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Hunain Ali
@hunainali5
Level 1
Building scalable digital solutions that empower businesses to grow
Pakistán
Hindi, Inglés, Urdu, Sindhi, Alemán
Sobre mí
🌟 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
USD 25/hora
desconectado •
Tiempo medio de respuesta: 1 hora
Revisa mis servicios
Aplicaciones de escritorio
I will do data structure and algorithms tasks and projects for you
Automatizaciones y agentes
I will do web scraping, data mining, automation any website
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Dile a Hunain Ali qué necesitas.
USD 25
/
horaPorfolio
Experiencia laboral
AI Engineer
Chorate AI • Tiempo completo
Nov 2025 - Present • 6 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 • Tiempo completo
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 • Tiempo parcial
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.
32 Reseñas
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1-5 de 32 reseñas
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