I Build AI-Powered Products,
Data Systems & Applications
That Solve Real Problems.
I'm Ateeq Rehman Wazir, a Data Scientist and Full Stack Developer based in Pakistan, building for the world remotely. I work across the entire product stack: from training ML models and engineering data pipelines, to shipping polished Next.js applications and FastAPI backends that handle real user traffic.
What separates my work is the combination of technical depth and business clarity. I don't just write code, I understand what the product needs to do, who it's for, and how to measure whether it's working. That cross-domain thinking is where I add the most value.
What I Specialise In
AI & Machine Learning
I design and ship ML systems that do real work, predictive models, NLP pipelines, recommendation engines, and AI API integrations that make products measurably smarter.
Full Stack Engineering
End-to-end product engineering with Next.js, TypeScript, and FastAPI. From database schema to deployed frontend, production-grade, clean architecture, and properly tested.
Data Science & Analytics
Turning raw, messy data into decisions. EDA, feature engineering, dashboards, and business intelligence reports that give stakeholders a clear view of what's happening and why.
Technology Ecosystem
How I Got Here
Data Science & ML Core
Built the foundation in Python, statistical analysis, and machine learning. Shipped regression, classification, and NLP models on real datasets, not toy examples. Learned that data cleaning is 70% of the work and feature engineering matters more than model selection.
APIs, Databases & Architecture
Moved into production backend engineering, FastAPI, PostgreSQL, JWT authentication, SQLAlchemy ORM, and Docker deployment. Built systems designed to handle real traffic with proper abstractions and documentation.
Full Stack & Client Work
Shipped full products, premium healthcare websites for plastic surgery clinics, a SaaS platform with Stripe billing and AI integrations, and multiple business sites that convert visitors. Learned that technical quality and business outcome are not separate concerns.
AI Products at Scale
Now focused on AI-powered SaaS, LLM integrations, and building products that put intelligence directly into user workflows. Combining the ML background, backend architecture skills, and product instinct into a single focused output.
Current Focus
MyamiCV AI
AI resume builder with ATS scoring, cover letter generation, and Stripe billing. Full SaaS architecture, auth, billing, AI pipeline, dashboard.
AI SaaS Architecture
Deepening expertise in LLM integrations, vector databases, and building AI-native product workflows. RAG systems, prompt engineering, multi-model pipelines.
Healthcare Digital Products
Premium websites for medical professionals and clinics, focused on conversion, trust-building design, and local SEO that drives real patient inquiries.
Engineering Principles
Build for real users
Products exist to solve problems for people. Every technical decision should trace back to a user outcome.
Data-driven decisions
Intuition is useful. Data is better. I measure what matters and let evidence shape direction.
Performance by design
Speed is a feature. I build fast applications by default, not by bolting optimizations on afterward.
Simplicity over cleverness
The best code is the code that doesn't need explaining. Simple, readable, extensible.
Architecture that scales
I design systems that grow with the product, not systems that need to be rewritten the moment traffic picks up.
Ship, learn, iterate
Working software beats perfect plans. I ship early, gather signal, and improve in cycles, not in isolation.
Why I Build
Most developers build features. I build outcomes. The distinction matters because features are easy to ship, outcomes require understanding the user, the market, and what success actually looks like before writing a single line of code.
I came to software through data science, which means I think in systems and probabilities before I think in code. That background gives me an unusual ability to see both the technical architecture and the business logic simultaneously, and to know which one to optimise first.
The work I find most meaningful sits at the intersection of AI and real products: tools that help people make better decisions, systems that automate the tedious so people can focus on the consequential, websites that actually convert because they were designed to earn trust.
Let's build something togetherWhat I value in work