X-AI-ML · Applied portfolio

Applied AI, Machine Learning, Data Analytics & Full-Stack AI Applications for real business problems.

A professional portfolio of seven completed AI/ML case studies plus a live production AI SaaS application spanning data analytics, predictive modeling, deep learning, computer vision, generative AI, RAG, model delivery, and full-stack application development.

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7Completed AI/ML case studies
7Public AI/ML repositories
1Live production AI SaaS
1Connected professional brand
EvidenceNotebook charts and project diagrams
SourceDirect GitHub repository access
ResponsiveDesktop, tablet, and mobile layouts
ProductionSEO, sitemap, metadata, and 404 support
Selected work

Production application and evidence-backed AI/ML case studies.

Explore a live full-stack AI SaaS product alongside seven completed case studies covering analytics, machine learning, deep learning, computer vision, generative AI, RAG, and model delivery.

Production Applications
ListingsEdge AI live website homepage showing its real estate marketing application
Full-Stack AI SaaS / Real Estate Marketing

ListingsEdge AI

Built and launched a production AI-powered real estate marketing application that turns property information into MLS-ready descriptions, social media captions, email marketing copy, property highlights, open-house content, and downloadable marketing materials. The product demonstrates end-to-end AI application delivery, production deployment, authentication, payments, data persistence, transactional workflows, and ongoing release/bug-fix management.

Next.jsNode.jsTypeScriptJavaScriptOpenAI APISupabaseStripeVercelGit / GitHubAPI IntegrationFull-Stack Web Development
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AI/ML Case Studies
Medical Assistant
Generative AI / RAG

Medical Assistant

Built a retrieval-augmented assistant that grounds LLM responses in trusted medical reference materials using document processing, embeddings, semantic search, vector storage, and controlled prompting.

PythonRAGLLMVector Database
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SuperKart
Machine Learning / Deployment

SuperKart

Developed an end-to-end retail sales forecasting workflow spanning feature preparation, regression modeling, tuning, API packaging, containerization, and interactive delivery.

PythonScikit-learnFlaskDocker
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HelmNet
Computer Vision / Deep Learning

HelmNet

Created a safety-helmet image classifier using CNNs, transfer learning, fine-tuning, and data augmentation to support automated workplace compliance monitoring.

PythonTensorFlowKerasCNN
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ReneWind
Deep Learning / Predictive Maintenance

ReneWind

Designed neural-network classifiers for wind-turbine generator failure prediction with class-imbalance handling and recall-focused evaluation for proactive maintenance.

PythonTensorFlowKerasNeural Networks
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EasyVisa
Advanced Machine Learning

EasyVisa

Built an ensemble-learning solution to predict visa application outcomes using bagging, boosting, stacking, hyperparameter tuning, and feature-importance analysis.

PythonScikit-learnXGBoostBagging
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Personal Loan Campaign
Machine Learning / Classification

Personal Loan Campaign

Developed a customer-propensity model for personal-loan targeting using exploratory analysis, feature preparation, classification models, and business-oriented evaluation.

PythonPandasScikit-learnDecision Tree
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FoodHub
Data Analytics / EDA

FoodHub

Performed end-to-end exploratory analysis of food-delivery orders to uncover customer behavior, restaurant performance, cuisine demand, ratings, delivery patterns, and revenue opportunities.

PythonPandasNumPySeaborn
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Capabilities

From raw data to usable AI.

01

Data Analytics & EDA

Data quality assessment, descriptive analysis, visualization, segmentation, operational patterns, and business recommendations.

02

Machine Learning

Classification, regression, ensembles, model tuning, feature engineering, evaluation, and decision support.

03

Deep Learning & CV

Neural networks, CNNs, transfer learning, image augmentation, fine-tuning, and risk-aware evaluation.

04

Generative AI & RAG

Document preparation, embeddings, vector retrieval, grounded prompting, LLM response generation, and evaluation.

05

Model Delivery

Reproducible notebooks, HTML reports, APIs, Streamlit, Docker, and portfolio-ready technical documentation.

06

Business Communication

Clear problem framing, metric selection, conclusion writing, visual storytelling, and actionable recommendations.

07

Full-Stack AI Applications

Next.js/Node.js application development, API integration, AI feature integration, authentication, database-backed workflows, payments, deployment, production troubleshooting, and iterative release management.

Professional presence

GitHub, LinkedIn, and Upwork—connected under X-AI-ML.

Review project code, explore the professional profile, or start a project conversation through one consistent brand.

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