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Huzaifa Tahir
@huzaifatahir290
Senior Software Engineer AI and Automation SaaS Web Apps
Pakistan
Chi sono
🚀 70+ Projects Delivered | Senior AI & Full Stack Engineer
I build AI powered SaaS platforms, workflow automation systems, and scalable web applications for startups and businesses. Specialized in LLM apps, AI agents, RAG pipelines, automation, and full stack development.
Expert in N8n, LangChain, CrewAI, FastAPI, Python, Node.js, React, Next.js, PostgreSQL, Supabase, Firebase, n8n, Make, AWS, Docker, and Stripe integrations.
I focus on scalable architecture, clean code, fast delivery, and production ready solutions that create real business impact.
Competenze
Huzaifa Tahir
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Automazioni e agenti
I will develop ai chatbots, ai agents, and workflow automation
Applicazioni web full stack
I will build full stack saas web app with ai, automation and cloud deployment
Portfolio
Esperienza lavorativa
AI automation Engineer
Tech workss • Part time
May 2021 - Present • 5 yrs 2 mos
Role: Full-Stack AI Automation Specialist As a Lead AI Automation Engineer, I architect and deploy end-to-end intelligent ecosystems for diverse business sectors. My work focuses on replacing manual bottlenecks with autonomous AI agents and seamless API workflows. Key Responsibilities & Achievements: RAG Architecture: Designed and implemented Retrieval-Augmented Generation (RAG) systems using LangChain and Vector Databases (Pinecone/Supabase) to train chatbots on private enterprise data. Workflow Automation: Built complex, multi-step automation logic using n8n and Make.com, connecting CRMs, databases, and communication tools. AI Agent Development: Developed autonomous agents for lead qualification, customer support, and data research. Custom Integrations: Developed custom Python scripts and API bridges to extend the capabilities of no-code platforms. Business Impact: Successfully automated operations for Real Estate (PropMate), Legal (Digital Lawyer), and E-commerce brands, reducing manual effort by up to 80%.
