Languages & Frameworks
- JavaScript, TypeScript, Java, Python, SQL
- React.js, Node.js, Express
- HTML/CSS, RESTful APIs
Software Engineer I @ The Home Depot
M.S. Computer Science · ML @ Georgia Tech
Hi, I'm Nicholas Korcynski
I build human-centered software backed by reliable AI.
I'm a Software Engineer I on The Home Depot's core web team, an M.S. Computer Science student at Georgia Tech specializing in Machine Learning, and the founder of Dynamic Reasoning LLC. My focus is production AI, full-stack web, and the engineering it takes to make both hold up in front of real users.
- Shipping production React and GraphQL on homedepot.com as a Software Engineer I.
- Sole engineer for Who's Brew, a client of Dynamic Reasoning — I built and maintain their live multi-vendor specialty coffee marketplace end-to-end (Next.js, Stripe Connect, multi-tenant data, Cerebras-served LLM features).
- Pursuing my M.S. in Computer Science at Georgia Tech, specializing in Machine Learning, alongside the engineering work.
Currently
Working full-time as a Software Engineer I at The Home Depot, building Dynamic Reasoning LLC alongside it, and pursuing my M.S. in Computer Science at Georgia Tech with a Machine Learning specialization.
- Shipping production React on homedepot.com
- Maintaining the platform I built end-to-end for Who's Brew, a live multi-vendor marketplace client
- Graduate Computer Science coursework at Georgia Tech, ML track
About
I thrive on delivering polished user experiences grounded in solid engineering. I joined The Home Depot full-time as a Software Engineer I after graduating from Rowan University a year early, and I'm continuing my education at Georgia Tech in their M.S. Computer Science program with a Machine Learning specialization.
On the THD core web team I ship customer-facing React, React Query, and GraphQL on homedepot.com. Outside of that role I run Dynamic Reasoning LLC, whose flagship engagement is Who's Brew — a live multi-vendor specialty coffee marketplace. The company and product are theirs; I'm the sole engineer who built the platform end-to-end and continues to maintain it (real payments, multi-tenant data, LLM-powered search and recommendations).
Outside of all that you'll find me refining my skills, exploring applied AI patterns, and shipping projects that take an idea from sketch to something real users can actually use.
Location
Mahwah, New Jersey
Education
B.S. Computer Science, Rowan University (2026)
M.S. Computer Science, Georgia Tech · Machine Learning specialization (in progress)
Current Role
Software Engineer I · The Home Depot
Founder · Dynamic Reasoning LLC
Focus Areas
Software Engineering, AI/ML, Production Systems
Independent Practice
Dynamic Reasoning LLC
Production AI and full-stack systems, built by one engineer.
Dynamic Reasoning is the consulting practice I run alongside my role at The Home Depot. I take on a small number of engagements at a time — multi-vendor commerce platforms, applied LLM features, computer vision pipelines, and ML model deployment. The flagship engagement is Who's Brew, where I'm the sole engineer behind a live specialty coffee marketplace.
Technical Skills
Systems & Platforms
- Socket.IO real-time architecture
- AWS Amplify, S3, CloudFront, Global Accelerator
- MongoDB Atlas, GitHub Pages, Git workflows
AI & Craft
- AI/ML fundamentals with TensorFlow & PyTorch
- Front-end performance optimization
- UX-focused design and accessibility
Experience
Software Engineer I · The Home Depot
- Ship production React, React Query, and GraphQL features on the homedepot.com core web team.
- Returned full-time after two internships on the same team; converted from intern offer after delivering production-ready features during the 2025 internship cycle.
- Continue to focus on performance, accessibility, and the boring discipline that separates a demo from a system.
Founder & Sole Engineer · Dynamic Reasoning LLC
- Sole engineer for Who's Brew — built the entire platform (frontend, backend, infrastructure, AI features) for the client's live multi-vendor specialty coffee marketplace and continue to maintain it.
