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faizhassan11

Faizdevloper

@faizhassan11

Ignite Your Brand With AI Solutions and Custom Website

Pakistan
Anglais, Ourdou, Français, Espagnol
Certaines informations sont présentées en anglais.
À propos de moi
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... Plus d’infos

Compétences

f
faizhassan11
Faizdevloper
hors ligne • 
Temps de réponse moyen de 3 heures

Voir mes services

Intégrations IA
I will build ai chatbots and ai agents for your business
Sites web IA & Logiciel
I will develop a custom ai chatbot using chatgpt, openai, and gpt4

Portfolio

Expérience professionnelle

SYSTEMIQ

Full Stack AI Engineer

SYSTEMIQ • Temps plein

Nov 2020 - Present5 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.