Thejas Prasad, Developer in Austin, TX, United States
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Thejas Prasad

Verified Expert  in Engineering

Team Management Developer

Austin, TX, United States
Toptal Member Since
December 15, 2020

Thejas is named one of the best young entrepreneurs on the Austin Inno's 25 Under 25 list. He has over five years of experience building a successful AI startup with Series A funding and a proven ability to successfully lead and deliver data science projects and products. Thejas is also experienced in full-stack, from building data engineering pipelines to using machine learning to deliver actionable insights and increased revenue for Fortune 100 business.



Preferred Environment

Amazon Web Services (AWS), Azure, Windows, MacOS, Linux, Python 3

The most amazing... of data scientists I've led implemented a loan adjudication model that increased the bank's loan book by CAD$1 billion and gross revenue by CAD$40 million.

Work Experience

Head of Data

2020 - PRESENT
Remedy Applications, LLC
  • Designed and architected HIPAA-compliant data warehouse for data ingestion, aggregation, data consistency, and reporting.
  • Implemented a data visualization tool, Amazon QuickSight, to deliver KPIs across the business.
  • Oversaw the implementation of the data dictionary and data definitions for the company-wide alignment of business processes and development.
Technologies: Amazon Web Services (AWS), Python 3

Senior Data Scientist | Founder

2015 - 2020
Cerebri AI, Inc.
  • Architected a machine learning operations framework to govern and orchestrate models in production, focusing on quality monitoring, standards for deployment, model performance, and model bias and fairness.
  • Led a team of data scientists to implement auto loan adjudication models for a leading Canadian bank (top five in Canada), increasing the bank's loan book by CAD$1 billion and gross revenue by CAD$40 million.
  • Designed and successfully launched social services mobile application to help community members navigate the complex health and human services system in central Texas.
Technologies: Keras, Natural Language Toolkit (NLTK), Pandas, NumPy, SciPy, Scikit-learn, Apache Airflow, Spark, Scala, Python 3

Quarterly GDP Prediction

Built a Python machine learning pipeline that had seven stages of transformations from feature engineering, feature selection, feature reduction to modeling, scoring, and explainability. The output was a machine learning model that predicted the gross GDP per quarter as backcast (previous quarter), forecast (next quarter), and nowcast (current quarter).


Python, Python 3, SQL, Scala, JavaScript


Pandas, Scikit-learn, SciPy, NumPy, OpenCV, Natural Language Toolkit (NLTK), Keras


Data Science, Agile, ETL, Business Intelligence (BI)


Agile Data Science, Financial Data Analytics, Team Management, Product Management, Data Analytics, Statistical Modeling, Statistics, Data Analysis


Linux, MacOS, Windows, Azure, Amazon Web Services (AWS)


PostgreSQL, MySQL




IBM Watson, Apache Airflow

2011 - 2015

Bachelor's Degree in Electrical Engineering

The University of Texas at Austin - Austin, Texas

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