Senior AI Product Engineer & B2B SaaS Architect
Shipping production-ready B2B SaaS and internal tools 10x faster
I'm Ben Neshat — a US-based Senior AI Product Engineer with 25+ years in tech. I build production systems, not demos. No ChatGPT wrappers. No prototypes that die after the pitch.
What I Build
B2B SaaS MVPs
Multi-tenant platforms with Auth0 SSO, role-based permissions, and workflow automation. From zero to production-ready MVP in 2–4 weeks. Built for founders who need to ship, not slide-deck.
Multi-Agent AI Orchestration
Prompt routing across GPT-4, Claude, and Gemini based on task type, cost, and latency. Unified API layer with failover logic, token tracking, and response caching.
Computer Vision Systems
Automated inspection pipelines — defect detection, barcode/QR validation, OCR extraction. Deployed in regulated manufacturing environments. Reduced manual inspection time by 85%.
FastAPI Backend Architecture
Async SQLAlchemy, HMAC-SHA256 middleware, APScheduler, pluggable data providers. Built for throughput, security, and zero-downtime deployments on managed Postgres.
The Starting Point
Before I write a line of code, I map the system.
Most failed projects don't fail because of bad code. They fail because nobody planned the architecture before sprint one. Submit your project brief — I deliver the blueprint async. No calls required.
- Full technical roadmap — stack selection, data flow, integration points
- AI/ML feasibility assessment — what should be automated, what shouldn't
- Infrastructure and deployment recommendations, cost-optimized
- Prioritized build plan with scope, timeline, and risk flags
- Submit your project brief — I review everything async
- Loom video walkthrough delivered with the blueprint
Credited toward any build engagement over $5,000.
Submit Your Project →Case Studies
Results across industries.
98% Error Reduction with AI Vision
Built a custom 4-layer computer vision verification system (barcode decode → PaddleOCR → rules engine → Gemini VLM) for a high-volume manufacturing facility. The system automatically scans, verifies, and sorts parts by specification, eliminating manual label checks. Zero mislabeled parts after deployment.
150% Organic Traffic Growth
Comprehensive technical SEO audit identified 47 critical issues including canonical URL conflicts, missing schema markup, and Core Web Vitals failures. Implemented systematic remediation and built out 200+ targeted keywords. Page 1 rankings for 85% of target keywords within 6 months.
Pricing
Transparent pricing. No surprises.
- You submit a project brief — I review async within 24 hours
- Written architecture blueprint
- Stack + data model + API design
- Deployment & cost recommendations
- Loom video walkthrough of the full blueprint
- Full-stack SaaS MVP or internal tool
- Auth, payments, dashboards
- AI integration & automation
- Production deployment + CI/CD
- Documentation & handoff
- Infrastructure maintenance
- AI model updates & optimization
- Bug fixes & feature iterations
- Async Loom & message support
- Monthly progress reports
How I Work
Solo operator. Agency-grade output.
I orchestrate AI coding agents — Cursor, Claude Code, v0 — to compress what used to take a 4-person agency into solo delivery. You get one senior engineer who owns the full stack, architecture through deployment, with the throughput of a small team.
No handoffs. No account managers. No mandatory calls. You get async Loom walkthroughs, written updates, and direct message access to the person writing your code.
ASYNC-FIRST · NO CALLS REQUIRED · SUBMIT → BUILD → DELIVER
Ben Neshat
25+ years at the intersection of software engineering, manufacturing, and data science. I've automated CNC workflows, built ML-powered quality control systems that process thousands of parts daily, and architected full-stack SaaS platforms from zero to production.
I work directly with every client. No account managers, no junior analysts. You get the engineer who built the systems behind the results.