Godwin Oudo

Most projects start with messy data. Spreadsheets, exports, logs, scans. I take that raw material, clean it up, structure it, and put it where your system can actually use it. CSV into a database. Unstructured text into records you can query. Deduplication and validation. You get data that is ready to work with, not files you have to open by hand.

Workflows that run on their own and do what they are supposed to without you watching every hour. Built on n8n with clear rules. A step only fires when its conditions are met, so nothing double runs or skips. Alerts go where you want them. Anything destructive waits for your approval first. You describe the flow and I build the pipeline.

Software that acts on your behalf in the background. Watches a page for changes and tells you when something moves. Monitors a channel and reacts. Pulls data from a source on a schedule and delivers it where you need it. They follow rules you set. When something is out of band, they bring it to you instead of guessing.

PDFs are a pain to work with. Tables split across pages, layouts that change, scanned pages that are just pictures. I pull what is actually in them. Line items, totals, dates, names, reference numbers. Into clean structured data you can import. Works on invoices, statements, reports, forms, anything that arrives as a PDF and needs to become something you can use.

Spoken audio turned into text you can actually read and use. Calls, meetings, interviews, voice notes. Recorded or live. I handle the whole pipeline from recording to final text. I separate speakers where it matters and format the result so it is usable, not a raw dump you have to clean up yourself.

Finding and qualifying prospects at scale, within the rules you set. Research a list, enrich it with the data points that matter to you, score or filter it, and hand you a list you can actually act on. Not a spray and pray dump. A targeted list with context, checked before it reaches you.

Intelligence built into your own stack, running on your hardware. Local language models, searchable memory over your documents, agents that follow multi-step workflows and know when to ask before acting. Ollama, Qdrant, pgvector. Everything on your machine, no data leaving your control. Useful when the work needs judgment, not just a rule.

Systems that run entirely on your hardware. Docker, n8n, Ollama, PostgreSQL, Redis, Qdrant. All on localhost. No SaaS dependencies, no telemetry, no vendor lock in. You own the stack end to end. The right call when data sensitivity, cost, or control matter more than convenience.

Honest guidance on architecture, stack choices, and system design. I review what you have, tell you what is solid and what is fragile, and recommend a path that fits your actual constraints. Not a generic best practice deck. If a choice will cause pain later, you hear it now. If something is already good, I say so.