01FULL-STACK SYSTEMS
Next.js, Node.js, TypeScript, PostgreSQL
Full-Stack Engineer & Founder at DevSquad. Building scalable cloud applications, RAG pipelines, and automated business operations that eliminate technical and operational friction.
01FULL-STACK SYSTEMS
Next.js, Node.js, TypeScript, PostgreSQL
02AGENTIC WORKFLOWS
Custom AI Assistants, RAG & LLM Integrations
03AUTOMATION PIPELINES
n8n Orchestration, Webhooks, API Sync
04SAAS & MVP DELIVERY
Production Architectures, Founder @ DevSquad
About Me
I approach engineering as a product and operations discipline. Before choosing a framework or model, I look for the bottleneck: where information gets lost, decisions slow down, or repetitive work drains attention.
That means building dependable full-stack foundations, clear interfaces, and automation that people can trust. Through DevSquad, I turn those constraints into focused software that can ship, evolve, and solve a concrete operational problem.
// LIVE SYSTEM STATUS
Delivering production MVPs, custom business dashboards, and full-stack client web applications.
Experimenting with multi-agent orchestration, contextual retrieval (RAG), and local LLM pipelines.
Architecting self-healing n8n pipelines, webhook listeners, and automated data enrichment tools.
Selected work
High-density systems presented through the constraints, decisions, and operational flows behind them.
Agentic AI & RAG
Problem: Teams lose time searching across fragmented knowledge sources before they can act on operational questions.
Solution: A retrieval-augmented agent layer grounds responses in indexed business context and routes complex requests through explicit tool workflows.
Digital Commerce
Problem: Small business operations need one dependable surface instead of disconnected product, customer, and workflow tools.
Solution: A full-stack business platform connects structured data, authenticated workflows, and responsive product interfaces.
Developer Tools
Problem: Developers need a focused way to organize, retrieve, and reuse implementation knowledge without losing context.
Solution: A structured code workspace brings searchable snippets, project context, and reusable references into one developer-facing interface.
Automated Operations
Problem: Lead operations lose accuracy when capture, validation, qualification, and follow-up depend on manual handoffs.
Solution: An n8n pipeline validates incoming leads, scores them, updates CRM records, and triggers targeted communication.
Technical index
Verified tools and architectural patterns used across product interfaces, backend systems, AI workflows, and delivery infrastructure.
INDEX // 01 FRONTEND ENGINEERING
INDEX // 02 BACKEND & SYSTEMS
INDEX // 03 AI & AUTOMATION
INDEX // 04 DATA & INFRASTRUCTURE
Focused on selecting the right tool for the architectural bottleneck rather than chasing framework trends.
Experience
Hands-on product engineering, founder-led delivery, and AI-enabled systems in production-oriented work.
Founder
DevSquadFull Stack Developer
TechTicks
Self-Employed · Full Stack AI Engineer
Freelance
Study / foundations
Academic grounding and technical training aligned with full-stack systems, data, and applied problem-solving.
01 / learning record
Virtual University of Pakistan
Statistics, machine learning foundations, data analysis, and practical software implementation.
Ongoing
02 / learning record
TEVTA · 3 Years
Technical fundamentals and applied engineering discipline across a three-year diploma program.
Completed
03 / learning record
NAVTTC
Foundational communication and practical language learning through a certified course.
3 Months
04 / learning record
Professional Technical Training · Mechanical & Civil
Hands-on drafting and design workflows across mechanical and civil drawing systems.
Completed
Capabilities
From first architecture decisions to dependable production operations.
CAPABILITY // 01
Product ideas often stall between fragile frontend mockups and disconnected backends.
End-to-end web engineering using Next.js, React, Node.js/FastAPI, and relational schemas.
Fast, maintainable, production-ready web applications with clean auth and data architecture.
CAPABILITY // 02
Generic chatbot prompts fail when applied to proprietary business documents and workflows.
Custom Retrieval-Augmented Generation (RAG), vector stores, and contextual agents.
Domain-specific AI assistants that query proprietary data and return reliable, structured actions.
CAPABILITY // 03
Teams waste hundreds of hours manually syncing data between CRMs, forms, and communication channels.
Autonomous n8n workflows, custom webhook pipelines, and API integrations.
Self-healing operational pipelines that eliminate manual data entry.
CAPABILITY // 04
Founders burn capital building bloated prototypes instead of testing core market value.
Rapid scoping, database design, and rapid MVP deployment via DevSquad methodologies.
A functional, scalable V1 product deployed in weeks, not months.
Get In Touch
Let's discuss architecture, scope, and timeline. Typical response within 24 hours.
Direct touchpoints