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DANKos

Hello World, I'm Jason Dank.

Jason Dank

About Me

I'm a passionate full stack software developer with a strong foundation in building scalable web, mobile, and automation solutions. Currently working as a Full Stack Software Engineer at Fidelity Investments on the Private Shares platform, I specialize in developing financial technology solutions that serve institutional and individual investors.

My experience spans from enterprise IT operations at Harvard University to building innovative fintech solutions at one of the world's largest financial services companies. I integrate cutting-edge machine learning techniques where needed while focusing on end-to-end system design and financial market applications.

Beyond technology, I'm actively engaged in leadership roles on campus and competitive sailing. As president and captain of the Wentworth Sailing Team, I've led the team to its highest performing season since 2019. During summers, I compete in large yacht racing in Marblehead, MA, combining my passion for competition with strategic thinking and teamwork.

4+
Years Experience
15+
Projects Completed
8+
Client Collaborations

Education

B.S. in Computer Science
Wentworth Institute of Technology
  • Minors: Data Science, Applied Mathematics, Business Analytics, Computer Networking
  • GPA: 3.7
  • Dean’s List: Fall 2022, Sping 2023, Fall 2023, Spring 2024, Fall 2024
  • Expected Graduation: August 2026

Experience

Aug 2025 - Mar 2026 Β· 8 mos

Endpoint Systems Engineer intern

Harvard University Β· Internship

Jun 2025 - Aug 2025 Β· 3 mos

IT Services Consultant

MouthWatchers Β· Contract

May 2025 - Aug 2025 Β· 4 mos

Technical Program and Operations Manager

Wicked Pickleball Β· Contract

Skills & Expertise

The technologies and tools I specialize in to build innovative solutions.

Programming Languages

  • Python (Advanced)
  • Java (Advanced)
  • C/C++ (Intermediate)
  • SQL (Intermediate)
  • Bash/Shell Scripting (Advanced)
  • Swift (Intermediate)

Machine Learning & Data

  • Pandas & NumPy
  • Scikit-learn
  • TensorFlow & Keras
  • Weights and Biases (wandb)
  • Data Visualization
  • Natural Language Processing

DevOps & IT

  • PowerShell Scripting
  • Linux System Administration
  • SCCM & JAMF Pro
  • Windows System Administration
  • Cloud Services (AWS, Azure)
  • Docker & Containerization

Web Development

  • HTML (Intermediate)
  • CSS (Intermediate)
  • JS (Intermediate)
  • Flask (Advanced)
  • Render (Advanced)

Soft Skills

  • Project Management
  • Team Leadership
  • Technical Communication
  • Problem Solving
  • Public Speaking
  • Mentoring & Teaching

Featured Projects

A showcase of my recent work and technical projects.

Sailing Rules Assistant
Flan-T5 Fine-tuning NLP Python

Fine-Tuning an AI Sailing Rules Assistant

Fine-tuning a Flan-T5 model for answering questions about sailing rules and interpreting racing scenarios. The model is trained on JSON data containing instructions, optional context, and expected outputs to create an assistant that can answer questions about sailing rules.

Enterprise WSL2 Server Infrastructure
WSL2 Windows Ubuntu CUDA Tailscale

WSL2 Server Infrastructure with GPU Acceleration

Systematic transformation of an HP ZBook Fury laptop into a robust, always-on home server infrastructure. Solved critical challenges including WSL2's idle shutdown behavior, secure SSH-over-Tailscale connectivity, and GPU passthrough configuration for CUDA workloads.

Grocery Barcode Scanner
Python Flask SQL

GroceryBarcodeScanner

A scalable microservice for scanning and categorizing thousands of retail products with machine learning integration.

HUIT_BoT
Python NLP Spacy

HUIT_BoT

A Chatbot utilizing Natural Language Processing to assist new hires at Harvard University Information Technology by referencing documented information from past technicians by using natural language in a conversational format rather than fishing through a knowledge base.

