Incoming DevOps Intern @ Wolters Kluwer | Incoming Tech Lead @ Code4Community | RTC member | AWS Certified Developer and Professional Scrum Master | CS and Cognitive Psych at Northeastern University

Undergraduate Junior pursuing a B.S. in Computer Science and Cognitive Psychology @ Northeastern University

Former Quality Assurance Tester Co-Op at the Massachusetts Medical Society (New England Journal of Medicine)

Zealous for knowledge to evolve leadership and technical skills.

Programming Languages: Java, HTML, CSS, Typescript, JavaScript, SQL, Python, PHP

Technologies: ReactJS, React Native, ExpressJS, NodeJS, DynamoDB, JEST, JUnit, Postman, Linux, Selenium, Cypress, AWS, Azure, Github Actions CICD, Jenkins, Docker, Docker Compose, Linux, Windows

Certifications: AWS Developer Associate (Amazon Web Services), AWS Cloud Practitioner (Amazon Web Services), Professional Scrum Master I (Scrum.org), Lead 360 Blueprint (Northeastern University)

LinkedIn

https://github.com/Code-4-Community/fcc

A new donation technical system and admin portal for Fenway Community Center to improve donor retention and reuptake.

Technologies: ReactJS, ExpressJS, NestJS, NodeJS, PostgreSQL, JEST, TypeORM, Stripe API

My contributions so far as a backend developer:

• Stripe Payments: Implemented end-to-end Stripe flows in NestJS with 2 REST endpoints (intent, webhook) in payments.controller.ts, service logic in payments.service.ts, and mapping utilities in mappers.ts; authored documentation in STRIPE.MD and added unit tests.
• Donations Domain: Modeled the Donation entity donation.entity.ts, wired TypeORM in data-source.ts, and shipped 3+ migrations for users/donations in migrations; exposed 4 API endpoints in donations.controller.ts with service logic in donations.service.ts.
• Testing & Quality: Expanded test coverage with unit/integration/e2e suites, including donations.e2e-spec.ts, donations.controller.spec.ts, payments.service.spec.ts, and mappers.spec.ts; updated jest.config.ts.
• API Surface & Validation: Delivered 2 REST endpoints total, 2+ migrations, 3+ DTOs, and mapper utilities; tightened input validation for payment intents/subscriptions and improved error handling to harden the API.

https://github.com/SamNie2027/Search_NEU_agentic

An AI-powered course search tool for Northeastern University undergrad students that uses TF-IDF, semantic embeddings, and ReAct agents to help students find relevant courses.

Technologies: Python, PyTorch, FastAPI, Semantic Embeddings, Sentence Transformers, Agent Workflows (ReAct)

My contributions as a model developer:

• Built hybrid course search blending keyword and semantic matching to surface top 3 results from 5.5k courses
• Implemented agent-guided assistant with automatic search strategy selection using deterministic decoding and 6-step max for consistent, fast responses
• Generated 768-dim vector embeddings for all courses using sentence-transformers in precompute pipeline to improve search responsiveness under load
• Added verification tests and scripts to validate embeddings and data integrity, increasing demo stability
• Designed prompt routing logic to direct code-like queries to keyword search and conversational queries to semantic search

https://github.com/Code-4-Community/shelter-link

The goal of Project ShelterLink is to develop a user-friendly, map-based application to help LGBTQ+ youth locate winter shelters in Boston.

Technologies: React Native, ExpressJS, AWS DynamoDB, NodeJS, JEST

My contributions as a full-stack developer:

• Added documentation for front-end types and discussed further type iterations
• Implemented and applied custom fonts
• Changed components to match high fidelity design
• Collaborating to create a mobile application to help homeless LGBTQ+ youth locate winter shelters
• Developed full-stack on React-Native components and Express endpoints, including code reviews
• Working with AWS cloud and DynamoDB database
• Utilized Postman to cover 100% of backend endpoints, created Github Actions CI/CD to incorporate tests
• Tested backend using JEST with 98% Stryker coverage, incorporated into Github Actions CI/CD
• Created Cypress tests for end-to-end user flows, enabling automated UI checks in CI/CD

https://github.com/Oasis-NEU/s24-group16

Demo: https://youtu.be/jW2umXdV-qs Code Overview: https://youtu.be/UOTxTe2UXdA

A better alternative to Canvas for connecting with other people in the same class as you!

Technologies: HTML, CSS, Javascript, Bootstrap 5, SQL (mySQL), PHP

My contributions as project manager and full-stack developer:

• Led ideation meetings to draft concept and user flow

• Designed front-end using Figma, implemented designs with HTML, CSS, and Bootstrap

• Developed back-end with user login and sessions and database editing using PHP and SQL

• Dynamic web pages and user feedback using PHP in creative ways

• Thorough documentation

https://github.com/SamNie2027/ScholarlyMail2

A Spring Boot service for managing scholarly articles built mainly to explore Java and DevOps practices

Technologies: Java, Maven, Spring Boot, Couchbase, MongoDB, JUnit 5, Docker, Docker Compose, Jenkins

My contributions as a solo backend developer:

• Built Spring Boot RESTful API for scholarly article management with CRUD operations and read-state toggle
• Migrated persistence layer from MongoDB to Couchbase using Spring Data Couchbase and dynamic properties
• Wrote JUnit 5 integration tests with MockMvc and Testcontainers for real Couchbase instances with CI-safe guards
• Dockerized application and services with Compose orchestration and Couchbase init scripts for reproducible environments
• Implemented Jenkins CI/CD pipeline with Docker-based Maven agents and Maven Wrapper for automated builds

https://github.com/SamNie2027/Ray

A hackathon project that gamified the process of donating to make charitable giving more engaging and rewarding.

Technologies: TypeScript, MySQL, Docker, Github Copilot

My contributions as an AI-accelerated backend developer:

• Applied prompt engineering using the RACE framework (Role, Action, Context, Expectation) to guide AI-generated code effectively.
• Used GitHub Copilot to create and run Jest tests, ensuring reliability and functionality of core features.
• Leveraged Copilot to write mocks and endpoints with documentation, accelerating backend development.
• Strengthened skills in reviewing and refining AI-generated code, providing feedback to improve software architecture and align with best development practices.

https://github.com/SamNie2027/InnovAIte2025

TattleTell is an app and API where the local community can report maintenance issues with a click of a button, reducing response time of maintenance issues and enabling instant recognition using Machine Learning.

Technologies: React Native, ExpressJS, Python Flask

My contributions as a full-stack app and API developer:

• Developed responsive app to take pictures and convert into files to send up application infrastructure
• Created and tested all endpoints, including the frontend, backend, and AI API
• Quickly explained concepts to team members unfamiliar with the tech stack

(no link as this repository is private)

A stack overflow copy to add features to for Fundamentals of Software Engineering

Technologies: ReactJS, ExpressJS, NodeJS, JEST, MongoDB, Bootstrap

My contributions as a full-stack developer and tester:

• Manually tested functionality and UI on Windows, MacOS, Chrome, Edge, Firefox, and Safari
• Added React components for user profiles, integrated Auth0 with login and signup pages
• Added routes with Express, manipulated user information with MongoDB, unit tested with JEST