Francis M

@mwanzia_musyoka

Full Stack Next js Developer for Web Apps and AI

Kenya
English, Swahili
About me
I build web apps that run real businesses, using Next.js, TypeScript, Python and PostgreSQL. Recent work: - An OCR + LLM pipeline that processes traffic tickets at 98% accuracy, with Stripe billing and automatic notifications - Frameline, a management system for studios: bookings, payments, staff and gear - Riverflow, a multi-seller marketplace I help with business websites, custom business systems, SaaS MVPs and AI features like chatbots, RAG and document extraction. You get clear communication, code you own, and updates in your timezone (I am on UTC+3).... Read more

Skills

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mwanzia_musyoka
Francis M
Offline • 
Average response time: 1 hour

See my services

AI Integrations
I will add ai chatbot, rag or llm features to your next js app
From$200 / projectMore details
Custom Websites
I will build a saas mvp or custom web app in next js
From$300 / projectMore details

Portfolio

Work experience

Flexile_Software Services

Software developer

Flexile Software Services • Part-time

Jan 2024 - Present • 2 yrs 10 mos

- Built an end-to-end traffic-ticket processing pipeline — OCR + LLM data extraction, automated lease/customer matching, card billing via Stripe, and multi-party notifications — operating at 98% accuracy and eliminating manual matching, billing, and transfer-form work for the operations team. - Shipped a maintenance-receipt extraction system: upload → LLM-based field extraction → automatic matching to vehicle and service records in PostgreSQL, replacing manual data entry for fleet operations. - Rebranded and rebuilt the customer-facing portal in Next.js/TypeScript, shipping the new UI without service disruption while coordinating with a small engineering team. - Implemented payment flows (card billing, webhook callbacks, idempotent reconciliation) across both the customer portal and internal operations tools. - Worked across the stack: Prisma schemas on PostgreSQL, Next.js API routes, file-upload pipelines for vehicle photos and documents, and transactional email/SMS notifications.