I'm Meredith, a third-year student studying Computer Science and Neuroscience, with a minor in Math, at Northeastern University. I'm passionate about the intersection of software and the brain, especially computational modeling of neural systems.

Through co-op experiences in research labs and software development, I've built full-stack applications, automated complex molecular dynamics pipelines, written agentic AI tools to streamline computational workflows, and developed programs to simulate molecular behavior. I prioritize clean, scalable code and thrive working across interdisciplinary teams.

I'm currently seeking co-op and internship opportunities for Spring 2027, particularly in software engineering, research engineering, or health tech where I can contribute to meaningful, innovative work.

Outside of academics, I recharge with yoga, surfing, and walking my dog on the beach.

Skills & Technologies
Languages
  • Java
  • Python
  • TypeScript
  • JavaScript
  • SQL
  • Bash
  • C++
Frameworks/Libraries
  • React
  • Express
  • Spring Boot
  • FastAPI
  • scikit-learn
  • pgvector
  • Dask
  • SLURM
Tools
  • Git / GitHub
  • Supabase (PostgreSQL)
  • Jupyter
  • Sphinx
  • Intellij IDEA
  • PyCharm
  • VS Code
Cloud & DevOps
  • AWS
  • Terraform
  • Docker
  • Github Actions
Experience
January 2026 – Present
Co-op
Computational Biology Researcher (Software Development)
Dong Theoretical and Computational Chemistry Lab · Boston, MA
I develop scalable, object-oriented Python programs to automate molecular dynamics simulations and quantum chemistry workflows, significantly increasing throughput and reducing manual setup. By applying software engineering best practices, such as version control, modular design, and comprehensive documentation, I create maintainable tools used across lab projects. I also design statistical algorithms to validate model predictions and optimize data processing, collaborating closely with chemists to translate complex scientific requirements into reliable software solutions.
Python Bash Slurm (HPC)
July – August 2025
Internship
Data Analyst Intern
Mystic Seaport Museum · Mystic, CT
I analyzed visitor demographic data using Apache Superset and SQL to uncover trends that guided targeted outreach strategies. To support large-scale analysis, I integrated and managed a PostgreSQL database, and deployed Superset via Docker to create interactive dashboards and share actionable insights with stakeholders.
SQL PostgreSQL Docker
Projects
What's for Dinner
What's for Dinner
A full-stack mobile meal and workout planning app powered by an agentic AI layer that generates personalized weekly plans based on macro targets, dietary preferences, and essential amino acid completeness. Completed features include a Hono/TypeScript REST backend with a class-based service layer, shared TypeScript type definitions between frontend and backend, Supabase with pgvector, JWT authentication, and a full onboarding flow built in Expo and React Native that captures dietary preferences, self-reported deficiencies, injuries, cooking constraints, and workout preferences. In progress: real-time SSE streaming, a Groq-powered agentic meal recommendation engine with tool use, injury-aware workout scheduling with nutrition-recovery connections, and a FastAPI contextual bandit personalization sidecar that adapts recommendations over time.
TypeScript Python React Native Expo Hono FastAPI PostgreSQL Supabase
Protein Dashboard
Protein Research Dashboard
A full-stack protein research platform integrating four biomedical APIs (RCSB, UniProt, ChEMBL, Open Targets) via a parallel async fan-out architecture to surface protein structure, function, drug interactions, and disease associations in one interface. Features ML-powered similarity search using Meta's ESM-2 protein language model to generate sequence embeddings stored and queried with pgvector cosine similarity. Built with Spring Boot and React, with JWT authentication, a hybrid JPA/JdbcTemplate persistence layer, Docker containerization, and automated deployment to AWS via Terraform and GitHub Actions CI/CD.
Java Python Spring Boot FastAPI React pgvector REST API PostgreSQL Docker AWS (Terraform)
Clock Synchronization Component
Clock Synchronization Component
I developed microsecond-accurate time synchronization infrastructure for CubeSat flight software using NASA's F Prime framework in C++, supporting Northeastern’s Satellite Lab. The system implemented dual-mode synchronization via ground station commands and GPS PPS signals, integrating Linux PPS kernel support for reliable Raspberry Pi deployment.
C++ F Prime Linux Raspberry Pi
Sanguine
Sanguine
I co-developed Sanguine, a multiplayer game featuring a core model, GUI view, and multiple controllers to enable seamless multi-player functionality. Leveraging object-oriented design principles ensured organized, scalable code for this complex application.
Java MVC GUI Object-Oriented Design
Contact

I'm actively looking for co-op and internship opportunities. Whether you have a role in mind, want to collaborate, or just want to connect, feel free to reach out.

wanta.m@northeastern.edu