Projects & Work

A selection of my recent projects and technical solutions. Each project represents unique challenges overcome and skills applied.

E-Commerce Platform

A high-performance e-commerce platform built with microservices architecture, handling 1M+ monthly users.

Node.jsReactMongoDBAWSDocker

Code Live demo

Real-time Analytics Dashboard

A responsive dashboard for visualizing real-time data using WebSockets and D3.js. Used by marketing teams to monitor campaign performance.

TypeScriptReactD3.jsWebSocketsFirebase

Code Live demo

Task Management System

A collaborative project management tool with real-time updates, role-based permissions, and advanced filtering.

Next.jsGraphQLPostgreSQLRedisTailwind CSS

Code Live demo

AI-Powered Content Recommendation

An AI system that analyzes user behavior to provide personalized content recommendations. Increased engagement by 32%.

PythonTensorFlowReactFastAPIAWS

Code Live demo

Serverless Image Processing

A scalable, cost-efficient image processing pipeline using serverless architecture. Handles 500K+ daily uploads.

AWS LambdaS3CloudFrontNode.jsSharp

Code Live demo

Developer Documentation Portal

An interactive documentation portal with code examples, API playground, and versioning support.

DocusaurusReactOpenAPIAlgoliaGitHub Actions

Code Live demo

Detailed Case Studies

Deep dives into selected projects with detailed information about challenges, solutions, and outcomes.

Scaling an E-Commerce Platform to 1M+ Users

How we rebuilt and scaled a legacy e-commerce system to handle 10x traffic

Challenges:

Legacy monolithic architecture, poor performance during traffic spikes, inconsistent data across services

Solution:

Implemented microservices architecture, event-driven communication patterns, and horizontal scaling

Outcome:

400% improvement in page load times, 99.99% uptime during Black Friday sale, 32% increase in conversion rates

Read full case study

Building an AI-Powered Recommendation Engine

Creating a personalized content recommendation system that increased user engagement by 32%

Challenges:

Cold start problem, real-time processing of user behavior, balancing model accuracy with performance

Solution:

Hybrid recommendation approach combining collaborative filtering and content-based methods, incremental model training

Outcome:

32% increase in user engagement, 28% longer session duration, 15% higher retention rates

Read full case study

Client Testimonials

What clients and colleagues say about working with me

John's technical expertise was instrumental in modernizing our legacy systems. His ability to understand complex business requirements and translate them into elegant technical solutions is remarkable.

Sarah Johnson

CTO, TechInnovate Inc.

Working with John on our e-commerce platform redesign was a game-changer. His technical leadership and focus on performance optimization resulted in a system that handled our holiday traffic with ease.

Michael Chen

VP of Engineering, RetailPlus

Interested in working together?

Have a project in mind or looking for technical expertise? Let's discuss how I can help you achieve your goals.

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