WHO WE ARE

Built by Engineers. Driven by AI.

Two Stack AI was founded on a simple belief: the best technology comes from the fusion of proven software engineering and intelligent AI systems.

FOUNDER

Dr. Asad Naeem

Dr. Asad Naeem

Dr. Asad Naeem is a dedicated data analytics professional with over a decade of hands-on experience in applying AI, machine learning, and advanced data science techniques for business improvement and optimisation.

Possessing a rich blend of academic excellence with a PhD and Post-doctorate in Data Analytics, and practical leadership in top-tier organisations, he specialises in driving innovation by turning complex data into clear insights and actionable strategies.

Post Doctorate BioTech, BBSRC — University of Nottingham, UK
PhD — 2009 Data Analytics (Image & Video) — University of Nottingham, UK
Masters — 2002 Computer Science — Northeastern Illinois University, Chicago
Bachelors of Engineering University of Engineering & Technology, Lahore
Artificial IntelligenceEnd-to-End SolutionsMachine LearningDeep LearningLLMsNLPComputer VisionFull-Stack DevelopmentReact NativeNode.jsPythonNext.jsCloud ArchitectureAzureAWSData ScienceProcess MiningDevOpsAPI DesignReliability Engineering
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THE TEAM

Our Leadership.

Ahmad Dar

Ahmad Dar

Senior Solution Architect Mobile / Cloud Design & Power Platform Lead

MICT, Western Sydney University (AU)

A cloud design specialist with extensive experience in architecting scalable enterprise solutions across Azure, Dynamics 365, and Power Platform environments. Ahmad holds a Master's in ICT from Western Sydney University and has designed and delivered cloud-based business applications across organisations in both Australia and Canada. His certified expertise in cloud infrastructure, platform development, and systems integration enables Two Stack AI to build robust, scalable solutions that seamlessly connect data-driven insights to real operational workflows.

Oussama Iqbal

Oussama Iqbal

Business Intelligence Leader Business Intelligence & Web Applications Lead

MEng, Edith Cowan University (AU)

A business improvement specialist with deep experience in operational excellence, asset strategy, and data-driven decision-making across the mining and facilities sectors. Oussama holds a Master's in Electrical Engineering from Edith Cowan University and has applied machine learning techniques, constraint programming, and optimisation tools to enhance maintenance strategies and resource planning across major industrial operations. His capabilities extend to mobile and web application development, health and safety analytics, financial reporting, procurement and inventory automation, and material optimisation.

Abdullah Umar

Abdullah Umar

Software Development Engineer Backend & Data Security Lead

BS Computer Science, FAST-NUCES

A backend engineering specialist with hands-on experience building enterprise-grade data security, privacy, and access-control systems at scale. Abdullah brings certified expertise in Deep Learning (DeepLearning.AI), containerisation (Docker & Kubernetes), and database systems (MySQL, PostgreSQL), alongside production experience in Go, backend architecture, and distributed systems. His background leading AI/Data Science initiatives as Head Technicals at Google Developer Student Club FAST Islamabad reflects a consistent track record of combining engineering rigour with applied AI.

Mrs. Seemab

Computer Networks & Cyber Security Lead Technical Lead

Masters in Computer Science

A computer science specialist with deep expertise in network architecture, cyber security, simulation modelling, and distributed systems. Mrs. Seemab leads Two Stack AI's simulation and network engineering practice, designing models that predict system behaviour under complex, real-world conditions. Her work underpins the company's process mining, digital twin, and operational simulation capabilities — turning theoretical data science into practical engineering tools that clients can deploy and trust.

Umber Mushtaq

Human Resource And Administration HR And Administration

Masters in Behavioural Psychology & HR

A people-first HR professional with a strong foundation in behavioural psychology, Umber leads talent acquisition, team culture, and organisational development at Two Stack AI. Her background in behavioural science informs a data-aware approach to workforce management — aligning hiring strategy, performance frameworks, and employee engagement with the company's fast-paced engineering culture. Umber ensures that as the technical team scales, the human side of the organisation scales with it.

EXPERTISE ON DEMAND

Specialist Consultants.

Our network of domain consultants extends Two Stack AI's reach across every major technology discipline. Available for project engagements, advisory, and implementation support.

Artificial Intelligence

LLMs, NLP, computer vision, generative AI, AI strategy & governance

Machine Learning & Deep Learning

Model training, fine-tuning, MLOps, neural networks, predictive modelling

Data Engineering

ETL pipelines, data lakes, real-time streaming, Kafka, Spark, Airflow

Data Science & Analytics

Statistical modelling, BI dashboards, data visualisation, Power BI, Tableau

Full-Stack Development

React, Next.js, Node.js, TypeScript, Python, REST APIs, GraphQL

Mobile Development

React Native, Expo, iOS, Android, offline-first, cross-platform apps

Cloud Architecture

Azure, AWS, GCP, serverless, microservices, infrastructure as code

DevOps & CI/CD

Docker, Kubernetes, GitHub Actions, Terraform, monitoring, deployments

Cyber Security

Data privacy, access control, DSPM, compliance frameworks, penetration testing

IoT & Edge Computing

Sensor networks, real-time telemetry, GPS tracking, NFC, embedded systems

ERP & Systems Integration

Oracle NetSuite, Dynamics 365, SAP, REST APIs, bi-directional sync

Voice AI & Telephony

Speech-to-text, text-to-speech, call handling, IVR, real-time transcription

Process Mining & Automation

Workflow analysis, RPA, intelligent automation, operational optimisation

GIS & Spatial Analysis

Geospatial modelling, mapping, location intelligence, Leaflet, PostGIS

Reliability & Asset Engineering

Predictive maintenance, condition monitoring, asset lifecycle, risk modelling

The Origin

We saw too many companies struggling with AI projects that failed — not because the AI was wrong, but because the software around it was broken. Models deployed without monitoring. Prototypes that couldn't scale. "AI features" bolted onto legacy systems like afterthoughts.

Two Stack AI was born from the conviction that AI and software aren't separate disciplines — they're two halves of the same stack. When you build them together, from the ground up, you get solutions that are more reliable, more intelligent, and more impactful.

Our Philosophy

Fusion First

We don't bolt AI onto software. We architect systems where intelligence is structural — woven into the foundation, not glued on top.

Engineering Rigour

AI is only as good as the system it lives in. We apply the same discipline to model deployment that we apply to production code: tested, monitored, and reliable.

Honest Technology

We'll tell you when AI isn't the answer. Not every problem needs a neural network. Sometimes a well-designed algorithm and clean architecture is the smarter move.

Continuous Intelligence

Our systems learn and improve post-deployment. We build feedback loops, monitoring, and retraining pipelines into every AI system we deliver.

OUR VALUES

What We Stand For.

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Rigour Over Hype

We build things that work, not things that demo well. Every decision is backed by engineering evidence.

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Partnership

Your success is our success. We embed with your team, share knowledge, and build your internal capability.

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Australian Made

Proudly based in Australia, serving clients globally. Local expertise, international standards.

Want to Work With Us?

Whether you're a client or a collaborator — we'd love to hear from you.

Get in Touch