, creating impactful AI solutions that address complex challenges in healthcare and beyond.I specialize in training and fine-tuning billion-parameter models, developing agentic AI applications, and collaborating with stakeholders to ensure AI solutions deliver tangible value. My expertise spans Python, CUDA, PyTorch, Statistical Modeling, ETL, and AWS, allowing me to tackle diverse projects from concept to deployment.With a track record of accelerating clinical trials through AI and automating complex processes like tumor assessment, I'm committed to leveraging cutting-edge technology to drive innovation and efficiency in data-intensive fields.
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Staff Machine Learning ScientistTempus AiNew York, Ny, Us
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Associate Director, Data ScienceBristol Myers Squibb Oct 2024 - PresentLawrence Township, Nj, Us -
Senior Manager, Data ScientistBristol Myers Squibb May 2021 - Oct 2024Lawrence Township, Nj, Us• Trained and fine-tuned billion-parameter models from scratch, advancing the capabilities of large-scale AI systems.• Collaborated closely with stakeholders to incorporate feedback and create measurable impact in AI-driven projects.• Developed LLM-based agentic applications to accelerate clinical trials, improving efficiency in the drug development process.• Designed and implemented an automated tumor assessment pipeline using supervised and self-supervised learning algorithms.• Architected and optimized a cloud-based computing platform on AWS, enhancing data science team productivity.• Created an NLP-based pipeline for extracting key attributes from FDA drug approval documents, providing valuable insights into regulatory processes.
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Research AssistantWest Virginia University Jul 2019 - Dec 2020Morgantown, West Virginia, Us• Developed and implemented ETL pipelines to analyze petabytes of data in search of faint astronomical signals. The pipelines were built using Airflow, Python, and CUDA-based GPU accelerated codes, and they were able to search for faint astronomical signals 20 times faster than realtime.• Implemented extensive monitoring systems with Elasticsearch for geospatial data. The monitoring systems provided real-time insights into the performance of the pipelines, and they helped to identify and resolve any issues that arose.• Created Slack bots for easy user interaction with the pipeline. The Slack bots allowed users to interact with the pipeline in a natural way, and they made it easy for users to get the information they needed. -
Research AssistantWest Virginia University Mar 2018 - Sep 2019Morgantown, West Virginia, Us• Led a team of 22 astronomers worldwide and conducted a 300-hour survey with Australian Square Kilometre Array Pathfinder Telescope.• Processed 100+ TB data in real-time to search for faint astronomical signals and discovered FRB 180417.
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Research AssistantWest Virginia University Jun 2018 - Apr 2019Morgantown, West Virginia, Us• Wrote ETL pipelines using Python, Elasticseach, InfluxDB, and RabbitMQ with CUDA-based GPU accelerated codes to search for faint astronomical signals in realtime.• Deployed the pipeline at two of the world's largest telescopes and searched more than 400+ TB data in realtime.
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Research AssistantWest Virginia University Sep 2018 - Feb 2019Morgantown, West Virginia, Us• We created 11 multi-input CNNs with Tensorflow, each with recall and precision above 99.5%.• Deployed the models at 3 of the world's largest telescopes.• Create a python package and open-sourced the models which discovered 100+ real astronomical signals.
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Artificial Intelligence FellowInsight Data Science May 2020 - Jul 2020San Francisco, Ca, Us• Created DocClean, a web app to clean up images with crumpled backgrounds and stains.• Enhanced Google Tessaract’s accuracy up to 7% by removing dirty backgrounds.• Utilized AWS EC2 instances for training and git for system control and code reviews.• Leveraged Tensorflow to implement and train Autoencoders and Cycle-GAN based models. -
Project AssistantMax Planck Partner Group Aug 2015 - May 2016• Piloted gravitational waves analysis and developed a novel unified framework to search.• Developed a python-based framework for running large scale Monte Carlo Simulations.• Presented research findings at the Astronomical Society of India conference with 300 participants.
Devansh Agarwal Skills
Devansh Agarwal Education Details
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West Virginia UniversityPhysics -
Indian Institute Of Science Education And Research, ThiruvananthapuramPhysics
Frequently Asked Questions about Devansh Agarwal
What company does Devansh Agarwal work for?
Devansh Agarwal works for Tempus Ai
What is Devansh Agarwal's role at the current company?
Devansh Agarwal's current role is Staff Machine Learning Scientist.
What is Devansh Agarwal's email address?
Devansh Agarwal's email address is de****@****bms.com
What schools did Devansh Agarwal attend?
Devansh Agarwal attended West Virginia University, Indian Institute Of Science Education And Research, Thiruvananthapuram.
What are some of Devansh Agarwal's interests?
Devansh Agarwal has interest in Linux, Stanford University, Youtube, Katy Perry, Google Chrome, Education, Tom Cruise (Actor), Science And Technology, Google, Daft Punk.
What skills is Devansh Agarwal known for?
Devansh Agarwal has skills like Research, Physics, Latex, Matlab, Python, Shell Scripting, Linux, C++.
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