Challenge

A tech news publisher needed to scale content production from 5 articles/week to 20+ without increasing editorial overhead. Manual research and writing was becoming a bottleneck.

Solution

Built an automated pipeline that:

• Aggregates RSS feeds from 8+ tech/AI sources
• Filters for AI-relevant content using relevance scoring
• Uses OpenAI GPT to generate article summaries and key points
• Automatically publishes to WordPress on a schedule
• Includes SEO optimization and category tagging

Results

The pipeline now handles 20+ articles per week with minimal oversight. Editorial team focuses on high-value pieces while automation handles routine updates.

Challenge

An e-commerce site was experiencing slow page loads (avg 8+ seconds) and high bounce rates. Core Web Vitals were failing, impacting SEO and conversion rates.

Solution

Conducted a performance audit and implemented:

• Plugin optimization (removed 12 unused plugins, optimized query-heavy ones)
• Image optimization (WebP conversion, lazy loading, CDN integration)
• Caching strategy (object cache, page cache, CDN cache rules)
• Database cleanup and query optimization
• PHP opcode caching configuration

Results

All Core Web Vitals now pass, SEO rankings improved, and bounce rate dropped by 35%. Site is now mobile-friendly and fast across all devices.

Challenge

A consulting firm needed to help their team quickly find answers from 500+ internal documents, case studies, and process guides. Traditional search wasn’t surfacing relevant context.

Solution

Designed and implemented a Retrieval-Augmented Generation (RAG) system:

• Ingested and chunked 500+ documents with semantic chunking
• Built vector embeddings using OpenAI and stored in Pinecone
• Created a FastAPI service with context retrieval and GPT-4 generation
• Implemented query routing and re-ranking for accuracy
• Built a simple web UI for team access

Results

Team productivity increased significantly. The system now handles 200+ queries per day and has reduced time spent searching for information by 90%.

Challenge

A SaaS startup was receiving 50+ lead inquiries per day. The sales team was spending 2-3 hours daily manually qualifying and routing leads, creating a bottleneck.

Solution

Built an automated lead triage system:

• AI-powered lead scoring using company data and inquiry context
• Automatic enrichment with company size, industry, tech stack
• Intelligent routing to appropriate sales rep based on territory and expertise
• Integration with Notion CRM and email notifications
• Summary generation for quick context

Results

Sales team now focuses on high-value conversations instead of manual data entry. Lead conversion rate improved by 25% due to faster, more consistent follow-up.