I work across frontend, backend, cloud, AI, and infrastructure to build systems end to end.
I'm Faraz Ali Ahmad, a Software Engineer. I have experience building web applications, cloud infrastructure, and AI systems.
I've worked on web applications, internal tools, AI systems, and client products. At Morvion, I worked across products including Dreilokale, Incontro, the company website, CRM, and their AI systems, contributing to new features, performance improvements, integrations, and production systems.
A timeline of my work experience and the impact I've created along the way.
Full Stack Engineer
Software Engineer
Full Stack Engineer
Machine Learning Intern
Machine Learning Intern
A blend of technical expertise and problem solving to build scalable, real world solutions.
Crafting performant, accessible, and responsive user interfaces with modern tools, component design systems, and fluid animations
Architecting scalable server-side systems, asynchronous task queues, REST & WebSocket protocols, and resilient microservices.
Designing multi-tenant relational schemas, performant query pipelines, caching hierarchies, and real-time event subscriptions.
Building autonomous multi-agent loops, retrieval-augmented generation (RAG) pipelines, prompt architectures, and production model integrations.
Provisioning containerized environments, zero-downtime CI/CD workflows, automated monitoring, serverless architectures, and Linux runtime systems.
Ensuring production resilience through automated test suites, end-to-end quality assurance, security audits, and latency profiling.
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Website performance is one of those things that looks simple on the surface and turns out to be a mix of a dozen small decisions underneath. In one of my recent projects, I improved the Lighthouse performance score from 59 to 99. I also reduced the initial data downloaded on page load from around 103 MB to 2.8 MB. That change alone made the site feel dramatically faster, and it reminded me of an important truth: performance is usually won by removing unnecessary work, not by adding clever tricks.
A deep dive into state machines, tool-calling pipelines, structured outputs, and fallback patterns when deploying LLM agents to production systems.
Concrete techniques to slash JavaScript bundles by 97%, eliminate Cumulative Layout Shift (CLS), and achieve sub-50ms TTFB at the edge.
Website performance is one of those things that looks simple on the surface and turns out to be a mix of a dozen small decisions underneath. In one of my recent projects, I improved the Lighthouse performance score from 59 to 99. I also reduced the initial data downloaded on page load from around 103 MB to 2.8 MB. That change alone made the site feel dramatically faster, and it reminded me of an important truth: performance is usually won by removing unnecessary work, not by adding clever tricks.
A deep dive into state machines, tool-calling pipelines, structured outputs, and fallback patterns when deploying LLM agents to production systems.
Concrete techniques to slash JavaScript bundles by 97%, eliminate Cumulative Layout Shift (CLS), and achieve sub-50ms TTFB at the edge.
I'm always open to interesting projects, freelance work, or just a good tech conversation.