’18
Started out in Lahore
Joined a team in Lahore and started building for the web. First real codebase, first real deadlines, first time seeing code go live.
8 years ago
The Full-stack & AI Engineer. That’s Farzam.
Working closely with your team to ship software that merges product thinking, engineering and long-term reliability.
About me
My journey.
Scroll — the line draws the story.
’18
Started out in Lahore
Joined a team in Lahore and started building for the web. First real codebase, first real deadlines, first time seeing code go live.
8 years ago
’20
First freelance work
Took on my own clients for the first time. Working for yourself and working for someone else turn out to be two completely different jobs.
6 years ago
’21
Past the simple stuff
Moved from sites into applications with real users — auth, payments, background jobs, and the class of bug that only ever shows up in production.
5 years ago
’22
Owning it end to end
Stopped taking tickets and started taking features: architecture, implementation, review, and the pager that follows. Began mentoring instead of only being mentored.
4 years ago
’23
Going deeper technically
Went deep on the parts that decide whether software survives — data modelling, performance, observability, and shipping without breaking what already worked.
3 years ago
’24
Got married
Life outside the editor changed. Having something worth logging off for made the hours at the keyboard noticeably sharper.
2 years ago
’25
Became a father
My daughter arrived. Life-changing in the way everyone warns you about and nobody quite manages to explain. Priorities reordered themselves overnight.
1 year ago
Now
The journey continues
Building AI systems and full-stack products designed to keep running long after launch.
What you get
More than code shipped.
01
A senior engineer, start to finish
The person who scopes the work is the person who writes it and reviews it. Nothing gets handed off to whoever is free.
02
AI built like critical software
Failure paths, retries, review gates and observability designed in from the start — not bolted on after the first outage.
03
Full-stack ownership
Web, mobile, cloud and data. Features land complete rather than stopping at the edge of someone's speciality.
04
Written decisions
Architecture notes you keep, so the reasoning behind the build outlives the conversation it came from.
05
Code you own outright
Your repository, your infrastructure, your accounts. No lock-in, no black boxes you can't open.
06
Straight answers
If something is a bad idea, or outside what I should be doing, you hear it early rather than after the invoice.
Selected work
Built to perform.
01Legal / contract intelligence
Contract intelligence pipeline
Pulls contract PDFs from Drive and bulk uploads, unpacks nested archives and attachments, then walks each document through a chain of explicit LLM stages — citation extraction, deal typing, vendor identification, overlap and amendment detection, redaction checks.
Ruby on Rails 7.2HotwireSidekiqPortkeyOpenAI
02Executive coaching
Retrieval-backed coaching assistant
A Slack-native assistant that answers from a curated coaching corpus rather than from whatever the base model remembers — vector search over embedded source material, with scheduled nudges pushed to users on a cadence.
PythonFastAPILangChainOpenAIAnthropic
03Sales enablement
Voice roleplay trainer
Reps practise live sales calls against an AI counterpart: speech in, transcription, a scenario-conditioned model turn, synthesised speech back — a full conversational loop that has to feel like a phone call, not a chatbot.
PythonFastAPILangChainOpenAIElevenLabs
04Marketing technology
AI marketing console
Streaming AI chat that plans campaigns, generates creative, and reads live performance data back out of an ad platform — with two billing providers behind it and a typed service boundary in front of the ad API.
Next.js 14TypeScriptVercel AI SDKOpenAIReplicate
05Academic research
Credit-metered research summariser
Uploads research papers, summarises them, and bills by word count — one-time credit packs and subscriptions running against the same metered balance.
Ruby on Rails 7HotwireSidekiqOpenAIStripe
06Assessment / edtech
Exam proctoring vision service
A computer-vision microservice that watches exam video for face presence and anomalies, called synchronously by the Rails assessment platform that owns the exam session.
PythonFastAPIOpenCVYOLOv8Docker
Clients
In their words.
Farzam has done a tremendous job. He's reliable, a great communicator, and an excellent developer. He goes the extra mile and actively thinks along while creating new functionality. He's an asset to any company building high-quality software.
We hired Farzam initially for a Rails project and have kept working with him for more than a year since. Great communication, strong technical skills, dependable full-stack work. I'm continually impressed by his thoughtful approach and the speed at which he ships updates and features.
Farzam is absolutely wonderful to work with. He thinks and acts like an owner — going above and beyond expectations. I can't wait to work with him again and highly recommend him!
Farzam brought a great deal of expertise to our booking-platform build. Communication was prompt and responsive, with a genuine desire to understand and support the growth of our business.
He understands and lives customer satisfaction — available, listening, making sure we shared an understanding, and constantly delivering above expectations. I highly recommend Farzam for reliability and professionalism.
This is the third time we've collaborated with Farzam. Once again every need was met and the job was completed within the schedule and budget expected. Reliability cannot be overstated in our industry.
Really enjoyed working with Farzam. The work was done quickly, communication was great, and I'll definitely work with him again. Highly recommend.
FAQ
The things people ask.
Yes, and I'd rather say so plainly: that's what Agentic Engineering means. Agents make the work faster; I review, test and own everything that ships. The speed is real, and so is the review discipline that makes it safe. Nothing reaches your repository unreviewed.
Most AI work you'll be shown is a prompt wrapped in a UI. Ask what happens when the model provider times out mid-job, whether a long pipeline resumes or restarts, and who reviews a wrong answer before a customer sees it. Those three answers are designed in from the start here, because they're what decides whether the thing is still running next quarter.
Full-stack, and deliberately not married to one. React, Next.js and TypeScript on the front; Node, Ruby on Rails and Python/FastAPI on the back; Postgres and Redis underneath. On the AI side: OpenAI, Anthropic and LangChain. In the AI era the stack is far less of a constraint than it used to be — the problem picks the tools.
Either a fixed estimate against a written scope, or a monthly retainer for ongoing work. You see the estimate before you commit, and the written scope is yours either way.
Often, yes. It starts with a paid review: what's salvageable, what has to be rewritten, and what that will cost. You get that in writing before either of us commits to anything bigger.
I'd rather be honest about capacity than overcommit and miss dates. If your timeline needs more than I can genuinely give it, I'll tell you before we start rather than halfway through.
Got a project? Let’s talk.
Farzam A. · 2026 · Lahore, PK