Zeeshan Habib — DevOps Engineer
I’m an AI & iOS Engineer focused on building intelligent, user-facing products not just models or scripts, but real features people use inside apps. With 5+ years in software engineering, I specialize in bringing LLM-powered capabilities into mobile and web products. I work at the intersection of AI, mobile apps, and backend systems, turning advanced AI into practical, scalable experiences. I don’t train models from scratch. I design and engineer the systems that make AI useful in the real world. 🚀 WHAT I BUILD AI-Powered Product Features (Mobile & Web) → LLM integrations inside iOS apps for summarization, search, and smart assistance → AI features that enhance user experience, productivity, and personalization → RAG-based knowledge systems for in-app Q&A and contextual intelligence → AI copilots and assistants embedded into real products AI Systems & Automation → End-to-end LLM pipelines for document processing, classification, and routing → AI assistants for emails, tickets, and internal workflows → Custom AI APIs connected to CRMs, ERPs, and business tools Backend & Infrastructure → Python backend services (FastAPI, REST APIs) powering AI features → Scalable data pipelines and event-driven architectures → Secure API integrations and cloud deployments 🧠 TECH STACK AI & LLMs: OpenAI, Anthropic, LangChain, RAG, Vector Databases Mobile: Swift, SwiftUI, AI feature integration into iOS apps Backend: Python, FastAPI, REST APIs, Webhooks Data & Infra: PostgreSQL, MongoDB, Redis, AWS, GCP, Docker Automation: n8n, Zapier, Make, Power Automate 📈 IMPACT ✓ Built AI-powered systems used by real businesses and end users ✓ Delivered automation solutions saving teams 20–30 hours per week ✓ Developed production LLM integrations handling thousands of tasks daily ✓ Bridged AI capabilities with intuitive mobile and product experiences OPEN TO OPPORTUNITIES I’m interested in roles where I can help teams ship AI-powered product features, especially in mobile-first or user-focused applications. Open to remote roles across AI startups, product companies, and innovation teams building the next generation of intelligent apps.
Stackforce AI infers this person is a Backend-focused AI Engineer specializing in SaaS and B2B automation solutions.
Location: Lahore, Punjab, Pakistan
Experience: 5 yrs 3 mos
Skills
- Ai Integration & Automation
- Backend Development
- Payment Integrations
- Workflow Automation
- Continuous Integration
Career Highlights
- Built AI-powered systems used by real businesses.
- Delivered automation solutions saving teams 20–30 hours weekly.
- Integrated LLM capabilities into mobile applications.
Work Experience
AppsGenii Technologies
Software Engineer (3 mos)
Axelliant
iOS & AI Integration Engineer (2 yrs 5 mos)
Upwork
AI Automation Engineer (2 yrs 5 mos)
TechSwivel (Private) Limited
Software Engineer (2 mos)
BuiltInSoft
Software Engineer (2 yrs 10 mos)
Education
Computer Engineering at Khawja Fareed University of Enginnering and Technology
