I'm
Lucas Reydman

Full-stack conference website for Pride STEM Canada, a national nonprofit dedicated to celebrating and advancing the contributions of the 2SLGBTQ+ community in STEM. The organization hosts an annual nationwide conference, now in its sixth year, bringing together 250+ delegates from across Canada for keynote speakers, research presentations, networking events, and career development sessions. As senior developer on a team course project, I led core architectural decisions and owned implementation of the site's most complex features. Built on Next.js with the App Router for full-stack server and client rendering, with React and React Bootstrap powering the component-driven UI and Framer Motion handling smooth page and section animations. Conference registration is fully integrated with Stripe, supporting multiple delegate tiers with secure payment processing. Firebase handles user authentication and real-time data storage, enabling dynamic content management across the site. Resend powers the transactional email pipeline, sending confirmation and notification emails to registered delegates. CSS Modules enforce scoped, collision-free styling across components. The entire codebase is version controlled and deployed through a GitLab CI/CD pipeline. The site serves as the public-facing home for the conference, covering registration, the event schedule, presentation submissions, sponsorship and partnership opportunities, governance documentation, and organizational information. All of it is designed to reflect the mission of building a more inclusive and representative STEM community across Canada.

Full-stack Android mobile application connecting students and part-time workers with short-term job opportunities. Built across two Agile iterations with a team of 8 using strict test-driven development, pair programming, and continuous integration through GitLab. Features role-based access for two user types, employees and employers, each with a tailored dashboard and feature set. Employees can search and filter jobs by salary range, job type, and location (with Google Maps integration), apply with a custom cover letter, track their submission statuses, and receive push notifications for nearby opportunities. Employers can create detailed job postings with requirements, location, employment type, and salary range, review incoming applicants, and accept or decline applications. Both dashboards surface performance insights and application statistics. Also integrates PayPal for payment processing. Firebase powers authentication, real-time data, and Firestore CRUD operations throughout. Code quality enforced through SonarQube refactoring across both iterations, reducing issues from 119 to zero. Architecture follows SOLID principles and applies Singleton, Facade, and Observer design patterns to keep the UI layer cleanly separated from data and auth logic.

Cross-platform mobile application built for the academic research community, addressing the core challenges researchers face today: information overload from the sheer volume of publications, time constraints that make reading every relevant paper impossible, fragmented discovery across scattered databases and repositories, and a lack of meaningful tools for peer collaboration on existing platforms. Built as a team introductory project over a full semester using React Native and Expo Go, with Supabase providing the backend database, Node.js handling server-side logic, and GitLab managing version control and CI/CD. The platform provides researchers with a centralized, personalized feed of relevant papers tailored to their fields and interests, allowing them to interact with content and peers through likes, comments, and shares. A standout feature is audio playback of research papers, enabling on-the-go consumption for researchers juggling experiments, grant writing, and teaching. The interface was designed iteratively in Figma, with documentation and project proposals written in LaTeX. Project coordination tracked through Jira across the full development lifecycle. The platform's overarching goal is to foster meaningful academic collaboration, accelerate knowledge dissemination across disciplines, and become the go-to space for researchers to stay current, engage with peers, and make significant contributions to their fields.

MLB BvP Betting is a responsive research tool for the Player to Record a Hit market, built around historical career batter-vs-pitcher matchup data. For any selected slate date, the app loads the MLB schedule and probable starters, builds projected lineups from official lineup data when available or estimated active-roster order when not, and pulls career BvP splits for each batter facing the opposing starter. It filters the board to meaningful samples, computes AVG, OPS, and estimated hit probability, and ranks the strongest upcoming matchups by career batting average weighted for sample size using AVG × min(AB / 30, 1). The interface separates games into Upcoming, In Progress, and Settled states, refreshes silently in the background, and lets users scan the slate through sortable tables on desktop or card-based mobile views. A Top 4 Plays module highlights the best edges and automatically builds a Daily Double, an optional Secondary Double when four plays qualify, and a Smash Double when a pair also clears stronger OPS and hit-history thresholds. The app also includes data-quality safeguards to remove suspicious team-level aggregate lines occasionally returned by the MLB Stats API, exports filtered results as CSV on desktop, uses the viewer’s local browser time for game times, and is built with Next.js App Router, React 19, Tailwind CSS v4, and Vercel.

Fully configurable fantasy sports draft lottery simulator built with pure vanilla HTML, CSS, and JavaScript, with no frameworks or build step, running entirely in the browser. A six-step setup wizard guides commissioners through league configuration: name, team count, team names, lottery structure, combination weights, and draft rounds. The lottery engine uses recursive state enumeration to compute exact analytical odds for every team at every pick position, handling any number of drawn picks and by-record assignments. Commissioners assign any number of lottery combinations to each team, and the odds table updates instantly to reflect the precise probabilities. Draft pick trades are tracked through a full pick ownership system, so every pick in every round can be reassigned to any team before the lottery runs. The reveal experience is a full-screen animated sequence: quick iterations burn through run 1 through N-1, then the final official result unfolds with a countdown timer, automatic pick reveals from the bottom up, a dynamic podium for the top lottery picks, and upset alerts when a team jumps or falls out of their expected seed range. Results and the complete multi-round draft order can be downloaded as text files. All data persists to localStorage, and league configurations can be reconfigured at any time via the setup wizard. Deployed to GitHub Pages.

Vanilla web app that answers the question every student asks at the end of term: what do I need on my final? Enter your course name, final exam weight, and target grade, then log each completed assessment (midterms, quizzes, labs, assignments, essays, and more) with its weight and grade received. The app calculates your current overall grade, remaining course completion percentage, best possible final grade, and the exact score needed on your final to hit your goal. All entries auto-save to local storage so nothing is lost on page refresh, and the layout is fully responsive across desktop and mobile.