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:'TubeChat',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.,};
constproject={name:'myTrainer+',tools: ['Next.js', 'React 19', 'Convex', 'Vapi', 'Google Generative AI', 'Clerk', 'Tailwind CSS', 'Radix UI', 'TypeScript],myRole:Full Stack Developer,Description: Built conversational AI fitness application using Next.js and Google Generative AI to generate personalized workout and diet plans through natural language interaction. Integrated Vapi voice AI agent for seamless user conversations, enabling hands-free plan generation and enhanced user experience. Implemented comprehensive fitness tracking system with Convex backend for real-time progress monitoring and plan history management.,};
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