Malcolm / portfolio / 2026
Top 3 — Wayfair Hackathon
Identity
Computer Science student at the University of Illinois Urbana-Champaign with experience building AI document-processing systems, mobile products, computer vision tools, full-stack applications, and GPU-accelerated software.
AI systems
full-stack builds
computer vision
GPU programming
Software engineer / machine learning / systems
Malcolm
builds
intelligent systems
Software and machine learning engineer building scalable AI systems, consumer products, and high-performance applications. The site is organized like a project index: stripped back, direct, and built to let the work carry the weight.
About
Engineering depth with product instinct, shipped through real client work and systems-heavy builds.
Operating mode
I build software that moves between model logic, product surfaces, and system constraints without losing clarity. The work ranges from document intelligence and mobile apps to low-latency backends and CUDA implementations.
Current lens
Student at the University of Illinois Urbana-Champaign focused on AI products, full-stack execution, and machine learning initiatives.
Selected work
Project index
Portfolio pieces arranged more like a catalog than a dashboard: direct, scan-friendly, and intentionally sparse.
Experience
Built for teams and clients
Jun 2026 - Aug 2026
Wayfair
Software Engineering / Machine Learning Intern
Location
Boston, MA
Contributed to engineering and machine learning initiatives at Wayfair.
Built or supported systems related to data processing, experimentation, customer intelligence, or internal tooling.
Placed Top 3 in Wayfair's internal hackathon.
Mar 2026 - May 2026
Squint AI — CUBE Consulting
Software Engineer / AI Consultant
Location
Champaign, IL
Built an AI-powered pipeline that transformed PDF, DOCX, and TXT documents into structured standard operating procedures.
Developed structured JSON output for downstream editing and application use.
Created evaluation workflows using golden-file datasets.
Dec 2025 - Present
Nando Milano
Software Engineer
Location
Champaign, IL
Built a mobile restaurant loyalty application.
Developed customer rewards and points functionality.
Worked with Square Loyalty and Catalog APIs.
Jun 2024 - Aug 2025
Everyone Can Code Chicago
Software Engineering Intern / Technical Teaching Assistant
Location
Chicago, IL
Developed a computer-vision pipeline with 95% validation accuracy.
Integrated computer-vision functionality into an iOS application.
Supported more than 500 beta tests and App Store preparation.
Capabilities
A compact build language
Grouped by actual operating range instead of visual fluff. The goal is signal, not decoration.
Languages
Python
Languages
C++
Languages
CUDA
Languages
TypeScript
Languages
JavaScript
Languages
SQL
Languages
Swift
Languages
Java
Languages
Verilog
Languages
MIPS Assembly
AI and Data
Machine Learning
AI and Data
Computer Vision
AI and Data
Gemini API
AI and Data
OCR
AI and Data
Data Modeling
AI and Data
Document Parsing
AI and Data
Evaluation Pipelines
AI and Data
Pydantic
AI and Data
NumPy
Full-Stack
React
Full-Stack
React Native
Full-Stack
Next.js
Full-Stack
Expo
Full-Stack
FastAPI
Full-Stack
REST APIs
Full-Stack
Supabase
Full-Stack
Clerk
Full-Stack
Redis
Infrastructure and Tools
Git
Infrastructure and Tools
Docker
Infrastructure and Tools
AWS S3
Infrastructure and Tools
Celery
Infrastructure and Tools
Vercel
Infrastructure and Tools
Xcode
Infrastructure and Tools
Appium
Infrastructure and Tools
Tesseract
Infrastructure and Tools
Square APIs
Systems
GPU Programming
Systems
Parallel Computing
Systems
CUDA Kernels
Systems
Computer Architecture
Systems
Data Structures and Algorithms
Signals
Measured outcomes
Top 3
Wayfair internal hackathon finish
90%+
Parsing accuracy across 20+ SOPs for Squint AI
50K words
Approximately processed through the Squint AI pipeline
95%
Validation accuracy on an internship computer-vision pipeline
500+
Beta tests supported
<1 second
Word Hunt board solving time
Archive 01
DermaLens
Computer-vision application that improved classification accuracy by approximately 15% and provided mobile-friendly feedback.
Archive 02
Restaurant Event Website
Event website supporting more than 100 attendees, backed by normalized SQL data models and REST APIs.
Archive 03
CUDA GPT-2
A systems-focused implementation of core GPT-2 forward-pass operations in CUDA, covering attention, matrix multiplication, normalization, residual connections, and GeLU.
Archive 04
Mosaic Generator
A C++ image mosaic generator using KD-trees and nearest-neighbor matching.
Archive 05
Maze Generator and Solver
A C++ application for generating and solving mazes using graph traversal and disjoint-set data structures.
Archive 06
Huffman Compression
A lossless compression implementation using binary trees and Huffman encoding.
Contact
Open to engineering roles, selective freelance work, and AI product conversations.
If you want someone who can move from model behavior to product implementation to performance details, let's talk.