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AMBUJ ARORA

I train machines to make them smarter than me. I fail continuously.

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ABOUT ME

Glancing across the flood of online advertisements on Facebook, in July 2015, ‘Machine Learning’ (ML) caught my attention, and I was eager to learn more. Since then I've never looked back!


I am currently pursuing my Masters in CS from the University of Utah with a focus on ML and DL. Before starting my masters, I worked as a Sr. Data Scientist for two years at Algoscale Technologies. I also worked as a Deep Learning Intern at Intel Corporation in Summer 2020.


I always try to make a change in the world in any and every field possible. I have blended my CS skills with marketing, healthcare, finance, etc. to bring out the best of both worlds. Please look at my projects to learn more.

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PORTFOLIO OF WORK

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TOM AND SPIKE CLASSIFIER

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AUTO DEEP LEARNING

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BITCOIN PRICE PREDICTION USING MULTIPLE REGRESSION TECHNIQUES

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COREFERENCE RESOLUTION SYSTEM

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RANDOM PROJECTIONS USING RESERVOIR COMPUTING

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NOW YOU SEE ME - AN ONLINE TOOL TO VISUALIZE AIR POLLUTION IN USA

If you have any suggestions or would like to collaborate with me on the next world-changing project.
I am just a click away!

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CAREER HISTORY

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DEEP LEARNING ENGINEER

Intel Corporation
May 2020 - Aug 2020

  • Optimized Facebook’s RetinaNet model with 2.1x improvement over native TensorFlow version using parallel programming in both C++ and Python

  • Worked on improving training performance of Google’s TensorFlow for Intel scalable CPUs using MKL library on models like ResNet50, RetinaNet, MaskRCNN, Transformer and BERT-Large

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DATA SCIENTIST

Algoscale Technologies Inc.
Jul 2017 - July 2019  

  • Developed an Auto-Deep Learning pipeline that allowed non-technical users to train machine learning models using Keras (Python) with features such as memory management, result storage, and remote access

  • Built an automated Cryptocurrency Trading Bot on Bittrex exchange with a 10% profit on each transaction based on historical features and financial indicators using XGBoost in Python

  • Built a recommendation model for medical drug trials based on cosine similarity of word2vec features ensuring 95% accuracy, parsing over 250k XMLs stored in Elasticsearch, using Python

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MACHINE LEARNING RESEARCHER

IIT Delhi
Jan 2017 - June 2017

  • Collaborated with AIIMS, Delhi, India to develop a mobile platform for Diagnosis of Cervical Cancer by classifying cervical images using ResNet18 into severely infected, infected and normal, in Keras, helping around 60%cervical cancer patients in Orissa, India

GET IN TOUCH

School of Computing, University of Utah, Salt Lake City

801-919-4468

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