Pragyan Shukla

01. about

Who I Am

I'm a Computer Science senior at George Mason University (graduating 2025), focused on AI, machine learning, and data systems. I've spent my college years building things that actually matter — automating 8-hour workflows down to 5 minutes, predicting solar panel output with ML models, and engineering data-observability pipelines at a credit union.

When I'm not deep in a dataset or debugging a distributed system, you'll find me at a Cars & Coffee meetup, geeking out over engineering under hoods, or sitting in a specialty coffee shop thinking through my next project. That intersection of precision, craft, and passion is what drives everything I build.

I'm drawn to roles at the intersection of ML, data engineering, and systems — especially where the work has real-world impact.

RISE Scholar 2024

UTA · CS 110

5 Roles & Internships

GMU CS 2025

02. experience

Where I've Worked

Aug 2025 – Nov 2025 Systems

Jr. Systems Administrator

Chartway Credit Union · Virginia Beach, VA

Automated ServiceNow workflows for outage escalation, CI dependency mapping, and branch network monitoring using Flow Designer.
Enhanced CMDB accuracy through dynamic relationship automation, improving service-impact visibility across distributed systems.
Built real-time dashboards monitoring software usage and asset health across 400+ devices.

ServiceNow CMDB Distributed Systems Flow Designer

May 2025 – Jul 2025 Data

Data Engineering Intern

Chartway Credit Union · Virginia Beach, VA

Engineered a data-observability framework for core-banking and loan platforms using dynamic T-SQL, surfacing historic data-quality events.
Authored parameter-driven stored procedures automating multi-hour audits down to a single SQL call.
Maintained source control in GitKraken; enforced PR policies in Azure DevOps across two-week Agile/Scrum sprints.

T-SQL SQL Server Azure DevOps Agile

Jan 2024 – Jun 2024 Research

Undergraduate Researcher

George Mason University — College of Science · Fairfax, VA

Predicted photovoltaic solar panel output using supervised ML — SVR, Random Forest, Polynomial Regression — achieving a 15% R² improvement over baseline.
Evaluated models with MAE, MSE, RMSE, R² and iterated to optimize predictions.
Presented findings at the RISE Symposium with a visually compelling poster and full written report.

TensorFlow Scikit-learn Python ML Research

May 2023 – Jul 2023 Dev

Jr. Software Developer Intern

ByteRatio Inc. · Leesburg, VA

Built an Excel automation app with Python + AWS, cutting an 8-hour manual process to 5 minutes — a 95% efficiency gain.
Leveraged AWS S3, Lambda, SES/SNS for a serverless pipeline; containerized with Docker & Kubernetes.
Collaborated cross-functionally to deliver scalable solutions, improving team productivity by 25%.

Python AWS Docker Lambda

Dec 2021 – Jan 2022 Data

Data Science & Business Analyst Intern

The Sparks Foundation · Remote

Built data collection and analysis pipelines integrating internal and external datasets for business intelligence.
Applied regression and classification ML models in Python & R to extract actionable trends.

Python R Machine Learning

03. projects

What I've Built

Passion Project

AutoFind

An AI-powered semantic search engine for cars — built because car search engines are terrible. Uses Cohere NLP models for 30% better search relevance with a fully scraped, clean dataset.

Cohere NLP Python ML Full-Stack

Private Repo

PV Power Prediction

Predicting photovoltaic solar panel output with supervised ML. Achieved a 15% R² improvement over baseline using SVR, Random Forest, and Polynomial Regression.

TensorFlow Scikit-learn Python Research

RISE Symposium

Data Observability Framework

A T-SQL-based data-quality monitoring framework for core-banking and loan platforms. Parameter-driven stored procedures automate audits that previously took engineers hours.

T-SQL SQL Server Azure DevOps

Enterprise Project

Excel Automation Pipeline

AWS + Python pipeline that cut a manual Excel workflow from 8 hours to 5 minutes. Serverless execution via Lambda, storage via S3, notifications via SES/SNS.

Python AWS Lambda Docker S3

Enterprise Project

04. skills

What I Work With

>_ Languages & Frameworks

Python Java SQL R HTML CSS React T-SQL

>_ AI & Machine Learning

TensorFlow PyTorch Scikit-learn Pandas NumPy Matplotlib Seaborn OpenAI API NLP

>_ Cloud & DevOps

AWS S3 AWS Lambda AWS SES/SNS Docker Azure DevOps Git GitKraken

>_ Databases & Tools

MongoDB SQL Server ServiceNow Jira Confluence SSMS

05. writing

Things I've Written

Tech Mar 29, 2024

We Didn't Start The Fire

A co-authored piece exploring the rapid acceleration of AI and technology — and whether humans are steering the flame or just standing next to it.

Read on Substack

Coming Soon

Let's Talk

I'm open to new opportunities, interesting projects, and good coffee conversations. Whether it's a job, a collab, or just a question — drop me a line.

prag.shank@gmail.com