Hero

Hi,
I'm Shreel!
I'm a Cloud Infrastructure Engineer at Databricks.

Download Resume
constAbout_Me={
name:'Shreel Shah',
currentLocation:NYC,
interests:['Software Engineering', 'Data Engineering', 'AI/ML', 'Analytics', 'Cloud', 'DevOps'],
skills:['Python', 'Java', 'C', 'Node.js', 'Next.js', 'SQL', 'PostgreSQL', 'Spark', 'Scala'],
currentRole:Cloud and Data Engineer
};

Get To Know Me

I'm Shreel Shah, an engineer at Databricks. My main expertise revolves around designing enterprise-level microservice applications and API's. I am also working to develop complex ETL data pipelines, data warehousing solutions, AI/ML applications, and cloud infrastructures.


My passions and interests lie within the realms of developing full-stack applications, scaling use cases for AI/ML, and driving impact through software.


Always open to building something new and exciting. Reach out and let's work to make something impactful!

Shreel Shah
Hero
Education
Hero
Hero

Jan 2025 - May 2027

Master of Science: Data Science & Analytics

Georgia Institute of Technology

Hero

Aug 2019 - Dec 2022

Bachelor of Science: Computer Science

Pennsylvania State University

Hero
Experience
HeroHero
Hero

(Nov 2024 - Present)

Cloud & Data Engineer

Databricks

Hero

(Jan 2023 - Nov 2024)

Software Engineer

Deloitte

Hero

(Jan 2022 - Dec 2022)

Machine Learning Engineer

Nittany AI Alliance

Hero

(Jun 2022 - Aug 2022)

Software Engineer, Intern

Deloitte

Hero

(Jun 2021 - Aug 2021)

Data Scientist, Intern

Verizon

Deloitte

constexperience={
company:'Deloitte',
tools: ['Python', 'FastAPI', 'Flask', 'Django', 'SQL', 'Powershell', 'C#', 'Git', 'Azure DevOps],
role:Software Engineer,
Description: Backend engineer focused on designing and developing scalable APIs and microservices. Developed and maintained complex ETL data pipelines for downstream AI/ML applications and BI analytics.,
};

Nittany AI Alliance

constexperience={
company:'Nittany AI Alliance',
tools: ['Python', 'GraphQL', 'PyTorch', 'TensorFlow', 'spaCy],
role:ML Engineer,
Description: Developed an advanced system using natural language processing and computer vision to construct graph networks for misinformation detection on social media. Designed and fine-tuned machine learning pipelines for data preprocessing, feature extraction, and model optimization, ensuring scalability and high accuracy in real-time analysis.,
};

Deloitte

constexperience={
company:'Deloitte',
tools: ['Python', 'R', 'Scikit-learn', 'Flask', 'SQL', 'Amazon RDS', 'Amazon S3', 'AWS Lambda', 'PowerBI],
role:Software Engineer, Intern,
Description: Developed a staffing forecast tool using Python, Flask, SQL, and AWS Forecast. Built an end-to-end data pipeline with Python, Spark, AWS Glue, and integrated Power BI for real-time metrics reporting and visualizations.,
};

Verizon

constexperience={
company:'Verizon',
tools: ['Python', 'PySpark', 'SQL', 'Hadoop', 'TensorFlow', 'PowerBI],
role:Data Scientist, Intern,
Description: Supported the Network Partnerships and AI/ML teams within the Verizon Consumer Group. Developed analytical roadmaps for nationwide 5G deployment using Python and SQL, presenting insights to senior leadership. Collaborated on a production-ready recommendation engine, leveraging user data and key metrics to optimize sales on the Verizon products site.,
};
Skills