Glad you could make it here! This is my personal portfolio, where I showcase my projects, skills, and experiences. Feel free to explore and learn more about me and what I've been up to.
Get Started!

Liam Lawless

Boston, MA, USA

I’m a new-grad full stack software engineer with one year of experience in software engineering, machine learning, and data science. I’ve built end-to-end systems across web development, AI, and data pipelines, and enjoy working at the intersection of applied machine learning and real-world software applications.

View Resume
Email Me
What I Work With

General Purpose

  • Python
  • Java
  • C

Web & Markup

  • JavaScript
  • TypeScript
  • HTML
  • CSS
  • SQL

Frontend

  • React
  • Next.js
  • Vite
  • Tailwind
  • Chakra UI
  • Framer Motion

Backend & Data

  • Express
  • Matplotlib
  • D3js

Machine Learning

  • TensorFlow
  • Keras
  • PyTorch

Version Control & Deployment

  • Git
  • GitHub
  • Jira
  • Firebase
  • MongoDB
  • Vercel

Security & API

  • Postman
  • BurpSuite
  • Ghidra

IDEs & OS

  • IntelliJ
  • VSCode
  • Linux
  • MacOS
  • Windows
Experience
MORSE Corp logo

Machine Learning Engineer Co-op @ MORSE Corp

Jan 2024 - Jun 2024 • Cambridge, MA

Engineered, tested, and deployed machine learning pipelines for target tracking and imagery analysis, integrating optimized algorithms to improve accuracy and scalability. Collaborated with cross-functional teams to deliver production-ready features for defense applications. Built data processing and large-scale analytics tools using Python and SQL to generate automated model performance dashboards.

PythonPandasNumPyScikit-LearnMatplotlibSeaborn
Vision Technologies Inc. logo

Software Engineering Intern @ Vision Technologies Inc.

Jun 2022 - Nov 2022 • Washington, D.C.

Developed and maintained software integrating facial recognition to center speakers on conference cameras. Built tools for data management, quality assurance, and system diagnostics to support deployment and ongoing performance. Assisted with telecom and AV system upgrades at U.S. Senate Office Buildings and FDIC Arlington. Collaborated with engineering teams to track project milestones, resolve technical issues, and support on-site installations.

CQuality AssuranceMicrosoft Excel
NU Systematic Alpha logo

Member @ NU Systematic Alpha

Sep 2022 - May 2023 • Boston, MA

Researched, developed, and backtested quantitative trading strategies. Applied statistical analysis and Python to build equity factor models. Collaborated with team to optimize systematic investing approaches.

PythonProbabilityStatisticsMachine Learning
Projects
See More!

NEUoverflow

A Q&A platform for Northeastern University students to ask questions, share knowledge, and connect with peers. Used Agile methods team with sprint planning, stand-ups, and iterative development.

ReactTypeScriptMongoDBREST APIChakra UI

AI Wildfire Prediction

A machine learning model that predicts wildfire risk using weather and vegetation data. Developed with Python, PyTorch, TensorFlow, and scikit-learn.

PythonPyTorchTensorFlowMachine LearningPandas

Unix Shell

A custom Unix shell implementation that supports most commands, piping, and redirection. Built with C, demonstrating understanding of system calls and process management.

CUnixProcess ManagementData Structures

About Me

Profile photo

Hi, I'm Liam! I'm a software engineer who enjoys creating things and working with others. I love to collaborate on projects and share what I know with other people. Most of my work is centered around machine learning, artificial intelligence, and full stack development, however, I'm always looking for new technologies, ideas, and ways to keep improving my skills!

When I'm not coding, I like to stay active with road cycling, running, lifting, and backcountry skiing during the winter. Training helps me push my limits and improve, but more than anything, it gives me a routine that keeps me sharp and balanced during long stretches of programming.