Parsa Hosseini · MMXXVI · v1.0
Lat 25.276°N
Lon 55.296°E
Dubai · UAE
Based in Dubai · Computer Science · AI / Data Systems · Research

Building practical AI systems from research, data, and curiosity.

I'm Parsa Hosseini — a computer science student, AI/data builder, and founder of MetricoreAI, working at the intersection of software engineering, research, and real-world AI readiness.

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02How I got here

A path through code, systems, research, and an obsession with what data is really telling us.

Five chapters, one continuous arc — from first compiler errors to building infrastructure that asks harder questions about AI than the hype around it.

Chapter 01 · 2021 — 2022

Computer Science Foundation

I started with software engineering fundamentals, building projects in Go, Python, JavaScript, React, and backend systems — learning to translate ideas into working software piece by piece.

GoPythonJavaScriptReactLinux
Chapter 02 · 2022 — 2023

From Code to Systems

My interests moved from simple applications to full systems — APIs, cloud file management, data dashboards, automation, and product architecture. Software stopped being a feature and started being an environment.

REST · gRPCPostgresDockerS3 · GCSObservability
Chapter 03 · 2023 — 2024

AI and Research

I became focused on applied AI — handwriting-based dysgraphia detection, time series forecasting, AI for cybersecurity, and data-driven research. Real datasets, real noise, real consequences.

PyTorchForecastingCV · OCRSecOps MLNotebooks
Chapter 04 · 2025 — Now

MetricoreAI

I am building MetricoreAI, a SaaS platform that helps organizations understand whether their data is ready for real AI adoption — before they spend a single dollar on models.

FounderSaaSData QualityGovernanceReadiness
Chapter 05 · Onward

The Next Chapter

My long-term direction is graduate research in AI, data science, applied computing, and intelligent systems — pursuing questions that sit between mathematics, infrastructure, and human decision-making.

Graduate ResearchApplied AIHCIIntelligent Systems
03What I actually build

Three lenses for the same instinct — make computers do useful things with messy reality.

01 · PracticeEngineering

AI & Data Systems

I design practical systems that turn messy data into usable intelligence — the kind that survives leaving the notebook and meeting real users.

pipelinesqualityforecasting
02 · RigorResearch

Research-Driven Software

I care about building products that are grounded in technical depth, experimentation, and real-world validation — papers and shipping live in the same notebook for me.

experimentsevaluationpapers
03 · VisionFounder

Founder Mindset

Through MetricoreAI, I am exploring how companies can measure and improve their readiness for AI — turning a vague aspiration into a real score.

saasreadinessgovernance
04Featured Project

MetricoreAI

An AI readiness platform for organizations with messy data, disconnected systems, and unclear AI potential.

MetricoreAI measures data quality, integration maturity, governance, volume, and readiness signals to help companies understand where they actually stand before investing in AI.

Data QualityIntegrationGovernanceVolumeReadiness Score
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05Where I'm going

Research is becoming the center of my work.

My long-term goal is to pursue graduate research in AI, data science, and applied computing. I am especially interested in systems that combine machine learning, data infrastructure, human decision-making, and real-world impact.

3
Active research threads
5+
Applied AI projects
∞
Unfinished notebooks
research
Applied AI Machine Learning Data Science Cybersecurity Intelligent Systems Time Series Forecasting AI Readiness HCI Mathematics
06Beyond engineering

Beyond engineering, I think in music, writing, and philosophy.

My creative interests shape how I think about systems, people, and technology. I write, study philosophy, explore music production, and care deeply about long-form thinking — the kind that doesn't fit into a sprint.

Writing
Essays on AI readiness, data culture, and where the field is honest with itself.
long-form
Philosophy
Epistemology, decision theory, and the ethics of building systems people defer to.
reading
Music
Ambient, electronic, and the textures that show up when math meets feeling.
production
Notes
A growing public archive — fragments, prototypes, half-formed arguments.
archive
Notebook · Entry 047

"A model is only as honest as the pipeline that feeds it. If the data is a rumor, the prediction is a louder rumor."

On Curiosity

"What I am chasing is not the answer; it is the moment of noticing that the question was wrong."

archive · sketches 2026
07Continue the journey

Let's build systems that are useful,
intelligent, and real.

This site is my public archive of projects, research, writing, and the path I am building toward deeper work in AI and data systems.

Read my writing View my projects Contact me