Saad Hassan Razi
Full Stack Engineer · AI Integration Specialist · Automation Architect
I design and build scalable web applications, AI-powered products, and intelligent automation systems that solve real business problems — from prototype to production.
Professional Summary
Senior full-stack engineer with a focus on scalable systems, AI integration, and business automation
Who I Am
I'm a full-stack engineer with 4+ years of professional experience delivering web applications, AI-integrated products, and complex automation systems for startups and enterprise clients. My technical foundation spans the full stack — from architecting PostgreSQL schemas and REST/GraphQL APIs to building pixel-perfect React and Angular frontends.
Over the past year I've expanded into AI product development — building RAG pipelines, integrating OpenAI and LangChain into production systems, and designing intelligent dashboards that turn raw business data into actionable insights.
I work closely with clients, founders, and product teams to ship reliable software on time. Clean architecture, readable code, and zero technical debt are non-negotiable for me.
Full-Stack Systems
End-to-end architecture from database schema to UI — React, Angular, Next.js on the front; Node.js, FastAPI, and PostgreSQL on the back.
AI-Powered Products
RAG pipelines, LangChain integrations, OpenAI API, and semantic search — turning LLM capabilities into production-grade features with real business value.
Automation Architecture
Multi-system automation using Zapier, n8n, Make, and Google Apps Script — eliminating manual workflows and connecting SaaS tools at scale.
Startup & Client Work
Built for speed and reliability. I understand that startups need pragmatic solutions fast — without sacrificing code quality or scalability.
Tech Stack
A battle-tested toolkit for modern web apps, AI integrations, and automation systems
Frontend
Backend
AI & ML
Cloud & DevOps
Automation
Mobile
Engineering Case Studies
Production-grade systems designed and built to solve real business problems at scale
Problem:Organizations operating across multiple departments struggled with fragmented approval processes, manual task routing, and zero auditability — creating compliance risks, operational bottlenecks, and costly human errors at scale.
Problem:Enterprise teams spent hours manually searching through hundreds of internal documents, PDFs, and wikis. Critical institutional knowledge was effectively inaccessible, causing repeated research cycles and slow onboarding for new team members.
Problem:Non-technical stakeholders at SMBs lacked the ability to extract actionable insights from raw sales data, spreadsheets, and reports — creating a bottleneck dependency on data analysts for every business question and delaying strategic decisions.
Problem:Distributed teams required a reliable, low-latency communication platform that persisted message history, supported structured channels, and scaled horizontally beyond a single server instance — without vendor lock-in.
Problem:Field teams and remote workers lacked a reliable mobile productivity tool that functioned seamlessly offline, synchronized data across devices in real time, and integrated with existing cloud workflows — without requiring separate iOS and Android codebases.
Work Experience
Professional history and key engineering accomplishments
Full Stack & Automation Engineer
Lead engineer for client-facing automation systems and full-stack web applications. Responsible for end-to-end architecture, API integration strategy, and delivery of complex multi-system workflows for international clients.
React Developer
Front-end engineer on a product team building data-driven web applications. Delivered feature work in React and TypeScript while collaborating closely with designers and backend engineers across agile sprints.
Angular Developer
Engineer on enterprise Angular applications handling complex business logic, NgRx state management, and multi-module architecture for B2B SaaS products serving 50+ organizations.
Data Annotator
Contributed to AI model training pipelines by labeling, reviewing, and quality-assuring structured and unstructured datasets for computer vision and NLP model development.
Certifications & Learning
Continuous learning and professional development across the full-stack spectrum
Let's Work Together
Available for freelance projects, startup collaborations, and full-time opportunities
Ready to Build Something?
Whether you're a startup founder who needs a full-stack MVP, an Upwork client with a complex integration challenge, or an enterprise team looking for a senior engineer — I'm here to deliver production-quality work on time.