An AI-first engineering company
for teams putting AI to work.
WAMO Labs is an AI-first engineering company. We design, build and run production AI systems, plus the web, mobile and cloud platforms they live in. Senior-led teams in Lahore and Austin, measured by outcomes.
AI-first and senior-led, by design
We hire engineers who have already shipped, then pair them with mentees through our Early Careers track. You get senior judgment on every model and pull request across our AI engineering services, without the revolving door.
The leadership team behind our AI work
Senior practitioners who have shipped LLM, RAG and platform work. Each owns one practice area, so you always know who is accountable.
Ali Raza
Sets company direction, including our AI-first focus, and owns the engineering standard across Lahore and Austin.
Hassan Malik
Leads commercial strategy and client partnerships, after a decade building software for regulated industries. Splits time between Lahore and Austin.
Awais Aman
Owns operations across Lahore and Austin, from delivery governance and hiring to how every client engagement runs.
Omar Sajid
Owns technical direction and architecture standards for AI systems and the platforms around them, across both offices.
Aisha Malik
Leads cloud and platform engineering, the practice that keeps our AI systems fast, secure and running in production.
Vikram Iyer
ML engineer who has shipped LLM and RAG systems to production. Sets the eval and deployment standards every AI build must pass.
Sara Rashid
Leads product design across engagements, with a focus on AI products users can trust. Works alongside engineering from day one.
Omar Siddiqui
Treats testing as part of delivery, from classic QA to LLM output checks. Decides when a release is ready to ship.
Noor Latif
Keeps day-to-day delivery on schedule: sprint cadence, team staffing and client check-ins.
Moiz Amir
Leads day-to-day AI delivery: agents, RAG pipelines, evals and the guardrails that keep model output safe in production.
Mehroz Ali
Runs an engineering team end to end: architecture calls, code review, release and on-call across client web, mobile and cloud builds.
Muhammad Haseeb Malik
Runs an engineering team end to end: architecture calls, code review, release and on-call across client web, mobile and cloud builds.
Muhammad Wajid
Runs an engineering team end to end: architecture calls, code review, release and on-call across client web, mobile and cloud builds.
Zain Ul Abideen
Runs an engineering team end to end: architecture calls, code review, release and on-call across client web, mobile and cloud builds.
Abid Ali
Runs an engineering team end to end: architecture calls, code review, release and on-call across client web, mobile and cloud builds.
Lahore and Austin offices, one rhythm
Most of our AI and product engineers work from Lahore. Austin runs client engagement and US delivery. Hand-offs follow the sun.
Studio · LahoreOur code of conduct: six rules we don't break
The operating principles behind every AI and software engagement we sign, written down so you can hold us to them.
Written hypothesis first
We agree on the problem and the success metric in writing before any code or prompt exists. For AI work, that includes the eval set.
Friday demos
You see working software every Friday, including model output on your real data. No three-month black-box phases.
Boring tech where we can
We default to well-supported tools and proven models, so your system is cheaper to run and easier to hire for. Novelty goes only where it earns its keep.
Performance is a budget
Latency and cost budgets are enforced in CI from the first commit, for pages and model calls alike. Speed isn't bolted on later.
Engineers in the room
Engineering joins design discussions from day one. No Figma-to-code wall.
We don't disappear at launch
Observability, on-call and post-launch tuning, including model drift and eval regressions. We stay until the work is operating, not just shipped.
ESG & values, in practice
What we hold ourselves to as an employer, a neighbor and a partner. Commitments we can point to, not slogans.
Growing local talent
Paid internships and a mentor-led training track bring fresh graduates and self-taught builders into senior-grade engineering.
Inclusive hiring
Structured interviews, consistent rubrics and no trivia. We screen for values, collaboration and ownership.
Efficient infrastructure
We size cloud and model infrastructure to the actual load. Less idle compute means lower cost for clients and a lighter footprint.
Security & privacy
Least-privilege access, encrypted data and audit trails by default, on our own systems and on every client build.
Transparent governance
Written decisions, clear ownership and weekly demos. Clients always know what was built, why, and what it cost.
Health & balance
Generous leave, wellness support and hybrid flexibility, because sustainable pace ships better software.
Awards & recognition, measured in outcomes
The recognition we value most is a client who comes back. Here is what our AI and engineering record looks like, from LLM applications and AI agents to AI solutions by industry.
150+ solutions shipped
AI integrations, web and mobile apps, and cloud builds delivered to production since 2021.
35+ clients served
Across HealthTech, FinTech, E-commerce, SaaS, Logistics and Travel, many of them on multi-year engagements.
Audits passed clean
Client builds taken through HIPAA and SOC 2 Type II audits, including a HIPAA audit passed without findings.
Two studios, one bar
Lahore and Austin teams held to the same engineering standard, from first PR to production on-call.