You will get n8n / Zapier Workflow Build — Self-Hosted or Cloud
Project details
**What you'll get**
A discovery + scoping path toward a custom n8n, Zapier, or Make workflow that replaces 5–20 hrs/week of manual ops. Starts with a 5-day pilot: a live workflow against your real operation, with hours-saved baseline measured before kickoff. Pilot fee credits toward kickoff for the 1–3 week build.
**The problem this solves**
Most automation work ships without a baseline. "It works for our use case" is the modal claim, with no measurement of whether it actually replaced the manual work — and no error handling for the day the upstream API shape shifts. The version that runs unattended is built with hours-saved measured before kickoff, fallback paths in the handoff, alerts wired so you find out before stakeholders do.
**Why DatVerse**
Representative engagement: an n8n workflow that cut quote turnaround from 2 business days to under 3 hours for the 80% of requests that classify cleanly (reported by client). Patterns: documented ROI agreed before kickoff, error handling in the handoff not buried inside the Zap. 10 years, 25+ workflow builds. 30-day post-ship support.
**Next step**
Send a brief — workflow, systems, hours-per-week cost. 20 minutes to see if it's a fit.
A discovery + scoping path toward a custom n8n, Zapier, or Make workflow that replaces 5–20 hrs/week of manual ops. Starts with a 5-day pilot: a live workflow against your real operation, with hours-saved baseline measured before kickoff. Pilot fee credits toward kickoff for the 1–3 week build.
**The problem this solves**
Most automation work ships without a baseline. "It works for our use case" is the modal claim, with no measurement of whether it actually replaced the manual work — and no error handling for the day the upstream API shape shifts. The version that runs unattended is built with hours-saved measured before kickoff, fallback paths in the handoff, alerts wired so you find out before stakeholders do.
**Why DatVerse**
Representative engagement: an n8n workflow that cut quote turnaround from 2 business days to under 3 hours for the 80% of requests that classify cleanly (reported by client). Patterns: documented ROI agreed before kickoff, error handling in the handoff not buried inside the Zap. 10 years, 25+ workflow builds. 30-day post-ship support.
**Next step**
Send a brief — workflow, systems, hours-per-week cost. 20 minutes to see if it's a fit.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included $500
These options are included with the project scope.
$500
- Delivery Time 7 days
- Number of Revisions 1
About Qamer
Senior Software Engineer | SaaS & Mobile Apps | AI, React, Node.js
Houston, United States - 8:08 pm local time
10 years on production systems, 50+ projects shipped: SaaS platforms, web and mobile apps, AI agents and automations, and the data pipelines underneath them. I work with B2B SaaS, fintech, healthcare, logistics, and manufacturing teams across the US, EU, and MENA, and I lead every engagement personally at DatVerse — a small team of senior engineers picks up parallel workstreams when a build needs the pace.
Recent named work: CLEAQUES, a Laravel marketplace connecting African producers to the US/Canada diaspora; JDM Buy/Sell, a marketplace serving thousands of independent JDM sellers; On Target Clinical, an integrated EHR + billing + payroll platform for behavioral-health practices; and DFIN AI Services, backend AI for financial-filing ingestion and retrieval. Specific clients under NDA — anonymized case-study PDFs on request. Live links to each are in the portfolio below.
━━━ 1 · SaaS, web & mobile products ━━━
• Multi-tenant B2B SaaS with row-level access, subscription or usage-based billing, and idempotent Stripe webhooks
• Startup MVPs that hold up past launch
• iOS and Android apps: React Native as default, native Swift/Kotlin when the build needs it
• AI features inside live SaaS products: in-app chat, RAG search over a customer's own data (in-product, not standalone agents)
• Admin panels, APIs, and product-side backend services
Stack: React, NextJS, TypeScript, React Native, NodeJS, NestJS, PostgreSQL, Supabase, Stripe, AWS, Vercel
━━━ 2 · AI agents & workflow automation ━━━
• AI agents that pull from your CRM via API, enrich, decide, and write back: lead qualification, support routing, ops triage
• n8n, Zapier, and Make workflows that replace 5–20 hours of manual work per week
• Chatbots and Twilio Voice agents wired into booking and support systems
• Standalone RAG search and Q&A tools, with retrieval quality measured against ground truth, not asserted
Stack: n8n, LangChain, LangGraph, OpenAI API, Claude API, Python, Twilio, WhatsApp Business API, pgvector
━━━ 3 · data engineering & BI ━━━
• Cloud data warehouses on Snowflake, BigQuery, Databricks, or Microsoft Fabric — architected for cost and query performance
• ETL / ELT pipelines with ADF, dbt, and Airflow; warehouse migrations off Oracle, SQL Server, and Teradata
• Streaming pipelines on PySpark Structured Streaming
• Power BI and Tableau on a governed semantic model instead of 40 one-off dashboards
Stack: Snowflake, dbt, Apache Airflow, ADF, SQL, Python, Power BI, Tableau
━━━ who this is for ━━━
• Pre-seed to Series A founders shipping a first or second product
• Ops or RevOps leads automating a 20–100-person services business
• Data or analytics leads whose warehouse is slow, expensive, or no longer trusted
━━━ recent work ━━━
• A multi-tenant B2B SaaS, empty repo to first paying customers in around 10 weeks. Stripe billing, role-based access, Postgres, NextJS + NestJS
• An AI feature inside a live Series A SaaS product: RAG search over each customer's own uploaded documents, shipped as a paid-tier add-on
• A WhatsApp + Twilio Voice chatbot for a two-location clinic: books, reschedules, and escalates when needed — handling about 60% of after-hours inbound
• An n8n workflow routing quote requests for a services business: turnaround cut from 2 business days to under 3 hours for the 80% that classify cleanly
• A SQL Server + Oracle migration onto Snowflake with dbt and Airflow: the 4-hour nightly batch now finishes in under 30 minutes, with about 20% lower compute spend
• A Tableau consolidation: 40+ dashboards collapsed into a governed semantic model; multi-minute refreshes down to sub-minute
━━━ how I work ━━━
1. A 20-minute discovery call: the goal, the first milestone, and the failure mode worth worrying about
2. A $500 scoping memo — 3 pages: current state, proposed architecture, first-milestone breakdown with timeline and cost. Credited back if you proceed
3. A fixed-price first milestone (3–5 days). If what lands doesn't match the brief, the engagement stops there — you keep the work, I cover the time
4. Weekly demos in the live product, not a slide deck; async Loom updates and written notes between
5. Onboarding into your workspace (Slack, Teams, or Jira) from day one
6. Handoff with docs, CI/CD, and a 30-day support window: anything regressing from acceptance criteria fixed at no change order
If that's your build, send a short brief — we'll book 20 minutes to see if it's a fit, both sides.
Steps for completing your project
After purchasing the project, send requirements so Qamer can start the project.
Delivery time starts when Qamer receives requirements from you.
Qamer works on your project following the steps below.
Revisions may occur after the delivery date.
Brief + 20-minute scoping call
You send a brief on the workflow, the systems, and the hours-per-week cost. The DatVerse team runs a 20-minute call to scope the workflow shape and pick the measurable target (hours saved on the highest-volume slice).
5-day pilot against your real workflow
Over 5 working days the team ships a live workflow in n8n (self-hosted or cloud), Zapier, or Make. Error handling, alerts, and fallback paths documented in the handoff package, not buried inside the Zap.