Arham Saifar.
Built to impress.
AI & Backend Engineer. I build real-time intelligent systems that move from idea to working product — fast, functional, and scalable.
I build systems,
not just models.
I'm a Computer Science student focused on AI systems, backend engineering, and solving real-world problems through code. I don't just build models or write scripts — I build complete systems that run, scale, and deliver output.
What drives me is execution. Most people stay in tutorials or theory — I take ideas, turn them into working solutions, and push them to deployment. I've worked across AI, backend systems, and cloud integrations, building everything from real-time gesture recognition to deployed web apps and cloud-based AI pipelines.
Real-time webcam system that detects and classifies hand gestures (A–Z) for accessible communication. Full pipeline: capture → preprocessing → CNN classification → live UI. Not a model — a complete working product.
AI-powered story pipeline on real AWS infrastructure. Lambda handles compute, Bedrock runs the model, S3 stores outputs, DynamoDB manages metadata. Real cloud integration — not a localhost demo.
NLP classifier that detects harmful text with 91% accuracy. Tackled class imbalance and optimised recall for harm detection — the metric that actually matters in safety systems.
Regression system predicting real estate prices. Benchmarked multiple models — Gradient Boosting hit ~0.91 R². Focused on feature engineering and model selection over surface-level implementation.
Production-deployed calculator with persistent storage and full CRUD. Unique ID per entry — store, edit, retrieve, delete. Deployed on live hosting with production database. Most candidates demo locally. This is live.
- Designed and built a web-based engineering calculator with full backend logic and database integration
- Architected CRUD system with unique identifiers — store, edit, retrieve, delete calculations
- Handled end-to-end deployment: FTP, database setup, production debugging on live hosting
- Delivered a production-ready tool that reduced manual effort and improved workflow efficiency
- Built and maintained responsive web applications for client requirements
- Integrated frontend interfaces with backend systems, improving performance and load times
- Implemented UI/UX improvements that increased user engagement and usability
- Delivered client-facing products through the full requirements → development → delivery cycle
- Analyzed property and business data using Excel and Power BI
- Built dashboards visualising trends, pricing, and performance metrics
- Automated reporting workflows, reducing manual effort significantly
- Translated raw data into actionable insights for property decision-making
- Developed full-stack web applications using modern frameworks
- Worked on backend logic, API integration, and database connectivity
- Debugged, tested, and improved application performance in a team environment
- Contributed functional features to live projects — not just tutorial exercises
West London
Computer Science
Machine Learning
Databases
Software Engineering
Let's build
something
real.
Open to AI/backend engineering roles, internships, and freelance projects. I move fast, I ship, and I don't need hand-holding.