Alfred Siby Cyriac
Aspiring Software Engineer
Aspiring Software Engineer
Computer Science student at CUNY Queens College as part of the NSF S-STEM Scholars program. Located in the New York City Metropolitan Area. Constantly trying to hone my programming skills through various full-stack projects. In this portfolio you can find my previous experiences, personal projects, and client work. Feel free to leave me a message if you are interested in working together to bring a vision to life!
Summer 2026
Enchancing the web experience for the Barron's and MarketWatch teams.
September 2023 - December 2025
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
Assisted with quality assurance and application testing for a mobile SDK to ensure reliability and enhance the user experience.
July 2024 - September 2024
Developed foundational software for early-stage NYC startups, including landing pages, databases, and workflow automations.
Expected Graduation: May 2027
Activites: National Science Foundation (NSF) S-STEM Scholar, Campus Ambassador
Relevant Coursework: Software Engineering, Data Structures & Analysis of Algorithms, Object-Oriented Programming, Web Technologies, Advanced Probability and Mathematical 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
Multilingual legal document assistant built for immigrants in Queens, NY. Engineered a multimodal AI pipeline using Gemini 2.5 Flash to photograph, extract, and explain official documents in 16 languages in under 30 seconds. Integrated ElevenLabs multilingual TTS to verbally deliver explanations in the user's native tongue, and Google Places API to surface real nearby legal aid and social services based on the user's Queens zipcode.
Tech Stack: Next.js, TypeScript, Google Gemini 2.5 Flash, ElevenLabs API, Google Places 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