Portfolio

Projects & Case Studies

Real-world applications demonstrating AI-assisted development, full-stack engineering, and production-ready SaaS platforms. Each project showcases innovative approaches to solving complex problems.

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SkillEngine

AI Career Productivity Platform — Full-scale SaaS built in 31 days with Claude Code.

125K+ lines 277+ AI skills 48 pages

Enterprise Client & CRM System

Multi-contact client management with AI research and personalized portals.

21 industries 5-stage pipeline AI research

Client-Side Security Scanner

Browser-based vulnerability scanning with compliance policy enforcement.

15 checks 33 routes PII detection

Media Mix Model Platform

Bayesian MMM with multi-platform connectors, data hygiene, and budget scenario planning.

Bayesian modeling Data validation Scenario planning

Resume Intelligence Search

RAG-powered semantic search application built from scratch in under 2 hours.

<2 hours RAG architecture Claude API

SkillEngine

AI Career Productivity Platform — A full-scale SaaS application built in 31 days using AI-assisted development with Claude Code.

Live Application
31
Days to Build
125K+
Lines of Code
277+
AI Skills
48
App Pages
24
Workflows
27
Role Templates
311
Git Commits
$0
Monthly Hosting

The Problem

Most people use AI the same way every time: open ChatGPT, explain what they need, get a response, close the tab. Tomorrow they start over with zero memory of what worked. Valuable prompts are lost, and professionals waste time re-explaining context repeatedly.

The Solution

SkillEngine saves your best prompts as reusable Skills — complete with expert personas, structured outputs, and industry-specific context. Run them with one click instead of re-explaining yourself constantly. Build once, use forever.

User Experience Flow

SkillEngine Home Dashboard showing skill categories and how it works flow
Home Dashboard
Welcome screen with value proposition, "How it works" flow, and key benefits.
SkillEngine Skill Library with 236 skills across 32 professional roles
Skill Library
Browse 236+ production-ready skills with role filters and featured collections.
SkillEngine Skill Runner with setup checklist and input form
Skill Runner
Setup checklist, AI provider selection, and dynamic input forms for each skill.
SkillEngine execution results showing Company Research Report output
Real-Time Results
Structured output with execution metrics, token usage, cost tracking, and export options.
SkillEngine Job Application Package workflow with 5 automated steps
Workflow Runner
Multi-step workflows combining skills like Job Application Package with 5 automated steps.
SkillEngine Settings showing API key management for multiple AI providers
Settings & API
Multi-provider API key management for Google Gemini, Anthropic Claude, and OpenAI.

Core Capabilities

🎯 For Job Seekers

Job Readiness Scorer — Match analysis for roles
Resume Customizer — Tailored bullet points
ATS Keyword Optimizer — Pass screening
Interview Prep — STAR-format answers
Salary Coach — Negotiation guidance

💼 For Professionals (27 Roles)

Software Engineer — Code review, specs
Financial Analyst — Reports, forecasts
Marketing Manager — Campaigns, strategy
Project Manager — Status, risk assessment
+ 22 more roles with 4-12 skills each

🏢 Enterprise Operations

Contract Review — Risk identification
Compliance — Program development
AI Governance — Implementation
Tech Debt — Assessment & planning
RFP Response — Automation

Technical Architecture

Multi-Provider AI Interface

┌─────────────────────────────────────────┐ │ Unified AI Interface │ ├─────────────┬─────────────┬─────────────┤ │ Gemini │ Claude │ ChatGPT │ │ • 2.0 Flash│ • Haiku │ • GPT-4o │ │ │ • Sonnet │ • 4o-mini │ │ │ • Opus │ • o1 │ └─────────────┴─────────────┴─────────────┘ Switch providers with one click. Model-specific token limits and streaming handled automatically.

Local-First Data Architecture

┌─────────────────────────────────────────┐ │ User's Browser │ │ ┌─────────────────────────────────────┐│ │ │ IndexedDB (Primary Storage) ││ │ │ • Workspaces • Skill history ││ │ │ • Custom skills • Preferences ││ │ └─────────────────────────────────────┘│ └─────────────────────────────────────────┘ │ Optional sync ▼ ┌─────────────────────────────────────────┐ │ Supabase (Cloud Sync) │ │ • Community skills • User profiles │ └─────────────────────────────────────────┘

Technology Stack

Frontend
React 18, TypeScript
Styling
Tailwind CSS
Build
Vite
Routing
React Router
Local DB
IndexedDB
Backend
Supabase
Hosting
Netlify
Testing
Vitest

AI-Assisted Development with Claude Code

Daily Development Velocity

📝
4,000+ lines of production code per day
🎯
9 new AI skills created daily
📦
10 git commits per day average
📄
1.5 application pages completed daily

Commit Distribution by Week

Week 1
86
Core architecture
Week 2
114
Skills + Roles
Week 3
61
Workflows
Week 4
50
Polish + Keys
"The cost and time equation for building software has fundamentally changed."

This project — 48 pages, 277 skills, 24 workflows, full authentication, multi-provider AI integration — would traditionally require a team of 3-4 developers working 2-3 months. Built solo in 31 days. Hosting cost: $0/month. The tools are here. The question is who learns to use them effectively.

Project completed February 2026

Enterprise Client & CRM Management System

A comprehensive B2B client relationship platform built for consulting firms, combining multi-contact tracking, personalized client portals, and AI-powered research in one unified dashboard.