Deep Learning Analysis with CNN-LSTM for Stock Market Predictions
Python LSTM CNN TensorFlow

Deep Learning Analysis with CNN-LSTM for Stock Market Predictions

This project implements a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model to predict stock prices. The model uses historical stock data, along with technical indicators, to forecast future stock prices. This financial technology solution demonstrates expertise in quantitative analysis and algorithmic trading strategies, directly applicable to private market investment platforms like Fidelity Private Shares.

Linux Server Monitering System 'Dank's Squash Pie Monitor'
Python Linux Sub-processes

Linux Server Monitering System "Dank's Squash Pie Monitor"

DSPM (Dank's Squash Pie Monitor) is a Python-based GUI application that monitors multiple Linux systems from a macOS or Windows environment. Leveraging SSH connections, the application periodically retrieves critical system metrics such as CPU usage, memory consumption, disk usage, and system uptime.

BullBar Real-Time Stock Ticker for macOS
Swift macOS CloudFlare

BullBar β€” Real-Time Stock Ticker

BullBar is a lightweight SwiftUI macOS utility that floats above all windows, displaying a fully customizable, always-on-top strip of real-time stock quotes via a secure Cloudflare Workers proxy to Financial Modeling Prep’s batch APIβ€”no user credentials required. Features include adjustable scroll speed, clamped hourly refresh intervals (to stay within free-tier limits), light/dark theming, low-power mode and β€œSelect All”/β€œDeselect All” ticker management for maximum battery savings and simplicity.

Bartender-GPT
Swift iOS App Store

Bartender-GPT

An iOS app written in Swift and optimized for iPhoneβ€”with functionality also on iPad. This ongoing project is published on the App Store and continuously receives feature updates.

Certifications

Professional certifications and credentials that validate my technical expertise and knowledge.

Jamf Certified Associate - Jamf Protect

Jamf Certified Associate - Jamf Pro

Recommendations

β€œJason worked with our Endpoint Systems Management team as a coop. He quickly integrated himself into the team and found several ways to add value. He helped solve a long running problem of automating and standardizing the names for Mac computers. He then switched platforms and coded a solution for a Windows issue. Jason is a strong team player, an inventive problem solver, and an excellent programmer. I am confident that he will add value to any organization he works for.”
KurtΒ Levitan Microsoft Endpoint Architect & Team Lead, Harvard University
"A computer science major with minors in data science, business analytics, applied mathematics, and computer networking, Jason Dank's pursuit of a wide variety of academic knowledge has also led him to be actively engaged in various organizations on campus. Jason serves on the Wentworth Student Government (WSG) as the Executive Vice President and Chair to the Board of Directors. He represents the student body serving on the universities' Information Technology Steering Committee (ITSC) and the School of Computing and Data Sciences (SCDS) AI task force. He is also the president and captain of the Wentworth Sailing Team, and during the summer, he competes in large yacht racing in Marblehead, MA. Jason is passionate about developing resources for artificial intelligence, specifically in fine-tuning AI modeling and application development. This has led to creating several active AI applications while at Wentworth, including a full-stack web application that enables customers to get real-time price data on items available at the campus grocery store via their cell phones. He also has two others that he has published in the Apple App store. Without the generous scholarship support he has received, Jason believes that the success he has achieved attending Wentworth would not have been possible."
Wentworth Institute of Technology 2025-2026 Scholarship Report Recognition

Get In Touch

Run the code to see my contact information!

EXPLORER
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src
assets
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contact.js
about.js
projects.js
README.md
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contact.js Γ—
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/**
 * Contact Information
 * Run this code to display my contact details
 */
class ContactInfo {
  constructor() {
    this.name = "Jason Dank";
    this.email = "jasondank@yahoo.com";
    this.location = "Boston, Massachusetts";
    this.linkedin = "linkedin.com/in/jason-dank";
    this.github = "github.com/jdank417";
  }

  displayContactInfo() {
    console.log(`Name: ${this.name}`);
    console.log(`Email: ${this.email}`);
    console.log(`Location: ${this.location}`);
    console.log(`LinkedIn: ${this.linkedin}`);
    console.log(`GitHub: ${this.github}`);
  }
}

const myContact = new ContactInfo();
myContact.displayContactInfo();
Ready
main
JavaScript
UTF-8
Terminal: bash
Click "Run Code" to see the output

Contact Information