I build, test, and containerize data Pipelines, ML algorithms, and server interfaces. I believe in writing modular code, automated pipelines, and highly performant integrations—Building systems, not just scripts.
A high-accuracy, full-stack detector combining multiple vision transformers (SigLIP + CLIP ViT) into an async ensemble system.
- Impact: Analyzes and generates an ensemble authenticity probability in under [X] seconds.
- Engineering: Async PyTorch inference, cached resource loading, image validation filters, custom classification thresholds.
- Infrastructure: Full containerization with Docker and continuous integration testing using GitHub Actions.
- Tech:
Python·FastAPI·PyTorch·Hugging Face·Streamlit·Docker·CI/CD - 🔗 Try the Live Demo
A modern, modular data extraction application designed for resilient webpage scraping and SEO audit extraction.
- Impact: Boosted processing speeds by up to [X]% using lightweight, asynchronous structural parsing via
lxml. - Engineering: Configurable retry mechanisms, parsing selectors (SEO headers, keyword patterns, assets), and compliance verification with
robots.txtalgorithms. - Outputs: On-demand exports to excel, CSV, or JSON payloads via
Pandas. - Tech:
Python·Streamlit·Requests·lxml·Pandas·Docker - 🔗 Try the Live Demo
A high-performance memory-card browser game engineered with vanilla scripts for Lahore College Tech Fest.
- Interactive System: Responsive grid logic, custom difficulty scaling, session-timer mechanisms, high score storage, and multimedia interfaces.
- Tech:
HTML5·CSS3·JavaScript·Hugging Face Spaces - 🔗 Interactive Play Demo
| Domain | Tools & Technologies |
|---|---|
| Languages | Python (Expertise), JavaScript, HTML5, CSS3, SQL |
| AI & Machine Learning | PyTorch, Hugging Face Transformers, scikit-learn, Pandas, NumPy |
| API & Web Engines | FastAPI, Streamlit, Asynchronous Routing, Web Scraping (lxml, Requests) |
| DevOps & Workflows | Docker, GitHub Actions (CI/CD workflows), Git (VCS), Linux commands |
| Deployment / Environments | Streamlit Cloud, Hugging Face Spaces, Virtualenvs, local registry setups |
- MLOps Systems: Continuous model monitoring, evaluation pipelines, and hardware optimization.
- Advanced AI Engineering: RAG architectures, local deployment of LLMs, vector database schemas (FAISS/ChromaDB).
- Infrastructure Strategy: Google Cloud Services (Vertex AI, Docker Cloud Deployment workflows).
- 💼 LinkedIn: /in/syed-hissam-kazmi
- 🌐 Interactive Portfolio: syed-hissam-kazmi-portfolio.vercel.app
- 📲
- 📧 Direct Contact: Reached directly through my linkedin page or standard git emails.
"Build systems, not just scripts."