21
Industries
5
Pipeline Stages
3
Contacts per Client
15
Activity Types

The Problem

Consulting firms struggled to track multiple stakeholders per client, keep outreach consistent, and demonstrate value with generic follow-ups. Manual CRM systems couldn’t keep up with complex pipelines or personalization demands.

The Solution

A unified CRM that models real B2B relationships with multi-contact profiles, AI-assisted research, and one-click portal creation—ensuring every outreach is personalized, measurable, and aligned to the pipeline.

Client Portal & Setup Screens

Client portal landing page with customized headline
Client Portal Page
Personalized prospect portal with branded messaging and curated highlights.
Client portal ROI calculator and workflow showcase
ROI + Workflow Showcase
ROI calculator and tailored workflow recommendations for each prospect.
Client setup interface with pipeline status and classification fields
Client Setup
Structured setup flow with industry classification, status, and priority controls.
Multi-contact tracking view for client stakeholders
Multi-Contact Tracking
Track multiple stakeholders with individual statuses and outreach history.
Client activity timeline with communications history
Activity Timeline
Consolidated activity timeline across LinkedIn, email, calls, and meetings.

Key Capabilities

🧠 AI Research Assistant

Quick recommendations based on industry patterns
Full research mode with pain points and tech stack insights
One-click apply to update client records and messaging

🔗 Relationship Management

Multi-contact profiles with per-contact statuses
Activity timeline across channels and outcomes
Priority contact queue to surface next actions

📈 Pipeline & Data Ops

5-stage pipeline with priority tagging and analytics
Bulk CSV import/export with error reporting
Hybrid storage for online/offline reliability

Project completed February 2026

Client-Side Security Scanner & Compliance Engine

A browser-based security scanner that inspects runtime risks, PII exposure, and compliance policy adherence across single-page applications.

15
Security Checks
33
SPA Routes
12
PII Types
4
Redaction Modes

The Problem

Traditional security scanners miss client-side risks like exposed API keys, PII in localStorage, or vulnerable DOM structures. Teams lacked a unified, in-browser view of security posture.

The Solution

A client-side scanning engine that navigates every route, evaluates 15 security dimensions, and delivers executive-friendly scoring with actionable remediation guidance.

Security Interface

Security scanner overview with risk scoring
Scanner Dashboard
Weighted security scoring with severity breakdowns and route coverage.
Security findings list with remediation guidance
Findings & Remediation
Detailed findings with evidence, severity, and recommended fixes.

Key Capabilities

🛡️ Vulnerability Scanning

15 security checks across storage, headers, and scripts
Multi-page scanning for SPA route coverage
Deduped reporting to keep findings actionable

🔒 PII & Encryption

12 PII types with confidence scoring
4 redaction modes (mask, hash, remove, placeholder)
Device-bound encryption with PBKDF2 + AES-GCM

📋 Compliance Controls

Policy framework for approvals, rate limits, and budgets
Audit trail with exportable logs
Weighted scoring with executive-friendly grades

Project completed February 2026

Media Mix Model (MMM) Platform

A production-grade media mix modeling platform that blends Bayesian inference with enterprise-grade data connectors, automated hygiene checks, and budget scenario modeling to quantify marketing impact with confidence.

Bayesian
Causal Modeling
Multi-Platform
Data Connectors
Automated
Data Hygiene
Budget
Scenario Planning

The Problem

Marketing teams juggle fragmented data sources, inconsistent attribution, and shifting budgets across channels. They need a trustworthy, end-to-end system that reconciles spend, performance, and outcomes while accounting for uncertainty and lagged effects.

The Solution

This MMM platform unifies cross-channel data ingestion, validation, and Bayesian modeling into a single workflow, producing transparent lift estimates and scenario-based budget recommendations that drive confident marketing decisions.

Workflow Setup & Executive Views

Product Walkthrough
End-to-end walkthrough of data ingestion, model execution, and scenario planning.
Media Mix Model workflow setup showing data connectors and pipeline steps
Workflow Setup
Connector selection, dataset mapping, and validation checkpoints for MMM pipelines.
Media Mix Model workflow configuration with model settings and training inputs
Model Configuration
Bayesian priors, lag structures, and training ranges configured for accuracy.
Executive dashboard summarizing ROI, contribution, and channel efficiency
Executive Dashboard
ROI summaries, confidence intervals, and contribution analysis for leadership.
Marketing performance dashboard with channel trends and spend curves
Marketing Performance
Channel saturation curves, response metrics, and optimized spend ranges.
Scenario planning view comparing budget allocations and forecasted lift
Scenario Planning
Compare multiple budget allocations with modeled lift and payback forecasts.

Key Capabilities

📊 Bayesian MMM Core

Hierarchical Bayesian models with shrinkage across channels
Adstock + saturation curves to capture lagged effects
Transparent uncertainty with posterior intervals and diagnostics

🔌 Data Connectors

Multi-platform ingestion for ads, CRM, and analytics sources
Connector health monitoring with refresh alerts and sync logs
Unified schema mapping across spend, outcomes, and touchpoints

🧹 Data Validation & Hygiene

Automated QA checks for missing, late, or duplicated data
Normalization pipelines with outlier handling and winsorization
Audit-ready logs for data lineage and model readiness

💡 Budget Scenario Modeling

What-if simulators for reallocations across channels
Marginal ROI curves to highlight efficiency thresholds
Scenario comparison with forecasted lift and payback periods

Project completed March 2026

Explore More Projects

Additional case studies and development projects are added regularly. Each project demonstrates AI-assisted development methodologies and production-ready solutions.

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