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Hunain Ali
@hunainali5
Level 1
Building scalable digital solutions that empower businesses to grow
Paquistão
Hindi, Inglês, Urdu, Sindi, Alemão
Sobre mim
🌟 Hunain Ali | Senior Full Stack AI Engineer & LLM Systems Architect
I design production-grade AI systems powered by LLMs and RAG. With 5+ years in backend and AI engineering, I build secure, scalable AI platforms—not just chatbots.
🚀 Expertise: RAG architectures, OpenAI-powered AI assistants, FastAPI backends, vector databases (Pinecone, Azure AI Search, FAISS), and cloud deployment (Azure & AWS).
💼 Helping startups and enterprises integrate AI strategically and at scale.
Habilidades
Hunain Ali
US$ 25/hora
offline •
Tempo médio de resposta: 1 hora
Conheça meus serviços
Aplicativos de Desktop
I will do data structure and algorithms tasks and projects for you
Automações e Agentes
I will do web scraping, data mining, automation any website
Quer trabalhar com remuneração por hora?
Diga a Hunain Ali o que você precisa.
US$ 25
/
horaPortfólio
Experiência profissional
AI Engineer
Chorate AI • Período integral
Nov 2025 - Present • 8 mos
• Architected multi-agent systems (LangGraph/CrewAI) with ReAct reasoning for the trading/fintech environment, boosting retrieval accuracy 25%. • Leading ingestion architecture on AWS/Azure for secure search across millions of financial records.
AI Engineer
Code x Valley • Período integral
Dec 2024 - Oct 2025 • 10 mos
• Architected and scaled production-grade LLM systems and MLOps infrastructure on Azure/AWS. Engineered hybrid retrieval (RAG) pipelines processing 50K+ documents to improve AI accuracy by 30%. Led the transition to highly scalable, containerized deployments using Docker and Kubernetes, accelerating deployment speeds by 40% while ensuring strict version control and reliability.
AI Engineer
Northgate Strategic Partners LLC • Meio período
Jun 2025 - Sep 2025 • 3 mos
• Led the architecture of scalable AI search and automation solutions. Built semantic indexing pipelines for 10K+ documents and multi-source search engines that boosted retrieval by 30%. Reduced manual operational workloads by 40% (at 99% reliability) through n8n workflow automation.
34 Avaliações
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1-5 fora das 34 avaliações
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shouqcs
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Recommend the project was 10/10، definitely worth working with :)
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