Techtegrity
4+ years·Practice Area

AI

AI without the extra hires. Years as a generalist across design, development, infrastructure, and strategy mean I can take an AI initiative from idea to production without assembling a team. I build the solution, write the code, and manage the rollout — one person, full stack, real results.

Started2022
Expanded14h ago
2022
Now
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2026

I help you cut through the hype with practical, results-driven AI integration that solves real problems. Whether you need smarter workflows, intelligent product features, or a clear AI strategy, I design and build solutions that deliver measurable impact from day one. From automating repetitive tasks to building intelligent features, I bring AI capabilities that deliver real business value—not just buzzwords.

My approach focuses on pragmatic AI adoption: identifying high-impact opportunities, selecting the right tools, and building solutions that your team can actually maintain.

AI Services

Practical AI solutions that solve real business problems

Conversational AI

Custom chatbots and virtual assistants that handle customer inquiries, qualify leads, and provide 24/7 support.

Content Generation

AI-powered content creation for blogs, social media, product descriptions, and marketing copy at scale.

Predictive Analytics

Machine learning models that forecast trends, customer behavior, and business outcomes.

Process Automation

Intelligent automation that handles complex decision-making, document processing, and workflow optimization.

AI-Enhanced Development

Integrating AI capabilities into existing applications—search, recommendations, personalization, and more.

Data Intelligence

Transform raw data into actionable insights with automated analysis, reporting, and anomaly detection.

My Approach to AI

AI is powerful, but only when applied thoughtfully. My approach focuses on delivering measurable business value, not chasing the latest trends.

01

Discovery

Identify high-impact opportunities where AI can solve real problems—not just add technology for its own sake.

02

Prototype

Build rapid prototypes to validate concepts and demonstrate value before committing to full implementation.

03

Implement

Deploy production-ready AI solutions with proper error handling, monitoring, and cost optimization.

04

Iterate

Continuously improve based on real-world performance, user feedback, and evolving AI capabilities.

Responsible AI Principles

  • Transparency — Clear about what AI can and cannot do
  • Privacy — Protect your data and your customers' data
  • Reliability — Build systems with proper error handling and fallbacks
  • Cost Control — Optimize for efficiency, not just capability

Common Use Cases

Real-world applications where AI delivers measurable ROI

Customer support automation
Lead qualification & scoring
Content creation at scale
Document processing & extraction
Personalized recommendations
Intelligent search
Email & communication drafting
Data analysis & reporting
Code generation & review
Knowledge base Q&A

Technologies & Tools

Battle-tested technologies for production AI systems

OpenAI / GPT-4LLMs
Claude / AnthropicLLMs
LangchainFrameworks
Vector DatabasesInfrastructure
RAG SystemsArchitecture
Fine-tuningCustomization
Prompt EngineeringOptimization
AI AgentsAutomation

Ready to Explore AI?

Let's discuss how AI can solve your specific challenges. No buzzwords, no hype—just practical solutions.