Full-Stack to AI: A Developer's Career Evolution
Reflections on evolving from a full-stack developer to an AI/LLM specialist, and advice for developers considering the same path.
Hi, I'm
I take products from vague idea to shipped — owning discovery, roadmap, and the build itself. 8+ years across B2B SaaS and AI products, working daily with frontier models, agents, and local inference. Available for product and engineering engagements.
A selection of projects I've built — from AI-powered products to scalable web applications serving millions of users.
A timeline of my professional journey — building products end-to-end, from requirements and roadmaps to shipped, scaled systems.
Own the path from high-level client requirements to shipped platform on an AI agent system for Dubai real estate analysis — assessing doability, scoping what to build (and what not to), making architecture calls, and delivering. Built an MCP-based intelligence layer over product analytics, sales, and user-behavior data that suggests development tickets, turning usage data directly into roadmap input.
Led AI-powered content tools serving enterprise clients, and shipped the SEO Agent starting from a one-line brief — running discovery with content writers and SEO specialists to define quality, then building it. Drove engineering-process improvements and AI development-tooling adoption across the team.
Led a distributed team — technically and on the product side — across six SaaS products: LSTN (AI Transcription for Ipsos & Nielsen), ElephantsApp (Mental Wellness), WellShared (AI Content Generator), Palomer AI (Multi-Agent Script Generator), Re-View (Behavioral Research), and Cineticket (Ticketing for Universal & The Space cinemas in Italy). Owned requirements gathering, feature planning, and prioritization while staying hands-on in the codebase.
Worked with startups and enterprises building web and mobile applications. Specialized in React ecosystem, AI/ML integration, and modern JavaScript. Notable projects: Innovite (Startup Feasibility App with LEAN canvas), Meetups App (ML Matchmaking platform).
Optimized React applications using LazyLoading and performance techniques, improving application speed by 25%. Worked on enterprise-level web applications for various clients.
Thoughts on AI engineering, software architecture, and building products that scale. I write about what I learn along the way.
Reflections on evolving from a full-stack developer to an AI/LLM specialist, and advice for developers considering the same path.
Practical guidance on when and how to fine-tune LLMs, based on real-world consulting experience with enterprise clients.
Deep dive into the architecture and engineering decisions behind building AI products that handle millions of requests monthly.
Have a project in mind? Looking for AI/LLM integration expertise? Or just want to chat about technology? I'd love to hear from you.
Lahore, Pakistan 🇵🇰
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