Hi, I'm Saloni Aryal
Machine Learning Engineer·Data-Driven Systems Builder
I design and build intelligent, data-driven systems using machine learning, artificial intelligence, and scalable software technologies.
I am a Machine Learning Engineer and BSIT graduate with a Data Science major from Westcliff University. I specialize in developing intelligent solutions, training predictive models, analyzing complex datasets, and transforming data into impactful real-world applications.
Building Intelligent Systems
A short introduction to who I am and what I care about.
Saloni Aryal is a Machine Learning Engineer with a strong foundation in artificial intelligence, data science, programming, and analytical problem-solving. She earned her Bachelor of Science in Information Technology with a major in Data Science from Westcliff University.
She is passionate about building intelligent systems that solve practical problems. Her interests include predictive modeling, deep learning, natural language processing, computer vision, generative AI, data analytics, and AI-powered application development.
Saloni combines technical expertise, curiosity, creativity, and a continuous-learning mindset to develop reliable and impactful machine learning solutions.
Machine Learning Development
Training, evaluating and shipping predictive models end-to-end.
AI-Powered Applications
Building intelligent products with LLMs, RAG and modern AI tooling.
Data Analysis & Visualization
Turning raw data into clear, decision-ready insights.
End-to-End Model Deployment
From notebooks to production APIs, monitored and versioned.
Technical Toolkit
A broad, hands-on stack across the full machine learning lifecycle.
Programming Languages
Machine Learning
Artificial Intelligence
Data Science
Libraries & Frameworks
Databases & Data Tools
MLOps & Deployment
Cloud & Platforms
Working knowledge / familiarity
Professional Strengths
Professional Timeline
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Machine Learning Engineer
Placeholder- Developed and evaluated machine learning models for real-world business problems
- Performed data cleaning, preprocessing, feature engineering, and exploratory analysis
- Built predictive pipelines using Python and machine learning libraries
- Collaborated with technical and non-technical stakeholders
- Deployed machine learning solutions through APIs and interactive applications
- Monitored model performance and documented experiments
Data Science / AI Intern
Placeholder- Analyzed structured and unstructured datasets
- Built dashboards and visualizations to communicate insights
- Assisted in developing classification, regression, and clustering models
- Conducted research on machine learning and artificial intelligence techniques
- Prepared technical reports and project documentation
Selected Portfolio Work
Editable example projects showcasing the kind of work I build.
Academic Foundation
Bachelor of Science in Information Technology
Major in Data Science
Westcliff University
PlaceholderGraduation Year
Continuous Learning
Editable placeholders — real credentials can be linked from the data file.
Machine Learning Certification
Issuing Organization
Python for Data Science
Issuing Organization
Deep Learning Specialization
Issuing Organization
Data Analytics Certification
Issuing Organization
Generative AI Certification
Issuing Organization
Cloud Fundamentals
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How I Can Help
From prototypes to deployed, monitored ML systems.
Machine Learning Model Development
Custom ML pipelines from data to deployment.
Data Analysis & Visualization
Clear, actionable insights from complex datasets.
Predictive Analytics
Forecasting, scoring and risk modelling.
AI Application Development
Production-ready AI products and integrations.
NLP Solutions
Text classification, extraction, sentiment and chatbots.
Computer Vision Prototypes
Image classification, detection and OCR.
Model Deployment
APIs, containers and monitored cloud rollouts.
Technical Research & Documentation
Rigorous experimentation and clear write-ups.
Let's Build Something Intelligent
I am open to Machine Learning Engineer roles, AI and Data Science opportunities, internships, freelance projects, research collaborations, and technology partnerships.