Anooj Patel Email & Phone Number

New York, Ny, Us

South San Francisco, California, Us

Working at the intersection of machine learning research, software engineering and biological data. Building out scalable ML frameworks, participating in cutting edge research in statistical modelling for cancer, genomics, computational biology, immunology and a few more omics. Scaling out reproducible and scalable data pipelines for liquid biopsy research.

Billerica, Ma, Us

Helping model dynamical systems with deep learning.

San Francisco, California, Us

Building quantitative strategies for automating digital asset management on smart contracts (sommelier.finance on Ethereum's Uniswap v3) to maximize APY. Creating data feeds, backtesting infrastructure and designing multi-asset strategies. Essentially doing quantitative research and trading for decentralized funds.

Lexington, Ma, Us

Building out a distributed datastore for precision medicine and highly available GUID and consistent generation via Spring.Creating innovative and highly performant ML applications for the healthcare domain.Leveraging Apache Spark, Docker, Kafka, REST APIs, and Kubernetes to establish a robust, automated system for handling large datasets and build microservices

Boston, Ma, Us

Responsible for developing deep learning models over large time-series EEG datasets.Other responsibilities included developing the infrastructure to deploy and optimize model performance with respect to convergence speed and evaluation metrics. Worked directly with researching neurologists from Massachusetts General Hospital to implement and optimize published results. Models and infrastructure were developed mainly in Julia via Flux.ml and other internal tooling.

La Jolla, Ca, Us

Classes included:CSE 8A Intro to Programming I (Java & Python)CSE 8B Intro to Programming II (Java)CSE 30 Computer Organization and Systems Programming (Assembly)CSE 100 Advanced Data Structures (C++ STL & ADTs)Under Professor Paul Yingjun Cao

Armonk, New York, Ny, Us

Worked at Watson West on the Open source AI and Data Science team. Working on Generative Adversarial Networks in tensorflow. Worked on GANs to generate audio commands/lofi instrumentals and financial time series data to aid with overfitting for financial models that the industry deals with. Also worked on Model Asset Exchange, or a protocol on wrapping and generalizing Deep Learning models to be deployed on cluster infrastructure such as Kubernetes or through cluster job management like Spark.

Armonk, New York, Ny, Us

I was at Watson West at the Open-Source Technology Team. I worked within the Spark Technology group to help port the Big Data framework Spark’s ML-lib to MLeap, a pipeline for running trained models for scoring on local machines. I also built a Keras Engine API into Apache SystemML to seamlessly run Keras models for distributed learning. As a side project, I built a Spark layer for blockchain powered cluster computing applications, such as SONM and Golem.

Allentown, Pa, Us

A rapidly growing startup focused on bringing smart medical tools to developing countries. I focused on launching the AI department for the organization. Tasks included specifications for building the infrastructure for training models, deploying data aggregation through data mining with Python, and building inferencing DL models for internal use.