8+ years

Saad Ul Hassan. Senior Full-Stack AI Engineer.

Building production AI products and scalable software systems. I architect, build and ship production software end to end: full-stack products, distributed systems, AI agents, RAG workflows and cloud infrastructure. Product Engineering / AI Systems / Backend & APIs / Cloud Architecture

Saad Ul Hassan, Senior Full-Stack AI Engineer

Verified engineering outcomes

8+ years
Senior production engineering
~1 hour → minutes
ERP workflow processing
Nearly 99%
Successful transaction processing

capabilities

I own the system, not just a layer.

I work across the product stack, from architecture and backend systems to AI workflows, cloud infrastructure and production reliability.

01Full-Stack Product Engineering

Architecting and shipping production web and mobile products across frontend, backend, APIs, data and third-party integrations, with strong ownership from requirements through deployment.

React / Next.js · TypeScript · Node / NestJS · Python · PostgreSQL

02Applied AI & Agentic Systems

Building customer-facing AI capabilities using LLM workflows, agents, RAG, retrieval, tool calling, structured outputs, validation, evaluation, guardrails and graceful failure handling.

LLMs · AI Agents · RAG · Retrieval · Evaluation

03Backend & Distributed Systems

Designing APIs, data layers, asynchronous workflows and distributed services with attention to scalability, idempotency, caching, performance and operational reliability.

REST / GraphQL · PostgreSQL · Redis · RabbitMQ · Event-Driven Systems

04Cloud, Performance & Reliability

Taking systems into production with AWS, containers, CI/CD, observability, performance optimization, security controls and resilient failure handling.

AWS · Docker · Kubernetes · CI/CD · Observability

05Technical Leadership

Providing technical direction through system design, architecture decisions, code reviews, mentoring, incident response, release planning and cross-functional collaboration.

System design · Code review · Mentoring · Incident response

Production AI is a reliability problem.

applied ai in real products

The hard part is not calling a model. It is building the retrieval, orchestration, validation and failure paths that make AI dependable enough for customer-facing products.

Agentic workflow

Context → tools → structured result

  1. 01 Retrieve the right product and domain context
  2. 02 Orchestrate multi-step model and tool interactions
  3. 03 Validate structured outputs against expectations
  4. 04 Retry, fall back and degrade gracefully
  5. 05 Observe behaviour in production and improve it

Grounded knowledge

RAG and retrieval systems

Documents are chunked and embedded, relevant context is retrieved, and responses are grounded against that context before reaching the user.

Documents / Retrieval / Context / Response

Designed to improve answer relevance, consistency and trust while reducing unsupported AI output.

about

Strongest where the path is still ambiguous.

Winner of Stellar Community Fund #11 Winner of Stellar Community Fund #11 Stellar Community Fund Round 11 Winner ZIG3V2 / 2022
  • Senior Full-Stack AI Engineer at Toptal

  • Technical Lead on keyscommunity.co.uk

  • Production AI: agents, RAG, retrieval, evaluation and guardrails.

  • Backend architecture, distributed systems and AWS cloud infrastructure.

Education

Bachelor of Computer Science

University of Engineering & Technology (UET), Taxila

GPA 3.39

Postgraduate Diploma in Cyber Security

Preston University, Islamabad

GPA 4.00

Readme

I am a Senior Full-Stack AI Engineer with 8+ years of experience building production software across SaaS, marketplaces, construction technology, transportation and AI-enabled products.

I am strongest at the point where product requirements are still ambiguous: understanding the business problem, choosing the architecture, building the system, taking it into production and keeping it reliable as it evolves.

My work spans TypeScript, React/Next.js, Node/NestJS, Python, PostgreSQL, AWS and distributed systems, alongside Applied AI including agents, RAG, retrieval, structured outputs, evaluation, guardrails and production LLM workflows.

I care about engineering that creates real outcomes: maintainable architecture, reliable systems, fast products, secure integrations and teams that can continue moving after the first release.

selected work

Engineering ownership behind real products.

Production AI, automation and software platforms where I owned meaningful problems across architecture, implementation, delivery and reliability.

Product names are used where approved. Proprietary source code, internal data, private topology and unsupported metrics remain excluded.

The wider record of work

experience

A career built through production ownership.

  1. Aug 2025 – Present

    Current

    Senior Full-Stack AI Engineer

    Toptal

    Architecture and end-to-end delivery across AI, SaaS, marketplace and automation engagements.

    The Agent.Press engagement alone spans its own agent platform, ERP automation for Reis Contracting, AI and Google Business Profile workflows for Local Falcon and an internal Slack assistant for Anaconda, alongside KEYS Community and BookRevs.

    • Product architecture
    • AI agents & RAG
    • Full-stack delivery
    • Technical leadership
  2. May 2022 – Jul 2025

    Senior Full-Stack Software Engineer

    Embrace IT

    Web and mobile products, microservices and cloud platforms across React, Node.js, Python and AWS.

    • Full-stack & mobile
    • Microservices
    • AWS & Kubernetes
    • Production operations
  3. Nov 2021 – Apr 2022

    Software Engineer / Frontend Lead

    Saufik

    Projul frontend architecture, leading three React developers and one UX designer.

    Improved project performance by 80%.

    • React architecture
    • Performance
    • Team leadership
    • E2E testing
  4. May 2018 – Oct 2021

    Software Engineer

    Ineffable Devs

    Core VanGo workflows: bookings, payments, user management, authentication and a TypeScript migration.

    Reduced initial load time by approximately 30%.

    • Product delivery
    • Payments
    • React
    • Authentication

Stack, education and recognition

keep in touch

Have a difficult product or engineering problem?

Whether it is a senior engineering role, an ambitious product, or a production system that needs stronger technical ownership, I am always open to a good conversation.

Toptal profile Download résumé