
Your team is drowning in manual work
and your AI demos keep breaking?
I build software that automates the stuff that's killing your team's productivity. If you're a SaaS company or startup spending hours on emails, scheduling, or data entry—and your AI experiments haven't worked—let's fix that.
What I work with
Who I Help & What I Fix
SaaS companies and startups drowning in manual work. Teams that tried AI but got broken demos. Businesses that need automation that actually works, not promises.
Stop Losing Deals to Slow Manual Work
I led a team where sales reps were spending 20+ minutes per email and still missing deals. The problem wasn't just speed—it was consistency. I built a RAG pipeline that learns brand voice from past emails and company data. The result: emails that took 20 minutes now take 3 minutes, and response rates went from 12% to 28%. The team closed 2.3x more deals because they could finally personalize at scale.
Fix the Chaos Before It Kills Your Growth
I worked with a startup where double bookings were killing customer trust. Their data lived in five spreadsheets, and the booking system crashed every time traffic spiked. I led the backend team to rebuild the infrastructure—proper database design, caching layers, and error handling. Result: zero double bookings in 6 months, and the system handled 10x traffic without breaking. No more 3 AM emergencies.
From Broken Demo to Working Product in Weeks
A company came to me with an AI demo that looked great but broke every time real users touched it. I led the engineering team to rebuild it properly—not as a demo, but as a production system. We added proper error handling, monitoring, and fallbacks. What took them 3 months of failed attempts, we shipped in 4 weeks. Now it handles 10,000+ requests daily without issues.
Real Problems, Real Results
Here's how I've helped SaaS companies automate manual work and fix broken AI demos. These are actual projects with measurable results.
AI Email Generator That Actually Works
Outcome
85% less time on emails (20 min → 3 min), 2.3x more responses (12% → 28%), team closed 2.3x more deals
Challenge
Their sales team was spending 20+ minutes on each email and still missing the mark. They were losing deals because they couldn't personalize fast enough. The team tried three different AI tools, but none learned their brand voice properly.
Solution
I led the engineering team to build a RAG pipeline that actually works. We scraped their past emails, brand guidelines, and company data using Stagehand. The system learns their tone and generates emails that sound like them—not generic AI. I led the team through proper error handling, monitoring, and fallbacks so it works in production, not just demos.
AI Booking System That Saves Time
Outcome
Zero double bookings in 6 months, 40% fewer no-shows, bookings happen 3x faster, system handles 10x traffic
Challenge
They were drowning in scheduling chaos—double bookings, missed follow-ups, and customer info scattered across five spreadsheets. Their previous booking system crashed every time traffic spiked, and customers were losing trust.
Solution
I led the backend team to rebuild everything from scratch. We designed a proper database schema, added caching layers, and built an AI booking engine with smart reminders. I led the team through proper error handling and monitoring. The system now handles 10x traffic without breaking, and all customer data lives in one place.
What I Know
The tools and tech I use to build things that work.
GenAI & LLMs
- RAG/GraphRAG Pipelines & Vector Search
- AI Agents & Orchestration
- Prompt Engineering
- Function Calling & Tool Use
- LangChain / LlamaIndex
Backend & APIs
- Node.js / NestJS
- Python / Django
- Golang
- RESTful / gRPC / GraphQL / WebSockets
- Microservices Architecture
Infrastructure & DevOps
- AWS / GCP
- Terraform / IaC
- Docker / Kubernetes
- CI/CD Pipelines
- Message Queues (RabbitMQ, SQS)
Data & Storage
- PostgreSQL / MySQL
- Vector Databases (PGVector)
- MongoDB
- Redis
- ETL (Glue, Lambda, Step Functions)
Who I Am

I lead engineering teams to build software that solves real problems. When a SaaS company's sales team was losing deals because emails took 20+ minutes each, I led the team that built an AI system that cut that to 3 minutes and doubled response rates. When a startup's booking system kept crashing and causing double bookings, I led the backend team that rebuilt it—zero crashes in 6 months.
I've been building production systems since before AI became a buzzword. I know the difference between a demo that looks cool and software that actually runs when your users need it. Databases, APIs, error handling, scaling—all the boring stuff that makes things work. But more importantly, I know how to lead teams to ship these systems on time.
Here's what I do: I take broken AI demos and manual processes and lead teams to turn them into systems people use daily. I've led teams that built email automation saving 20+ minutes per message. Booking systems that eliminated double bookings completely. RAG pipelines that answer questions correctly 95% of the time. The proof is in the results—2.3x more deals closed, 40% fewer no-shows, systems that handle 10x traffic without breaking. If you're tired of promises that don't deliver, let's talk.
Approach
Demo → Production
Background
Backend Roots
Focus
Agentic Workflows
Education
BSc Applied Math, YSU
Tired of Manual Work Killing Your Team's Productivity?
If you're a SaaS company or startup drowning in emails, scheduling chaos, or broken AI demos, let's talk. I build automation that actually works—not demos, but systems your team uses daily.