Alfred Siby Cyriac
Aspiring Software Engineer
Aspiring Software Engineer
I am a third-year computer science student based in the New York City Metropolitan Area. Passionate about creating user oriented full-stack applications in the HealthTech and FinTech fields. Current Tech Stack: MongoDB, Express.js, React + Vite, Node.js, Tailwind CSS.
September 2023 - Present
Focus: Internal Tools
Developing software solutions to improve school efficiency, including a grade distribution system integrating third-party testing software. Automated an invoice system for school-issued device loans and returns, and led the development of an internal inventory database with data visualizations for better insights.
August 2024 - September 2024
Focus: Quality Assurance
Conducted two rounds of testing on the SDK to ensure smooth admin and developer workflows, making integration seamless. This improved client onboarding efficiency and made it easier for developers to adopt the SDK in their apps.
July 2024 - September 2024
Focus: Frontend & Data
Collaborated with New York City startups working on numerous technical projects including: web scraping data with Python BeautifulSoup and AI tools to build a database, re-designing, and modifying high-quality front-ends in WordPress with HTML and CSS.
Expected Graduation: May 2027
Relevant Coursework: Software Engineering, Data Structures, Design & Analysis of Algorithms, Object-Oriented Programming, Computer Architecture, Linear Algebra, Discrete Math & Structures, Probability & Statistics
AI-powered ingredient safety scanner. Authenticated users create a list of avodiance which include but are not limited to allergens, dietary restrictions, and religion obligations. Users can scan the product of any food product to immediately retrive it's ingredients list which is then passed to to Gemini 2.5 Flash along with avoidance list to reeive a safety report on each product. Products flagged unsafe can be added to user watchlist.
Tech Stack: React, Node.js, Express.js, MongoDB, Gemini 2.5 Flash, Tailwind CSS
AI-powered receipt management system. Authenticated users upload their receipts which gets parsed by Gemini 2.5 Flash, and automatically added to it's categorized folder. Users can search for receipts and download them at any time. Users are provided with a financial dashboard which has data visualizations and AI generated financial advise based on 30-day spending.
Tech Stack: Next.js, React, JavaScript, Supabase, Gemini 2.5 Flash, Google OAuth 2.0
Web application connecting students with peer dashers for on-campus food delivery. Implemented user authentication and real-time order tracking using Google Firebase and OpenStreetMap API with Leaflet.js for dynamic campus mapping and location-based vendor selection.
Tech Stack: JavaScript, Google Firebase, Node.js, OpenStreetMap API, Leaflet.js
Movie catalog which pulls movie credentials from TMDB API and utilizies an Appwrite backend which tracks all user searches to display analytics-driven trending content section.
Tech Stack: React + Vite, Tailwind CSS, Appwrite, The Movie Database (TMDB) API
Services include, but are not limited to: website design, development, deployment, custom domain, Google search indexing, SEO optimization, post-deployment edits, and a firewall for website security. Pricing varies based on project requirements.
React
Node.js
JavaScript
Tailwind CSS
MongoDB
Git
GitHub
Java
Python
Gemini