Software Engineer, Leap Program
Microsoft
Jan 2025 - May 2025
My name is Syscily Brown and I'm a lifelong learner who taught myself to code. I build AI-powered applications using React and TypeScript and love creating solutions that truly serve their audience.
What makes me different? Before becoming a software engineer, I was an elementary school teacher and Mathematics Program Manager. My superpower is making complex topics easy to understand.
I bring that same approach to Culture Coded Dev, a blog series where I break down data structures and algorithms using culturally grounded metaphors and real-world examples. I learn best when concepts connect to things I already know and care about β whether itβs a BeyoncΓ© concert or the TikTok algorithm β and I use that lens to help others grasp technical topics in a way that actually sticks.
Recently, I was featured on Season 2 Episode 6 of The Web Dev Challenge, where I built Skincare.ai β an AI-powered skincare consultation app β in just 4 hours on camera.
May 2025
constsyscilyTheDev={name:'Syscily Brown',skills:['React', 'Next.js', 'Node.js', 'JavaScript', 'TypeScript', 'Python', 'AI Integration', 'AWS'],continuousLearner:true,solutionBuilder:true,selfStarter:true,hireable:function() {return(this.continuousLearner&&this.solutionBuilder&&this.selfStarter&&this.skills.length>=5);};};
Software Engineer, Leap Program
Microsoft
Jan 2025 - May 2025
Software Engineering Fellow
Headstarter
July 2024 - December 2025
Full Stack Developer
Transparent Salary Project
July 2022 - May 2024
Math Program Manager and Teacher
K12 Public Schools
July 2015 - January 2025
constproject={name:'Sweat Check Connect',tools: ['Next.js 15', 'TypeScript', 'Tailwind CSS', 'shadcn/ui', 'Radix UI', 'Lucide Icons', 'Geist Fonts],myRole:Full Stack Developer,Description: Sweat Check Connect is a fitness-focused social media app designed to motivate users through community challenges, shared progress, and AI-powered recommendations. Built with the Next.js App Router and styled using Tailwind and shadcn/ui, the app features custom workout check-ins, challenge tracking, and social connections. While still under construction, core functionality like user profiles and challenge flows are actively in development with a multi-phase rollout planned, including Spotify and AI integrations.,};
constproject={name:'Skincare.ai ',tools: ['Next.js', 'React 19', 'Google Gemini AI', 'Algolia', 'Material-UI', 'Tailwind CSS 4', 'TypeScript],myRole:Technical Lead / Full Stack Developer,Description: Conceptualized and built an AI-powered skincare consultation platform in under 4 hours during a high-pressure Web Dev Challenge. Designed an interactive ingredient-based knowledge base mapped to skin concerns, enabling Gemini AI to deliver accurate, real-time product recommendations through a conversational chat interface. Integrated Algolia for lightning-fast product search with advanced filtering by ingredient, price, and product specs. Led full-stack development from idea to deployment, showcasing rapid prototyping and AI integration.,};
constproject={name:'HU15 Forever',tools: ['Next.js', 'React 19', 'Tailwind CSS', 'ShadCN/UI', 'TypeScript', 'Vercel', 'Google Forms],myRole:Full Stack Developer,Description: Built a vibrant class reunion website to connect and celebrate Howard Universityβs Class of 2015. Designed and developed a dynamic interface to share event updates, collect classmate information, and highlight memories. Collaborated with classmates for continuous content updates and feedback-driven UX improvements.,};
constproject={name:'Chefmate.ai',tools: ['Next.js', 'React 19', 'Google Generative AI', 'Algolia', 'MUI', 'Tailwind CSS', 'TypeScript],myRole:Full Stack Developer,Description: Built AI-powered culinary assistant application using Next.js and Google Generative AI to provide personalized recipe customizations, ingredient substitutions, and step-by-step cooking guidance. Integrated Algolia search engine for lightning-fast recipe discovery with advanced filtering and real-time search suggestions. Developed conversational AI chat interface enabling natural language queries for nutrition analysis, dietary modifications, and culinary technique explanations.,};
constproject={name:'VidSenseAI',tools: ['Next.js', 'React 19', 'Google Generative AI', 'Material UI', 'Tailwind CSS', 'RapidAPI', 'TypeScript],myRole:Full Stack Developer,Description: Built AI-powered video analysis application using Next.js and Google Generative AI with RAG architecture to generate contextual responses from YouTube video transcripts. Implemented vector-based retrieval system processing YouTube transcripts through RapidAPI for accurate timestamp-based content querying and navigation. Developed interactive chat interface enabling natural language queries about video content with AI responses linked to specific video moments.,};
Masters Degree
Relay Graduate School of Education
2015 - 2017
Bachelor's Degree
Howard University
Magna Cum Laude
2011 - 2015
Full-Stack Web Devlopment Bootcamp
Springboard
2020-2021