Full-Stack Developer with React/Next.js Expertise

Kevin Yameogo

Queens, NY 929-***-**** *************@*****.*** Portfolio linkedin.com/in/kevin github.com/kevin Education

St. John’s University Queens, NY

Bachelor’s of Science in Computer Science, GPA: 3.76 Cum Laude Aug 2022 – May 2026

• 3rd Place, St. John’s Hacks (Toltiq Track)

• Coursework: Data Structures & Algorithms, OOP, SQL, Web Development, Operating Systems Projects

ADAPT IQ Next.js, TypeScript, React, OpenAI GPT-4, Office.js, Tailwind CSS Feb 2026

• Built an AI-powered PowerPoint add-in delivering real-time executive insights, speaker notes, and research suggestions directly within PowerPoint via Office.js, with a responsive UI built on the Next.js App Router

• Engineered a REST API endpoint using Next.js App Router to handle audio transcription and slide content analysis, enabling voice-driven slide generation via Whisper + GPT-4

• Persisted presentation insights using localStorage and Office.js across Mac and Windows with multi-layered fallback strategies, achieving zero feature degradation across both platforms

• Exported curated notes in 3 formats (PDF, Word, Excel) using jsPDF, docx, and xlsx, eliminating post-meeting manual copy-paste workflows for end users

UptimeChecker Next.js, TypeScript, Supabase, Stripe, Redis/QStash, Vercel April 2026

• Built a real-time monitoring dashboard in Next.js and TypeScript centralizing health analytics and incident tracking across 20+ services, with a multi-channel alerting UI spanning email, Slack, Discord, and Teams

• Automated uptime monitoring using Next.js API routes, Supabase, and QStash on 1-14 day intervals, logging latency, status codes, and 1KB response samples per service for downtime analysis

• Enforced 1 ping per service every 30 seconds using Upstash Redis and Supabase queues, delivering incidents across 4 channels via Resend webhooks to eliminate duplicate notifications PlanVoy React, FastAPI, PostgreSQL, Redis, OpenAI GPT-4o, Docker May 2026

• Designed a GPT-4o prompt engineering pipeline with schema-constrained JSON outputs, enabling reliable generation of long-form, structured itinerary data (4K+ tokens) across recommendations, logistics, and contextual travel guidance

• Implemented Redis caching with SHA-256 hashed keys, reducing GPT-4o response times from 4s to under 50ms for cache-hit queries

• Offloaded itinerary email delivery to FastAPI background tasks, reducing API response time by 97% (from synchronous SMTP blocking to an immediate HTTP 202) while maintaining reliable async delivery via PostgreSQL trip lookups

• Reduced local environment setup from multi-step manual installs to a single command using Docker Compose across 4 containerized services with health checks and volume persistence VCRTS — Vehicular Cloud Real-Time System Java, Swing, MySQL Dec 2025

• Architected a distributed Vehicular Cloud Computing platform using a multi-threaded TCP socket server enabling real-time job scheduling across networked idle vehicles

• Implemented a fault-tolerant job recovery system with checkpoint-based state preservation, automatically reassigning interrupted jobs to replacement vehicles with zero data loss

• Reduced scheduling conflicts to zero using a Java FIFO queue with configurable redundancy levels, surfaced across 3 role-based Swing GUIs built on an MVC architecture

• Eliminated cold-start data loss using MySQL and a dedicated DatabaseManager handling CRUD operations for 4 entity types, automatically restoring full application state on every startup Technical Skills

Languages: Java, Python, Typescript, JavaScript, HTML/CSS Frameworks: Next.js, React, Node.js, FastAPI, Tailwind CSS Developer Tools: Git, Github, VS Code, PyCharm, Eclipse, Vercel, Docker Databases: PostgreSQL, MySQL, Redis, Supabase

Libraries: React query, pandas, NumPy, openAI

Contact this candidate