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Rohan W

@rohanw

Machine Learning Engineer at Rapid Acceleration Partners

Chennai, India

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Rapid Acceleration PartnersSRM University

Rohan W is an experienced Machine Learning Engineer with expertise in developing NLP and Multi-Modal components for AI solutions. He has a strong background in data science, including developing data processing tools and validating complex clinical datasets. His technical skills encompass Python, PyTorch, TensorFlow, and cloud technologies like AWS.

Experience

Machine Learning Engineer

Rapid Acceleration Partners

•Feb 2020 - Present•Chennai, TN

Worked on developing NLP and Multi-Modal components for rapflow ( Low code AI Solutions Platform ). Lead a team that built and deployed AI driven automation tools to optimize sales leads for US car dealerships as well as create new sales leads to drive revenue growth. In addition to that we developed a tool to optimize warehouse workflow. Developed document classification model to classify documents in the airplane parts space and a document understanding models to extract key value pairs from the same.

Data Science Associate

Zoomrx

•Jun 2019 - Nov 2019•Chennai, TN

Developed data processing tool so as to ensure that data from different sources integrates seamlessly with the different modules that consume that data. Developed a tool for validating and cleaning millions of rows of clinical trails data which is stored across multiple databases across multiple formats in real-time. Designed Business Rules for strategic classification of data into concepts such as Disease, Firms and Drug and Creating a pipeline so as to ensure that the data integrates with the existing concepts.

Data Science Intern

Zoomrx

•Dec 2018 - May 2019•Chennai, TN

Worked on developing a browser extension which acted as an lookup table for medical terms in the webpage which consumed Ferma.ai ( Market intelligence AI product ). Worked on an automated annotation tool that parses medical data and extracts keywords for Ferma.ai. Worked on a internal tool to QC parsed data and update them real-time.

Education

SRM University

B.Tech E.C.E

ECE

Jul 2015 - Jul 2019

Relevant Coursework included Data Structures, Software Methodology, Algorithms Analysis, Digital Image Process, Probability and Random Process, Internet Technology, and Systems Programming.

Licenses & Certifications

Deep Learning Spelization

Coursera

Issued: Nov 2019• No expiration

Skills

Python
JavaScript
SQL
Go
C++
Bash
Linux
Git
PyTorch
TensorFlow
Docker
Flask
FastAPI
AWS
Redis
Celery
scikit-learn