- Stripe Connect for per-vendor payouts, Redis-backed sessions, MongoDB with split data layer, Cerebras-served LLM for search and recommendations.
- Take on a small number of engagements at a time alongside the full-time engineering role.
Retail Associate · The Home Depot
- Worked in the Lumber Department as a retail associate, interacting with customers, working shelves, and operating all machinery authorized by THD.
- Transitioned off this role on accepting the full-time Software Engineer I position.
Software Engineer Intern · The Home Depot
- Delivered customer-facing React components backed by React Query and internal APIs for homedepot.com.
- Contributed to performance optimization and feature development across Agile sprints.
- Collaborated with designers, PMs, and senior engineers to ship production-ready code. Received the full-time SE I offer at the end of the internship.
Retail Associate · The Home Depot
- Working in the Lumber Department as a retail associate, interacting with customers, working shelves, and driving all machinery authorized by THD.
Software Engineer Intern · The Home Depot
- Worked on a Custom Package Designer project utilizing ReactJS, allowing customers to choose appliances and purchase them as packages.
- Implemented front-end features using React, GraphQL, and JavaScript best practices.
- Collaborated with cross-functional teams on concurrent programming and software design patterns.
Overnight Freight Associate · The Home Depot
- Unloaded trucks and sorted boxes for distribution and pack-downs in the store.
- Operated Forklift, Reach, and Pacer machinery daily with safety and precision.
- Maintained warehouse operations efficiency and accuracy under overnight shift schedules.
Retail Associate & Overnight Freight Associate · The Home Depot
- Retail Sales Associate trained on all machinery including Forklift, Reach, and Order Picker operation.
- Cross-trained as cashier, order picker, and freight handler.
- Maintained high standards in customer service and warehouse operations.
Personal Projects
For client work, see Independent Practice above.
OneNote Whiteboard Scanner
Windows desktop application using computer vision and AI to digitize whiteboard content, outputting clean vector graphics with direct OneNote integration via Microsoft Graph API.
Python
OpenCV
React
Electron
AI Chess Model
AlphaZero-inspired chess engine using a ResNet neural network and Monte Carlo Tree Search, pre-trained on millions of Lichess games then refined through self-play reinforcement learning. Runs as a lightweight REST API with ONNX inference on CPU.
Python
PyTorch
ONNX
FastAPI
MCTS
SceneIt
Full-stack movie discovery platform with swipe-based interface, Google OAuth authentication, and AI-powered recommendations using Gemini API for personalized film suggestions.
React
TypeScript
Node.js
Gemini API
Study Hub
Static study platform that transforms JSON files into interactive learning experiences with notes, flashcards, quizzes, games, and integrated PDF viewing—no backend required.
HTML/CSS/JS
Static Site
AWS Amplify
Professional Certifications
IBM AI Engineering Specialization
Coursera • IBMComprehensive AI engineering program covering machine learning, deep learning, and generative AI applications. Projects include sentiment analysis with Flask, image captioning with generative AI, ChatGPT-like applications with open source LLMs, voice assistants with GPT APIs and Watson, AI meeting companion with Llama, and "Babel Fish" universal language translator with Flan and Gradio.
Python & PyTorch
TensorFlow
Generative AI
LLMs
Flask
View Credential →
Microsoft Azure AI Engineer Associate
MicrosoftExpertise in planning and managing Azure AI solutions, implementing generative AI and agentic solutions, computer vision, natural language processing, and knowledge mining. Demonstrated ability to design and deploy enterprise-scale AI applications using Azure's cognitive services and machine learning capabilities.
Generative AI
Computer Vision
NLP
Knowledge Mining
Azure AI
View Credential →
NVIDIA AI Infrastructure & Operations
NVIDIASpecialized knowledge in accelerated computing use cases, AI/ML/deep learning fundamentals, GPU architecture, and NVIDIA's software suite. Covers infrastructure and operational considerations for adopting and managing enterprise NVIDIA AI solutions with focus on GPU-accelerated computing environments.
