Hey, I'm

Pragyan Shukla

I build things that move. In code and on roads.

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01. about

Who I Am

I'm a CS grad from George Mason University (class of 2025), focused on AI, machine learning, and data systems. I 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.

Since graduating, I've been shipping agentic AI projects, personal data tools, and open-source utilities, because the best way to stay sharp is to keep building. 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 in a specialty coffee shop thinking through my next project.

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

Agents

Signal-Scout

An AI-powered pipeline that extracts intent signals from prospect data and generates hyper-personalized outreach, end-to-end from raw input to drafted message.

TypeScript LLM Agents NLP Automation

GitHub

Agents

GyNuRo

An agentic teleconsultation app using multi-agent orchestration for patient intake, symptom routing, and appointment scheduling. Built with a TypeScript agent framework.

TypeScript Agentic AI Multi-Agent Full-Stack

GitHub

SoundScape

A music content enrichment pipeline that ingests raw music metadata and augments it with genre tags, mood classifications, and semantic embeddings, fully automated.

Python Data Pipeline NLP Music AI

GitHub

Passion Project

PaceIQ

Bridges Strava and Notion to surface personalized running insights. Auto-syncs workouts, computes pace trends, and pushes structured summaries to your Notion dashboard.

Python Strava API Notion API Personal Analytics

GitHub

OSS Tool

preflight

A plugin dependency manager for Claude Code. Declare your plugin dependencies and preflight resolves, installs, and validates them automatically, built for the Claude Code ecosystem.

Shell Claude Code Tooling OSS

GitHub

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

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

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 TypeScript Java SQL R Shell / Bash HTML CSS React T-SQL

>_ AI & Machine Learning

TensorFlow PyTorch Scikit-learn Pandas NumPy Matplotlib Seaborn LLM Agents OpenAI API Claude API Cohere API NLP

>_ Cloud & DevOps

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

>_ Databases & Tools

MongoDB SQL Server ServiceNow Notion API Strava API 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, asking whether humans are steering the flame or just standing next to it.

Read on Substack

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07. contact

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

Pragyan Shukla

Who I Am

Where I've Worked

Jr. Systems Administrator

Data Engineering Intern

Undergraduate Researcher

Jr. Software Developer Intern

Data Science & Business Analyst Intern

What I've Built

Signal-Scout

GyNuRo

SoundScape

PaceIQ

preflight

Data Observability Framework

AutoFind

PV Power Prediction

Excel Automation Pipeline

What I Work With

>_ Languages & Frameworks

>_ AI & Machine Learning

>_ Cloud & DevOps

>_ Databases & Tools

Things I've Written

We Didn't Start The Fire

More posts on the way...

Explore Interactively

Let's Talk