From idea to production. Software consultancy that delivers.
I sit with you, learn your goals, and riff off what you tell me. Not a requirements checklist — a real conversation where ideas start to take shape. I’ll come with questions you haven’t been asked yet.
What tools are in play? What data exists? What are people actually doing day-to-day? I map the landscape so the solution starts from your reality — not whiteboard imagination.
I leverage what you already have instead of rebuilding from scratch. The goal is impact with the least complexity. Then I build it — end-to-end — and put it in your hands.
You lead a team at a small-to-mid-size company. You know your technology could be doing more — you just need someone who speaks plain English, understands the business, and builds the most practical solution for the problem you actually have.
Manual processes that feel like they should be faster. Copying data from one system to another by hand. Pulling numbers from PDFs into spreadsheets. Waiting until Friday for a report that could update in real time.
Operations data locked in places you can't reach. The information exists — spreadsheets, inboxes, vendor portals. A question that should take five minutes takes someone half a day to answer.
Curious what's possible with what you already have. You don't necessarily need new tools. You need someone to look at what's there and show you what's within reach.
You need a translator, not just a builder. Whether it's your internal team, a vendor, or a contract dev shop — things get lost between what the business needs and what gets built.
You have an idea you want to build from scratch. You've got the concept. You need someone who can take it from a conversation to a shipped product.
Find the actual problem. Pick the right tool. Ship in weeks.
Team of 30+ running sequential shell scripts by hand. Built a Python orchestration framework that auto-detected inputs and chained every step into a single command.
“Not a people problem. An orchestration problem.”
Credit card auth system needed failover validation. Team scoped months of Java. Reframed as a replay problem — Python engine comparing real transaction decisions.
“The production stack is Java. The validation doesn’t have to be.”
Accuracy data existed but was unreadable. Built the full stack — data parsing, backend, cloud deploy, Charts.js frontend — so leadership could self-serve readiness status.
“Visibility shouldn’t require a meeting.”
Campus recruiting was subjective and didn’t scale. Applied engineering rigor to a people problem — rubric-based scoring, two independent review passes, stacked rankings across 100–150 candidates per cycle.
“The same rigor that works in code works in operations.”
Real Chicago data, turned into something useful.
I'm Ali. I have over a decade building production systems — Capital One, Microsoft, Hopper. These days, anyone can prototype. Experience is how it gets to production. Correctly, securely, and on time.