Malik Saad Hayat
Malik Saad Hayat (known online as saadhtiwana) is a Polyglot Software Engineer based in Islāmābād, Pakistan, specializing in full-stack development, backend architecture, applied AI engineering, AI agents and multi-agent systems, and DevOps.[1] He is an active open-source contributor with real-world production deployments.[2]
Saad currently works as a Polyglot Software Engineer at CCRIPT and is a co-founder of the open-source Go tooling organization GoVerta. He is an active contributor to the Cloud Native Computing Foundation (CNCF) and the Linux Foundation (LFX), with a strong focus on code quality.[3]
About
Saad focuses on the gap between a working demo and a system that holds up in production, which he considers the point where most engineering careers stall. His work centres on building software that survives real traffic, failure and scale rather than software that only looks finished.
As a polyglot engineer, Saad works comfortably across several languages and layers of the stack. On the backend he builds distributed systems and microservices in Go and Spring Boot, favouring event-driven architectures, REST APIs and asynchronous processing designed for high availability. On the frontend he works in TypeScript and React, with an emphasis on performance rather than appearance alone.
A significant part of his work is in applied artificial intelligence and agentic systems. Using Python and FastAPI, Saad builds AI agents and multi-agent systems that plan, use tools, coordinate with one another and recover from failure on their own, often through the Model Context Protocol (MCP) for structured tool use. This sits alongside retrieval-augmented generation (RAG) pipelines built on embeddings and vector databases, and task-specific model fine-tuning. Underpinning these systems is a disciplined approach to LLMOps: prompt engineering, evaluation pipelines, and active control of latency and cost, monitored before deployment rather than after an incident.
His infrastructure work relies on Kubernetes on AWS for auto-scaling, Terraform for reproducible deployments, and CI/CD pipelines with observability built in from the outset. Saad is also an active open-source contributor to the Cloud Native Computing Foundation (CNCF) and the Linux Foundation (LFX), with a consistent emphasis on code quality.
Top skills
- Go (Programming Language)
- FastAPI
- Amazon Web Services (AWS)
- Large Language Models (LLM)
- Retrieval-Augmented Generation (RAG)
Services
Alongside his full-time engineering work, Saad takes on a limited number of freelance engagements. The services he provides independently are summarised below.
Backend & distributed systems
Design and development of microservices, REST APIs and event-driven backends in Go and Spring Boot, built for high availability and scale.
AI agents & LLM engineering
AI agents and multi-agent systems, RAG pipelines, vector search, model fine-tuning and LLMOps using Python and FastAPI, with evaluation and cost control built in.
Full-stack web development
End-to-end web applications with TypeScript, React and Node.js, focused on performance, reliability and clean, maintainable code.
DevOps & cloud infrastructure
Kubernetes on AWS, Terraform for reproducible infrastructure, and CI/CD pipelines with observability built in from the outset.
Developer tooling & automation
Custom developer tools, automations and AI agents that remove repetitive work and improve delivery speed across a team.
Open-source & code review
Open-source contribution, architecture consultation and code review with a consistent emphasis on quality and long-term maintainability.
Available for freelance work. Start a conversation →
Experience
The following is a summary of Saad's professional experience, in reverse-chronological order.
Polyglot Software Engineer
- Works as a polyglot software engineer in a fast-paced product environment, shipping across the stack.
- Delivers backend services, APIs, and cloud-native features as part of an iterative delivery cycle.
- Collaborates closely with the team on production systems with an emphasis on reliability and code quality.
Co-Founder
- Building and leading an open-source Go tooling organization and software studio.
- Shipping high-impact developer tools, AI automations and agents, backend systems, and modern cloud-native software.
- Active CNCF contributors shaping the future of cloud infrastructure.
- Strong believer that open source is infrastructure, and infrastructure is everything.
Software Engineer Intern
- Developed and maintained features across React and Node.js applications.
- Built reusable React components and integrated them with REST APIs served by Node.js/Express backends.
- Implemented client-side state management, form handling, and validation for production web apps.
- Worked with the team on bug fixes, code reviews, and incremental delivery of user-facing features.
Software Engineer
- Built a Go video server that streams content efficiently over slow internet connections.
