See the whole picture
I like understanding how applications, services, data, infrastructure, and people interact before deciding what to build.
Ideas become better
when the pieces connect.
I design platforms, connect systems, automate repetitive work, and turn rough technical ideas into practical solutions.
Platform
architecture & design
Automation
Python & workflows
AI
practical integration
Front end
responsive & accessible
system online
aziz://workspace
SYSTEM
AZIZ
design / connect / automate
API
REST
connected
CLOUD
AWS
healthy
AI
MODEL
ready
AUTOMATION
FLOW
triggered
“The interesting part is usually between the systems.”
My background is in software engineering and research, but the part I enjoy most is understanding the whole problem before choosing the technology.
01 · How I think
Understand the system.
Then make it simpler.
Turn ambiguity into structure
Incomplete requirements don’t bother me. I enjoy turning rough ideas into something concrete, testable, and maintainable.
Automate the repetitive parts
If a process keeps repeating, I usually start wondering whether software should be doing it instead.
Build for the real world
I care about reliability, observability, usability, supportability, and what happens after the prototype becomes production.
02 · What I explore
The pieces I keep coming back to.
Not a checklist of buzzwords. These are the areas where I naturally spend time designing, building, testing, and improving things.
⌘
core focus
Platform Design
Services, data flows, APIs, integrations, deployment, monitoring, and the decisions that make a platform coherent instead of accidental.
{ }build
Software & APIs
Python, C#, JavaScript/TypeScript, REST services, desktop and web applications, and integration-heavy systems.
☁connect
Cloud & Serverless
AWS, Lambda, API Gateway, databases, event-driven design, monitoring, and production operations.
AIexplore
AI & Automation
Using AI where it adds practical value, especially around workflows, analysis, monitoring, and reducing manual work.
↔solve
Integration
Making APIs, applications, devices, services, and operational processes work together reliably.
◫front end too
Interface & Front-end
I care about the last mile. Responsive interfaces, accessible interaction, clear information design, and front ends that feel deliberate.
03 · Research foundation
Before AI became fashionable...
My graduate research was already sitting at the intersection of machine learning, pattern recognition, computational analysis, and bioinformatics.
That research mindset still shapes how I work: question assumptions, test ideas, and look for evidence before deciding what the system is actually doing.
Biological Protein-protein Interaction Prediction using Binding Free Energies and Linear Dimensionality Reduction
Domain-domain Interactions in Transient and Obligate Protein-protein Complexes
Analysis of Obligate and Non-obligate Complexes using Desolvation Energies in Domain-domain Interactions
Analysis of Relevant Physicochemical Properties in Obligate and Non-obligate Protein-protein Interactions
Protein-protein Interaction Prediction using Desolvation Energies and Interface Properties
04 · Foundation
Built on computer science.
Strengthened by research.
Computer Science
University of Windsor
2010–2011Computer Science & Engineering
Khulna University of Engineering and Technology
2003–2007
Best Masters Student · 2011
Best Poster Presenter · 2011
Best Research Group Award · 2011
Graduate Research Scholarship
International Graduate Student Scholarship
05 · The path so far
Different roles.
Same curiosity.
Research, software engineering, integration work, cloud systems, and now broader platform and solution design.
Now
Independent · Current Focus
Platform design, solution architecture, automation, AI, cloud systems, Python, monitoring, and technical problem solving.
2017+
Software Engineering
Production systems, integration, operations, and solution development in the utility sector.
2012–17
Application & Platform Development
Web, desktop, services, APIs, databases, integrations, and digital systems.
2010–11
Research & Teaching
Machine learning, pattern recognition, bioinformatics, programming, and academic research.
06 · Still curious
I still build things just to see if they’ll work.
Some ideas become platforms. Some become automation. Some turn into experiments that take much longer than expected.
That process is usually the interesting part.
07 · Connect
Have something interesting to talk about?
Technology, platforms, automation, an idea that needs figuring out, or simply something unusual you’re building.