I design and build useful digital products — from polished interfaces and web applications to practical AI-powered systems.
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Full-Stack Development Responsive applications, REST APIs, databases, authentication, and modern web experiences. |
UI/UX & Product Design Interfaces, prototypes, interaction design, responsive layouts, and design systems. |
AI & Machine Learning Practical ML systems, recommendation engines, AI applications, and intelligent workflows. |
Networking & Security Networking fundamentals, infrastructure, monitoring, and security-oriented engineering. |
I'm a Computer Science graduate with hands-on experience across full-stack development, front-end engineering, UI/UX design, machine learning, and networking.
I enjoy taking a project from an initial idea to something people can actually use — understanding the problem, designing the experience, building the system, and refining the details.
My approach sits at the intersection of engineering, design, and practical problem solving.
- Building interfaces that are clear and intuitive
- Writing software that is maintainable and scalable
- Turning ideas into working products
- Applying AI and machine learning to practical problems
- Continuously improving both engineering and design
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Responsive web applications, REST APIs, authentication, databases, state management, and deployment-ready systems. Focus
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Wireframes, prototypes, responsive interfaces, interaction design, and user-centered product decisions. Focus
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Recommendation systems, ML pipelines, AI-assisted applications, prompt-based workflows, and applied experimentation. Focus
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Networking fundamentals, data-center operations, monitoring, infrastructure, and security-oriented engineering. Focus
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Developer Project Planning & Documentation Platform A practical application concept for turning structured project requirements, planning information, and development decisions into organized, printable project documentation. Focus
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Full-Stack Product Development Expanding my full-stack foundations by building complete applications with modern frontend architecture, backend APIs, authentication, databases, and deployment workflows. Focus
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Note: This section is intentionally easy to update as projects change. Replace the two project descriptions above with the exact project you are actively working on and the next project you intend to build.
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A practical machine-learning system that recommends suitable crops using environmental and soil-related parameters. Inputs
Model
Result ~92% evaluated prediction accuracy 
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An AI-powered conversational experience designed to provide personalized workout guidance, nutrition suggestions, and feedback. The workflow is composed in Langflow using modular blocks and custom prompts. Built with
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A lightweight threat-detection system combining Wazuh correlation rules with Isolation Forest anomaly detection, supported by dashboards and alert workflows. Core technologies
This project represents my final-year work combining conventional detection techniques with practical machine learning. |
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Machine Learning / Software Development Internship
Developed and evaluated the AgriSmartPredict machine-learning pipeline, working through data preparation, feature handling, model training, evaluation, and application-oriented output.
Front-End Development / UI/UX Internship
Worked on responsive front-end interfaces and practical UI/UX implementation, translating design decisions into usable web experiences.
Networking / Operations Internship
Gained practical exposure to data-center infrastructure, networking operations, monitoring, and the operational side of maintaining technical systems.
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Building complete applications with modern frontend architecture, backend APIs, authentication, databases, and deployment.
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Exploring practical AI applications, machine-learning systems, intelligent workflows, and useful AI-assisted products.
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Improving the connection between UI/UX decisions, design systems, frontend implementation, and product thinking.
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Understand the problem, users, requirements, and constraints. |
Plan the experience, architecture, interface, and technical direction. |
Turn the plan into a functional, maintainable product. |
Test the system, evaluate the experience, and identify what needs improvement. |
Refine, document, and ship something useful. |
I believe good software is more than functional code — it should solve the right problem, be easy to use, and remain maintainable as it grows.
Frontend & product development
I enjoy building responsive interfaces where visual design and engineering meet.
My frontend work focuses on:
- Component-based architecture
- Responsive layouts
- Reusable UI patterns
- API integration
- State management
- Accessibility
- Performance
- Clean interaction design
Backend & application development
I have experience working with REST APIs, application logic, authentication, databases, and backend integrations.
Areas I've worked with include:
- Node.js
- Express
- Flask
- MongoDB
- MySQL
- Firebase
- REST APIs
- Authentication
- API testing with Postman
AI & machine learning
My ML work is focused on practical applications rather than models for the sake of models.
I've worked with:
- Data preprocessing
- Feature engineering
- Supervised learning
- Random Forest
- Model evaluation
- Recommendation systems
- AI workflows
- Prompt design
Networking & systems
I have practical exposure to networking and data-center environments, including infrastructure operations, monitoring, and security-oriented systems.
Full-Stack Development
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Frontend Engineering
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UI/UX
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AI Applications
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Machine Learning
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Developer Tools
Whether you're hiring, collaborating, or exploring an idea, I'd be happy to hear from you.
