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codeforge_am

Mohammed Ahmed

@codeforge_am

AI and Full Stack Developer RAG AI Agents FastAPI and Nextjs

Éthiopie
Anglais, Amharique
Certaines informations sont présentées en anglais.
À propos de moi
I’m a full stack developer focused on building modern, scalable web applications. I work with Next.js, TypeScript, Node.js, and Express to create fast and reliable systems. I’ve built real-world projects including e-commerce platforms, real-time chat apps, CRM app and secure authentication systems using Firebase and JWT. I enjoy solving problems, fixing bugs, and improving application performance. Whether it’s frontend issues, backend logic, or API integration, I aim to keep solutions clean and easy to maintain. I’m always open to discussing new ideas or helping improve existing projects.... Plus d’infos

Compétences

c
codeforge_am
Mohammed Ahmed
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Développement de chatbots d'IA
I will build an ai chatbot trained on your custom documents and data
De30 $US / projetPlus de détails
Applications Web Full stack
I will build an ai agent using langchain and langgraph
De10 $US / projetPlus de détails

Expérience professionnelle

Personal_portfolio project

Saas chatbot

Personal portfolio project • Indépendant

Sep 2026 - Sep 2026 • 0 mos

Developed a production-ready, multi-tenant SaaS application that allows users to upload custom documents (PDFs, DOCX, TXT) and have real-time, context-aware conversations with an AI using Retrieval-Augmented Generation (RAG).Key Responsibilities & Architecture:Frontend & BFF Layer: Built a responsive UI using Next.js implementing a Backend-for-Frontend (BFF) pattern to streamline data delivery and user session management.Asynchronous Backend: Developed a high-performance asynchronous API using FastAPI, SQLAlchemy, and PostgreSQL to manage multi-tenant user data and conversation histories safely.AI & Vector Pipeline: Orchestrated document processing pipelines with LangChain, utilizing Cloudflare R2 for cost-efficient raw document storage and Qdrant Vector DB for ultra-fast semantic similarity searches.Real-Time Streaming & Tasks: Implemented WebSockets for low-latency, token-by-token AI text streaming. Integrated Celery with Redis to offload heavy file chunking and embedding generation to background tasks.SaaS Monetization: Integrated Stripe with secure asynchronous Webhooks to handle subscription tiers, usage billing, and payment processing.