Rohit Sahani
AI Model Developer & Full Stack Engineer
Available for AI and full-stack project work
- Python
- AI Integration
- Web Systems
AI Model Developer & Full Stack Engineer
I build intelligent, scalable web applications powered by AI.
I design and develop full-stack applications that combine modern web technologies with AI capabilities. From building machine learning models in Python to integrating them into responsive web interfaces using JavaScript, I create systems that are fast, scalable, and practical.
Based in Nepal, working on AI-driven solutions and modern web systems.
Current focus
- Email rohit.sahani.dev@gmail.com
- Phone 9820695859
About
Building practical AI products with full-stack delivery.
I am an AI-focused developer with a strong foundation in full-stack web development. I work with Python for building intelligent systems and use JavaScript, HTML, and CSS to create responsive user interfaces. I aim to build applications that are not just functional, but smart and efficient.
My work is centered on connecting model logic with interfaces people can actually use. That includes API design, data handling, frontend structure, and deployment-ready web systems that feel clean and reliable.
AI model development
Python-based workflows for building, testing, and exposing intelligent behavior.
Web integration
REST APIs and responsive interfaces that connect model logic to real user flows.
Full product delivery
From data handling to frontend polish, I build complete systems with clear structure.
Skills
Core technologies used to build intelligent, usable products.
Frontend
- HTML5
- CSS3
- JavaScript (ES6+)
Backend
- Python
- Java
- Server-side logic and API handling
AI / Machine Learning
- Model development
- Data handling and preprocessing
- AI integration into web apps
Tools
- Git & GitHub
- REST APIs
- JSON and structured data workflows
Projects
AI-powered products designed around real usage and clear outcomes.
Support Intelligence Platform
Helps support teams sort and respond to incoming requests with more consistency.
This project uses a Python-based model to review user input, classify request types, and pass structured results to a web interface built with JavaScript. It turns raw queries into usable support workflows.
- Python
- JavaScript
- REST API
- HTML/CSS
Outcome: clearer triage flow, faster response handling, and a practical AI layer for web-based operations.
Content Response Assistant
Supports creators and teams that need faster response generation across channels.
This system combines Python-based text handling with a frontend workflow that lets users submit prompts, review generated responses, and manage output inside a clean interface. Backend logic controls formatting and response structure.
- Python
- JavaScript
- JSON
- CSS3
Outcome: faster content operations, better consistency, and a usable AI workflow for day-to-day content tasks.
Workflow Analytics Dashboard
Gives teams a clearer view of data movement, process health, and decision points.
This dashboard connects processed backend data with a responsive frontend so users can track workflow status, review structured metrics, and inspect AI-assisted outputs in one place. It is designed for real monitoring rather than static reporting.
- Python
- Java
- REST API
- JavaScript
Outcome: better visibility across full-stack processes and a clearer path from raw data to useful interface decisions.
Experience
A practical process from model logic to finished interface.
Understand the workflow
Start with the problem, the user flow, and the decisions the system needs to support.
Build the model and backend structure
Use Python, data handling, and API logic to create a system that is reliable and usable.
Deliver the interface and integration
Connect the logic to a responsive frontend so the full product works as one system.
Contact
Interested in building AI-powered applications or scalable web systems? Let's work together.
If you need help turning an idea into a working product, I can support the model logic, the API layer, and the frontend delivery needed to make it practical.