GPU Architecture
Accelerated Computing
AI Infrastructure
Deep Learning
NVIDIA Software
View Credential →
Education
Georgia Institute of Technology
M.S. Computer Science · Specialization: Machine Learning · In progressGraduate study in machine learning with focus on deep learning, natural language processing, and applied AI systems. Pursued alongside my full-time Software Engineer I role at The Home Depot.
Rowan University
Bachelor of Science in Computer Science · 2026College of Science & Mathematics · Graduated one year early. Coursework in Software Engineering, Design & Analysis of Algorithms, Information Visualization, Cyber Security Fundamentals, Data Structures, Object-Oriented Programming, Computer Organization, Calculus I/II, Linear Algebra, and Discrete Mathematics.
Mahwah High School
Class of 2023STEM-focused curriculum with Dual Enrollment Data Structures with FDU, AP Computer Science, Honors Calculus, etc.
Achievements
Career Milestones
- Joined The Home Depot full-time as a Software Engineer I after two internships on the same team.
- Graduated a year early with my Bachelor of Science in Computer Science from Rowan University.
- Admitted to Georgia Tech for the M.S. in Computer Science, specializing in Machine Learning.
- Founded Dynamic Reasoning LLC and landed Who's Brew as the flagship client engagement (sole engineer on their platform build and ongoing maintenance).
Project Impact
- Built and maintain the platform for Who's Brew end-to-end as their sole engineer — a live multi-vendor coffee marketplace processing real payments through Stripe Connect.
- Built OneNote Whiteboard Scanner using OpenCV and Microsoft Graph API to digitize whiteboards into clean vector graphics.
- Built SceneIt to combine Gemini-powered recommendations with interactive filtering controls.
- Developed Study-Hub to auto-generate notes, flashcards, and quizzes from structured JSON.
Operations & Leadership
- Known for task management, workload prioritization, and clear communication under pressure.
- Applies UX research insights to elevate every build, from prototypes to production features.
- Balance technical depth with user-centered design to deliver accessible, performant solutions.
Recommendations
Jabari Hosey
Software Engineering Manager • The Home Depot
LinkedIn Recommendation • July 27, 2024
"Nick was excellent during his internship time with the Major Appliance Browse Team at The Home Depot. He took initiative in learning our domains and infrastructure. He collaborated with multiple engineers and he was willing to innovate as he went. I would recommend Nick to take on a developer role and continue to grow and be an asset."
View LinkedIn Profile →Devin Ritter
Software Engineer II • The Home Depot
LinkedIn Recommendation • July 28, 2025
"I had the pleasure of mentoring Nicholas during his internship, and he quickly stood out as a curious, fast learner who consistently exceeded expectations. He tackled new challenges with enthusiasm and picked up complex concepts with ease. Nicholas was also a strong team player, collaborating effectively with his peers and playing a key role in delivering an outstanding final project. His work ethic, eagerness to learn, and ability to contribute meaningfully made a lasting impression. I highly recommend him for any future opportunity."
View LinkedIn Profile →Andrew Oppenheimer
Software Engineer II • The Home Depot
LinkedIn Recommendation • August 4, 2025
"I have had the pleasure of mentoring Nicholas two times during his internships. Across those two internships I have witnessed his growth as an upcoming software engineer and I believe in his potential to reach great heights. He jumps into problems quickly and knows when to reach out with questions. Nick would be an asset to any team that he is a part of."
View LinkedIn Profile →Resume Snapshot
Core Highlights
- Blends enterprise experience with entrepreneurial projects across web, AI, and real-time systems.
- Comfortable shipping production React and Node.js codebases with strong testing discipline.
- Hands-on with cloud deployments, DevOps workflows, and performance tuning.
- Committed to inclusive, user-focused design that translates complex ideas into intuitive products.
Explore the detailed resume for expanded project summaries, toolchains, and prior work history.
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I'm always excited to talk about software engineering, AI, ML, and opportunities to deliver meaningful user experiences. Reach out and let's collaborate.