THE PERSON / NOT JUST THE STACK01 / The person behind the code
Hi, I’m Danyal. I’m a computer science graduate who likes turning complicated problems into things that feel simple to use.
I work where product engineering meets applied AI: responsive frontends, dependable APIs, and machine learning pipelines that make it into a real application.
That has taken me from shipping restaurant software for live clients to training news credibility models and building a book archive you can talk to. I’m looking for a team where I can contribute, keep asking questions, and keep getting better.
BS Computer Science
University of Central Punjab
In the real world
Jul — Dec 2025Tri Tech Technology LLC
Helped build and deploy a multi-tenant restaurant POS ecosystem: three Next.js frontends, one shared Express API, and the workflows that keep a restaurant moving.
Deployed for CAP Cafe & Extraction
02 / Selected work
Six builds. Six different problems.
Follow the thread from the first question
to the system behind the screen.
What if your feed helped you question what you read?
A news credibility platform connecting transformer models with a personalized mobile experience.
How do four different people share one smooth delivery?
Four connected portals. One food delivery experience, from discovery to the rider’s last mile.
What if an entire fictional world could answer back?
A fantasy archive with a from-scratch RAG chatbot, streaming answers, and spoiler-aware retrieval.
What actually keeps a restaurant moving during the rush?
A multi-tenant POS ecosystem built during my internship and deployed for two restaurant clients.
What makes the journey from discovery to checkout feel simple?
A complete commerce storefront with persistent carts, authenticated orders, and webhook-confirmed checkout.
Can a music player feel personal without needing a connection?
An offline-first Android music player with a local library, background audio, and a personal feel.
03 / Skills & capabilities
The languages, tools, and foundations
I bring to a project. Across software,
mobile, and applied AI.
The building blocks
The part people interact with
The systems behind the screen
From data to intelligence
Structured, connected, retrievable
From local to production
The thinking underneath
A faster feedback loop
04 / The toolkit
The tools change. The goal stays simple:
build something useful, and build it well.
I connect thoughtful interfaces to the systems behind them: APIs, authentication, data models, and the details that make a product work.
Explore the workflow
Interface. Responsive views, reusable components, and clear interaction states.
Python / TypeScript / JavaScript / Java / C++ / SQL / OOP / Data structures & algorithms
05 / Beyond the interface
My research explores how sentiment and emotion features affect transformer-based fake news detection. I co-authored a preprint comparing RoBERTa, ELECTRA, BERT, and DistilBERT on the LIAR short-claim dataset.
Preprint submitted to Elsevier · Publication pending
Read my AI / ML résuméAccuracy with text + sentiment + emotion
Selected combined-feature setting. Results documented in my AI/ML résumé.
06 / The playground
Side quests, smaller builds,
and ideas worth trying.
Always a student
Select a certificate to take a closer look.
Google / CourseraApr 2026
Hugging FaceMay 2026
HackerRankAug 2026
