TECHNICAL DIRECTION. HANDS-ON DELIVERY.

Umair Qamar

Lead the delivery.
Stay close to the code.

I help connect product intent, technical decisions and the people doing the work. I lead engineering delivery while staying hands-on across the stack.

Architecture & tradeoffs · Team leadership · End-to-end ownership

Umair Qamar at a technical session
The code. The context. The team.
Based in Pakistan. Experienced with distributed teams.A little more about me ↓

01 / HANDS-ON TECH LEAD

The whole product.
The next clear decision.

I joined Revcloud as its first full-stack engineer from Pakistan before its first customers, and later led engineering teams alongside implementation work. My experience also includes an enterprise retail engagement through Convert Digital, bringing a different set of delivery constraints.

Architecture & tradeoffsTeam leadershipEnd-to-end ownership
01 / EXPERIENCE IN CONTEXT

From early startup to growing team

At Revcloud, I worked across backend, cloud and data-platform engineering and led teams as the company grew. Technical direction stayed connected to implementation.

View the startup story ↗
02 / EXPERIENCE IN CONTEXT

Different stages, different constraints

The SRG engagement places the work in an established retail engineering ecosystem. Reliability, maintainability and safe changes shape how I approach delivery.

View enterprise experience ↗
03 / EXPERIENCE IN CONTEXT

Product decisions made explicit

With JobSprint OS, I drove requirements, iteration and review for a workflow I needed myself. Approval boundaries and continuity of records were deliberate product choices.

Explore ownership in practice ↗

02 / SELECTED ENGINEERING WORK

Different problems.
One connected skill set.

The context, my contribution,
and the decisions underneath.

03 / EXPERIENCE ACROSS STAGES

From starting small
to thinking at scale.

Scope changes.
Ownership still matters.

ENTERPRISE ENGINEERINGAustralian retail
Client assignment

Spotlight Retail Group (SRG)

Senior Software Engineer / Tech Lead

I contribute hands-on engineering and technical leadership to SRG's Australian retail engagement through Convert Digital. Working within an established engineering ecosystem means connecting implementation decisions with the wider product, the teams around it and the systems already in use.

This is engineering with enterprise constraints: interconnected systems, performance-sensitive customer experiences and changes that need to be delivered safely. Reliability, maintainability and clear technical decisions shape how I approach the work.

THE BUSINESS CONTEXT

A multi-brand retail group spanning Spotlight, Anaconda, Harris Scarfe and Mountain Designs. That breadth brings a different delivery context from building a startup's first product.

Group context, not a claim of ownership across every brand or system.
Convert Digital logo
Assignment through Convert Digital
STARTUP GROWTH

Revcloud

I joined as the first full-stack engineer from Pakistan before the startup had its first customers. My work spanned backend services, cloud infrastructure and data-platform engineering as the company grew.

Alongside hands-on development, I led engineering teams and helped connect technical decisions with product delivery.

04 / MY ENGINEERING TOOLKIT

Technologies I'm
comfortable with.

Across the interface, the services
and the infrastructure underneath.

A toolkit, not a fixed recipe. I choose technologies around the product, the team's needs and the constraints of the system.

01 / SERVICES

Backend & architecture

APIs, microservices and asynchronous systems.

  • Node.js
  • Python
  • NestJS
  • Express
  • Django
  • Event-driven architecture
02 / INTERFACES

Frontend & product

Interfaces, application state and connected workflows.

  • TypeScript
  • React
  • Next.js
  • Redux Toolkit
  • RTK Query
03 / INFRASTRUCTURE

Cloud & delivery

Serverless workflows, containers and infrastructure as code.

  • AWS
  • Lambda
  • EventBridge
  • SQS / SNS
  • Step Functions
  • Terraform
  • Docker
  • Kubernetes
  • CI/CD
  • CloudWatch
04 / DATA

Storage & data engineering

Operational data, caching and analytical storage.

  • PostgreSQL
  • MongoDB
  • DynamoDB
  • Redis
  • Amazon S3
  • Apache Iceberg
05 / APPLIED AI

Generative AI & retrieval

Connecting LLM applications with useful context through ingestion, chunking, embeddings and retrieval.

  • LLM applications
  • RAG
  • Embeddings
  • Semantic search
  • Pinecone
  • FAISS

05 / HOW I LEAD DELIVERY

Close to the code.
Connected to the team.

Good technical leadership makes
the next decision clearer.

01 / UNDERSTAND

Start with the problem.

Make the user need, constraints and success criteria explicit before choosing a solution.

02 / DESIGN

Make tradeoffs visible.

Connect the interface, service boundaries, data model and infrastructure into a coherent plan.

03 / BUILD

Stay hands-on.

Work through the difficult implementation details and help the team move with shared context.

04 / DELIVER

Close the loop.

Bring testing, rollout and operational feedback into the conversation, not just feature completion.

Making technical ideas understandable.01
Technical depth. Clear communication.02

06 / ALWAYS BUILDING, ALWAYS LEARNING

A practical foundation.
An expanding perspective.

Hands-on engineering experience, AWS credentials and formal study in AI.

Master's in Artificial Intelligence

Lahore University of Management Sciences (LUMS). In progress.

Bachelor's in Engineering

University of Engineering and Technology, Lahore.