Selected work

Production application and applied 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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