f
faizhassan11

Faizdevloper

@faizhassan11

Ignite Your Brand With AI Solutions and Custom Website

Paquistão
Inglês, Urdu, Francês, Espanhol
Algumas informações são exibidas no idioma inglês.
Sobre mim
I’m a Full-Stack AI Developer with hands-on experience building AI-powered web applications, chatbots, automation tools, and intelligent systems that solve real business problems. I specialize in end-to-end AI solutions — from idea to deployment. 🚀 What I Do Best ✅ AI & LLM-based Applications (ChatGPT, LLaMA, Gemini, Groq) ✅ Full-Stack Web Development (Frontend + Backend) ✅ AI Chatbots & Virtual Assistants ✅ RAG Systems (Vector Databases, Embeddings, Retrieval) ✅ Automation & AI Agents ✅ API Development & Integration ✅ Streamlit, Flask, FastAPI Applications ✅ Database & Cloud-Ready Solution... Saiba mais

Habilidades

f
faizhassan11
Faizdevloper
offline • 
Tempo médio de resposta: 3 horas

Conheça meus serviços

Integrações de IA
I will build ai chatbots and ai agents for your business
A partir deUS$ 100 /projetoMais detalhes
Software e Sites de IA
I will develop a custom ai chatbot using chatgpt, openai, and gpt4
A partir deUS$ 125 /projetoMais detalhes

Portfólio

Experiência profissional

SYSTEMIQ

Full Stack AI Engineer

SYSTEMIQ • Período integral

Nov 2020 - Present • 5 yrs 8 mos

Architected and deployed production-ready, multi-agent conversational platforms using LangChain and LangGraph, wrapping advanced AI logic into scalable FastAPI backend services. Engineered end-to-end RAG pipelines connecting high-performance vector databases with unstructured knowledge bases, designing efficient data schemas and streaming ingestion workflows. Developed full-stack streaming interfaces using modern web technologies, incorporating Server-Sent Events (SSE) and WebSockets to deliver real-time, token-level UI rendering for seamless user experiences. Optimized system latency and response accuracy by tuning embedding models, implementing advanced prompt engineering frameworks, and structuring deterministic JSON outputs for reliable frontend state management. Managed cloud-native deployments on AWS by containerizing services with Docker, setting up robust API gateways, and implementing observability patterns to monitor system health and LLM token usage.