- Wrote Go workers that processed video files from a queue and converted them into streamable segments.
- Helped reduce video bandwidth usage through frame skipping and caching.
- Set up and maintained a Docker Compose environment to run all services locally.
- Added Prometheus monitoring to track video performance metrics.
Education
COMSATS University Islamabad
Coursework and project work spanning data structures and algorithms, operating systems, distributed systems, and software engineering.
Projects and open-source presence
Saad is an engineer with real-world production deployments and open-source contributions. The card below is generated live from the GitHub REST API for the profile @saadhtiwana.
This is a portal to Saad's open-source work. Visit the full GitHub profile →
Writing
Saad writes about backend engineering, APIs and DevOps on Medium. Selected articles are listed below.
Why Your REST API Sucks (And How to Fix It)
The hard truths about API design that nobody talks about: pagination, versioning, error handling and the security pitfalls that quietly break production APIs.
I Hate Docker Compose (And You Should Too)
A contrarian take on why Docker Compose falls short for real-world local development, and what to reach for instead.
More articles are published on Medium. Read all articles on Medium →
Technical skills
| Domain | Technologies |
|---|---|
| Backend | Go, Spring Boot, REST APIs, event-driven architecture, async processing, microservices |
| Frontend | TypeScript, React, Material UI |
| AI engineering | Python, FastAPI, AI agents, multi-agent systems, agentic workflows, RAG, embeddings & vector databases, fine-tuning, Model Context Protocol (MCP), LLMOps |
| Infrastructure | Kubernetes, AWS, Terraform, CI/CD, observability, Docker, Prometheus |
| Open source | CNCF, LFX, code quality, developer tooling |
Contact
Saad can be reached by email. The button below opens a pre-filled Gmail compose window addressed to his inbox.
saadhtiwana@gmail.com
- GitHub: github.com/saadhtiwana
- LinkedIn: malik-saad-hayat
- LeetCode: leetcode.com/saadhtiwana
- Medium: @saadhtiwana
Frequently asked questions
Who is Malik Saad Hayat?
Malik Saad Hayat, known online as saadhtiwana, is a Polyglot Software Engineer based in Islāmābād, Pakistan. He specializes in backend architecture, full-stack development, applied AI engineering, AI agents and multi-agent systems, and DevOps, and is an active open-source contributor to the CNCF and the Linux Foundation (LFX).
What is saadhtiwana known for?
saadhtiwana is the online handle of Malik Saad Hayat. He is known for building production-grade backend systems in Go and Spring Boot, full-stack applications in TypeScript and React, and AI agents, multi-agent systems and RAG pipelines in Python and FastAPI. He uses the same handle on GitHub, LeetCode and Medium.
What does Saad Hayat do with AI agents?
Saad builds AI agents and multi-agent systems that plan, use tools, coordinate with one another and recover from failure autonomously, often using the Model Context Protocol (MCP) for structured tool use. He pairs them with retrieval-augmented generation (RAG), model fine-tuning and LLMOps practices such as evaluation pipelines and latency and cost control.
Where did Malik Saad Hayat study?
Malik Saad Hayat studied at COMSATS University Islamabad, where he completed a Bachelor of Science in Computer Science with an A grade.
Which technologies does Saad Hayat specialize in?
Go, Spring Boot, TypeScript, React, Python and FastAPI, plus AI agents, multi-agent systems, RAG, large language models (LLMs) and the Model Context Protocol. His infrastructure stack includes Kubernetes, AWS, Terraform, Docker and CI/CD with observability.
Is Malik Saad Hayat available for freelance work?
Yes. Saad takes on freelance engagements in backend and distributed systems, AI agents and LLM engineering, full-stack web development, DevOps and cloud infrastructure. He can be reached at saadhtiwana@gmail.com.
References
- ^ "About: Malik Saad Hayat." LinkedIn. Retrieved 27 June 2026.
- ^ Hayat, Malik Saad. "The gap between a demo and a production system is where most engineering careers stall." Professional summary.
- ^ "Contributions: saadhtiwana." GitHub, CNCF and LFX activity. Retrieved 27 June 2026.