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Profile |
Work |
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🌸 Hey, I'm Kamran — a full-stack developer and AI/ML enthusiast who loves turning ideas into working software. Backed by a Computer Science degree and five Google Career Certificates, I enjoy building things end-to-end and learning something new every day.
| 🎓 Education | BS Computer Science — Sukkur IBA University (2027) |
| 🧰 Core Stack | JavaScript, Python, Java, React, Node.js, MySQL, MongoDB |
| 🎯 Focus Areas | Full-Stack Development · AI/ML · Cloud Fundamentals |
| 💼 Open To | Software engineering internships, freelance work, collaboration |
| 📍 Location | Pakistan |
🍃 A few fun facts about me
- ☕ Code fuels better with a cup of chai nearby
- 🌙 Most productive after midnight
- 📚 Always mid-way through a new course or certification
- 🤝 Genuinely enjoys helping other devs debug their code
- 🚀 Believes the best projects start as messy side experiments
Bachelor of Science, Computer Science — Sukkur IBA University · Expected May 2027
Core coursework
- Data Structures & Algorithms
- Object-Oriented Programming
- Database Management Systems
- Web Development & Full-Stack Architecture
- Artificial Intelligence Fundamentals
- Discrete Mathematics & Computational Theory
- Software Engineering Practices
- Computer Networks & Protocols
| Certification | Issuer | Completed | Status |
|---|---|---|---|
| AI for Data Analysis | Google Career Certificates | June 2026 | 🟡 In Progress |
| Foundations of Data Science | Google Career Certificates | Dec 2025 | ✅ Completed |
| Get Started with Python | Google Career Certificates | Dec 2025 | ✅ Completed |
| Play It Safe: Manage Security Risks | Google Career Certificates | Sep 2025 | ✅ Completed |
| Foundations of Cybersecurity | Google Career Certificates | Aug 2025 | ✅ Completed |
📌
TODO: add verification links for each certificate.
Proficiency breakdown by domain
| Domain | Technologies |
|---|---|
| Languages | Python (primary — data/ML/backend), JavaScript ES6+ (frontend/full-stack), Java (desktop/GUI), C/C++ (algorithms, fundamentals) |
| Frontend | React (hooks, Context/Redux), HTML5/CSS3, Tailwind CSS, responsive & accessible UI |
| Backend | Node.js/Express, REST API design, JWT/OAuth 2.0, middleware architecture |
| Databases | MySQL, MongoDB, PostgreSQL, Firebase — schema design, indexing, query optimization |
| AI/ML | Pandas, NumPy, scikit-learn, XGBoost, Matplotlib/Seaborn, TensorFlow/Keras (learning) |
| Cloud/DevOps | AWS (EC2, S3, Lambda), Docker fundamentals, GitHub Actions, Vercel/Heroku deployment |
flowchart LR
A[Client / UI<br/>React + Tailwind] --> B[API Layer<br/>Express + Middleware]
B --> C[Business Logic<br/>Validation & Auth]
C --> D[(Database<br/>MySQL / MongoDB)]
B -.->|JWT / OAuth 2.0| E[Auth Service]
C -.->|Cache| F[(Redis / In-memory)]
Principles applied: separation of concerns · RESTful API design · role-based access control · input validation at every boundary · horizontal scalability where applicable.
Desktop application for managing freelancer–client relationships, payments, and performance tracking.
Python Tkinter MySQL MVC Architecture
- Dual role-based access (Admin / Client / Freelancer)
- Payment tracking, invoicing, and ratings system
- 3NF-normalized schema with full CRUD operations
Real-time weather app with forecasting and multi-city tracking.
Java OpenWeatherMap API Swing/JavaFX
- 7-day forecasting and unit conversion
- Location-based auto-detection
- JSON persistence for search history
Production React site showcasing projects, certifications, and contact channels.
React 18 Tailwind CSS Vercel
- Lighthouse score 90+, mobile-first, SEO-optimized
- Dark/light theme toggle, accessible components
Ongoing collection of applied data science projects.
See sub-projects
| Project | Stack | Focus |
|---|---|---|
| Predictive Analytics Dashboard | Pandas, scikit-learn, Matplotlib | Regression models, evaluation, visualization |
| Exploratory Data Analysis | Jupyter, Seaborn, NumPy | Statistical analysis, correlation discovery |
| Classification Project | scikit-learn, XGBoost | Feature engineering, hyperparameter tuning |
| NLP Basics | NLTK, spaCy | Sentiment analysis, text classification |
flowchart TD
A[Data Collection<br/>APIs / CSV / Scraping] --> B[Preprocessing<br/>Cleaning & Encoding]
B --> C[EDA<br/>Stats & Visualization]
C --> D[Feature Engineering]
D --> E[Model Training<br/>scikit-learn / XGBoost]
E --> F[Evaluation<br/>Cross-validation]
F --> G[Deployment<br/>API / Serialization]
timeline
title 2026 Goals
Q1 : Complete AI for Data Analysis cert : Ship 2nd full-stack app
Q2 : Build Real-Time Analytics Dashboard : Contribute to 5 OSS projects
Q3 : AI-Powered Recommendation Engine : Start Deep Learning specialization
Q4 : Cloud-native microservices project : Land a software engineering internship
| Goal | Target | Status |
|---|---|---|
| Full-stack applications shipped | 2 | 🟡 1/2 |
| Open-source contributions | 5 projects | 🟡 3/5 |
| GitHub contributions | 500 | 🟡 375/500 |
| AWS Cloud Practitioner | Certified | ⚪ Planned |
Looking for: software engineering internships (Summer 2026) · freelance full-stack/AI work · open-source collaboration · mentorship.
💌 Thanks for stopping by! If any of this made you smile, feel free to say hi — always happy to build something nice together.