am. AMMAR MUNIR Explore the 3D archive
AM–001 / THE COMPLETE PORTFOLIO

Ammar Munir Senior Software Engineer

Three years of turning complex ideas into useful software.
AI, backend systems, and full-stack products. Based in Pakistan.

Let’s build something
SUBJECT IDENTIFICATION

Profile

Portrait of Ammar MunirSUBJECT / AM–001
DESIGNATIONSenior Software
EngineerEXPERIENCE03 yearsBASE OF OPERATIONSPakistanCURRENT ASSIGNMENTAsk Arq

An engineer’s logic.
An artist’s eye.

DECLASSIFIED
THE PERSON BEHIND THE SYSTEMS

About Ammar

I make complicated things feel simple.

I’m a senior software engineer with 3 years of experience across AI, backend systems, and full-stack products. I connect data, interfaces, and infrastructure to turn complex ideas into useful software.

As Founding Engineer at Ask Arq, I’m building an AI-powered security platform from the ground up—shaping the product, owning its engineering, and turning complex needs into useful experiences.

KNOWN FOR

End-to-end ownership.
Practical AI. Thoughtful systems.

Beyond the terminal

I sketch and paint. The same attention to structure and detail follows me into the software I build.

Explore the sketchbook
A RECORD OF BUILDING & SHIPPING

Experience

DEC 2025 — PRESENT

Ask Arq CURRENT

Founding Engineer
Building the product from the ground up, owning engineering and turning security needs into practical capabilities.

DEC 2024 — NOV 2025

Inovaqo

Software Engineer
Delivered AI products and MVPs, turning business challenges into useful, end-to-end solutions.

JUN 2024 — NOV 2024

Ginkgo Retail

Software Engineer
Strengthened an enterprise commerce platform and improved API performance by 30%.

JUL 2023 — NOV 2023

FAST NUCES

Teaching Assistant
Mentored students in programming, problem-solving, and software engineering practice.

TOOLS OF THE TRADE

Skills & education

01 / INTELLIGENCE

Useful AI, grounded in context.

RAG · LangChain · LlamaIndex · Pinecone · Hugging Face · NLP · Transformers · OpenAI · Llama · Whisper

02 / SYSTEMS

The machinery underneath.

Python · FastAPI · Django · Flask · PostgreSQL · MySQL · MongoDB · Redis · RabbitMQ · Celery · React · Next.js · JavaScript · C++

03 / ENGINEERING PRACTICE

Architecture, quality & ownership.

System design · API design · Performance tuning · Automated testing · Pytest · Selenium · Git · Code review

ACADEMIC RECORD

BS Computer Science

FAST NUCES, Lahore · 2020–2024
Dean’s List — 6th & 8th semesters

FIELD TESTED
AI SECURITY OPERATIONS / FOUNDING ENGINEER

Ask Arq

From security questions to meaningful action.

Ask Arq product interface showing its conversational security assistant and security toolsPRODUCT SCREENSHOT / ENLARGE

An AI-powered security platform that connects business tools and context to help teams understand risk, prioritize work, and move compliance forward.

FastAPINext.jsRAGPostgreSQL
Explore arqanum.ai
CASE FILE 01 / ASK ARQ

Building Ask Arq

The problem

Security teams work across disconnected tools, evidence, and obligations. Finding an answer is only the start; deciding what matters and acting on it is the harder part.

Founding Engineer · Building Ask Arq

  • Build Ask Arq as its Founding Engineer, taking ideas from early exploration to working product.
  • Own engineering across the platform, connecting product experience, intelligent workflows, and reliable delivery.
  • Turn complex security and compliance needs into clear, practical product capabilities.
  • Shape the technical foundation and keep the product evolving as the business grows.
OUTCOME

A single place to ask security questions, understand priorities, and coordinate work across evidence, questionnaires, and risk.

AI FOR REHABILITATION

Joint Logic

Care that continues beyond the consultation.

Joint Logic concept interface with illustrative demo dataCONCEPT INTERFACE / ENLARGE

An AI rehabilitation assistant connecting patient conversations, recovery reminders, and consultant oversight.

LangChainFastAPINext.jsTwilio
Visit Joint Logic
CASE FILE 02 / JOINT LOGIC

Building Joint Logic

The problem

Rehabilitation support extends beyond appointments. Patients need accessible guidance and reminders, while consultants need a clear view of ongoing engagement.

My contribution

  • Develop the patient-facing AI experience and the systems that support it.
  • Make ongoing engagement easier through accessible messaging and reminders.
  • Give consultants a clearer view of patient activity and follow-up needs.
  • Connect the product journey across conversations, operational tools, and care-team workflows.
OUTCOME

A connected patient-support workflow with conversational access and a dashboard for consultant oversight.

AI RESTAURANT DISCOVERY

Review Munch

A clearer picture of where to eat.

Review Munch concept interface with illustrative demo dataCONCEPT INTERFACE / ENLARGE

A UK restaurant-discovery platform that brings reviews, ratings, and sentiment together to help diners make more informed choices.

Next.jsFastAPIPineconeSelenium
Visit Review Munch
CASE FILE 03 / REVIEW MUNCH

Building Review Munch

The problem

Choosing a restaurant can mean sorting through conflicting opinions across several platforms. Diners need the useful patterns, not another wall of reviews.

My contribution

  • Build the end-to-end experience connecting restaurant feedback with useful answers.
  • Turn unstructured reviews into clear themes and sentiment insights.
  • Develop conversational discovery that makes detailed feedback easier to explore.
  • Bring the interface, AI capabilities, and supporting systems together as a cohesive product.
OUTCOME

An easier way to explore UK restaurants and understand what diners are saying before choosing where to eat.

OPEN-SOURCE DEVELOPER TOOL

Env Scanner

Less configuration archaeology. More building.

Env Scanner concept interface with illustrative demo dataCONCEPT INTERFACE / ENLARGE

A Python CLI that finds environment variables across your codebase and generates an .env-example file.

PythonASTClickPytest
View package on PyPI
CASE FILE 04 / ENV SCANNER

Building Env Scanner

The problem

Environment configuration is often scattered across source files and framework settings. Manually maintaining an example file is easy to overlook.

My contribution

  • Implement Python variable detection using AST parsing and regular expressions.
  • Support configuration formats including YAML, JSON, TOML, and INI.
  • Add framework-aware support for Django, Flask, FastAPI, and Pydantic.
  • Package a Click-based command-line interface and validate parsing behavior with Pytest.
OUTCOME

A published developer tool that makes environment configuration easier to discover and document.

BEYOND THE DEMO

Production engineering

From architecture to deployment.
Ownership beyond the launch.

01 / AWS & CLOUD ARCHITECTURE

Infrastructure that serves the product.

EC2 · ECS · RDS · S3 · Secrets Manager · Terraform
Compute, containers, managed databases, storage, and secrets.

02 / DELIVERY & QUALITY

Repeatable, tested releases.

Docker · Kubernetes · CI/CD · Git · Pytest
Deployment pipelines, automated tests, and environment configuration.

03 / OBSERVABILITY & PERFORMANCE

Understand what happens in production.

Prometheus · Grafana · CloudWatch
Metrics, dashboards, monitoring, and performance tuning.

04 / SYSTEM DESIGN & SECURITY

Build around real operating constraints.

API design · Redis · RabbitMQ · Celery
Asynchronous workloads, secure configuration, and dependable AI pipelines.