Explorar las categorías
Español
$
USD
Conéctate con tu IA
Abdul Mannan
@devmannan
Level 2
Expert Agentic AI, Langchain, GenAI, N8N, RAG, LLM, Full Stack Engineer
Pakistán
Español, Inglés, Chino, Japonés, Alemán, Francés, Holandés, Italiano, Sueco, Árabe, Noruego, Danés
Sobre mí
I am a Senior Software Engineer with 9+ years of experience in Web App Development and cutting-edge AI/LLM Integrations.
My expertise covers full stack AI development where I design, build, and deploy scalable applications while integrating advanced AI features into existing platforms.
I specialize in custom chatbots (RAG & Agentic RAGs using LangChain, LangGraph, LangFlow, LangSmith) and workflow automations with tools like n8n, Make.com, and Monday.com to simplify and optimize business processes.
Habilidades
Abdul Mannan
USD 20/hora
desconectado •
Tiempo medio de respuesta: 1 hora
Revisa mis servicios
Sitios web y software con IA
I will develop ai saas app ai chatbot ai web app ai agent ai application developer
Automatizaciones y agentes
I will be generative ai ml llm ai agent ai chatbot python and full stack developer
¿Quieres trabajar por horas?
Dile a Abdul Mannan qué necesitas.
USD 20
/
horaPorfolio
Experiencia laboral
.png){kind=logo}
AI Lead / Full Stack Engineer
Fiverr • Trabajador autónomo
Feb 2019 - Present • 7 yrs 9 mos
Full-Stack Engineer, Solution Architect, and AI/ML Specialist with extensive experience designing and delivering scalable web platforms, cloud-native applications, and intelligent AI solutions. Full-Stack Development: React, Next.js, Node.js, Python, FastAPI, PostgreSQL, MongoDB, Microservices, REST/GraphQL APIs, Event-Driven Architectures, Authentication (JWT/OAuth), Payment Integrations, Docker, Kubernetes, AWS, GCP, and Vercel. AI & Generative AI: LLM Integration (OpenAI, Claude, Gemini), RAG Systems, LangChain, LangGraph, AI Agents, Chatbots, Vector Databases (pgvector, Pinecone, Weaviate), Prompt Engineering, NLP, Computer Vision, Embeddings, and MLOps. Successfully delivered 50+ products including SaaS platforms, marketplaces, enterprise dashboards, AI assistants, e-commerce solutions, booking systems, recommendation engines, and knowledge-base chatbots for clients across North America, Europe, Asia, and Latin America. Led and mentored engineering teams of 3–30 developers, managing end-to-end product delivery from architecture and strategy to deployment and scale. Core Technologies: React, Next.js, Node.js, Python, FastAPI, LangChain, LangGraph, OpenAI API, Claude API, PostgreSQL, pgvector, Microservices, AWS.
71 Reseñas
| (70) | ||
| (1) | ||
| (0) | ||
| (0) | ||
| (0) |
Desglose de calificaciones
- Nivel de comunicación del Freelancer
- Calidad de la entrega
- Valor de la entrega
1-5 de 71 reseñas
Ordenar por
Más relevante
kristisan
Estados Unidos
Colaboración continua
Excellent work on the n8n invoice and receipt automation. It has been connected to my CRM, and the CRM has also been well customized by Abdul. He also has great expertise in Node.js along with MongoDB. Multi-routing, PayPal, and Stripe payments have been integrated smoothly. The updated workflow now...
Útil?
serenityt1
Estados Unidos
Colaboración continua
So I was stuck on some AI workflows and really confused how to implement it in MCP along with REST API’s. But i am quite impressed how abdul well coded and documented my exisiting workflows and actually makes AI to respond correctly. So if you are looking for an AI engineer with deep understanding, ABdul is your guy.
Útil?
jesussalin
Estados Unidos
Colaboración continua
Abdul is a talented developer, he delivered Clean Claude Code-based multi-agent chatbot with knowledge base retrieval. I wish him best of luck !!!
Útil?
albertslaugtr
Alemania
Colaboración continua
Abdul is a really talented developer with strong coding skills. He did a great job using Claude Code and integrating it with GoHighLevel workflows, and the final solution was clean, practical, and easy to understand.
Útil?
michaelgencare
Estados Unidos
Colaboración continua
Good Job Abdul. My AI Story Generation Agent turned out really well, with a clean Python workflow, LLM/API integration, configurable prompts, structured JSON-style output, tone/length controls, validation, and an easy local testing setup.
Útil?
