Humza Khan — Resume

— INTRODUCTION

I'm an applied AI systems engineer with eight years across distributed systems, financial data platforms, mobile security, and production AI tooling.

I build the whole surface area: user experience, backend architecture, data flows, agent harnesses, and production infrastructure.

— HOW I WORK WITH AI

Two harnesses, each role routed to the model that fits (Claude / Codex)

— BUILDING NOW

Technical Co-founder · Leads engineering end to end

Lead engineering for an AI-powered property inspection platform that turns walkthrough media into evidence-backed reports in minutes.
Built the workflow for media capture, AI-assisted damage detection, report generation, and centralized property records.
Reduced inspection reporting from as long as five days to a few minutes.

— ALSO BUILDING

Syndic ↗ · Mobile orchestration for cloud coding agents, goals, templates, and scheduled workflows.
Provenant ↗ — provenance and audit chains for long-running financial agents.
Fauxbooks ↗ — reconcilable synthetic financial datasets at scale.

— TECH STACK

Current: Go · TypeScript · Python · Postgres · pgvector · React · Next.js · Tailwind
Experienced: Java · Scala · Kafka · Spring Boot · ElasticSearch · GraphQL · AWS · Terraform · Docker · Redis · Airflow · Kudu

— PROFESSIONAL EXPERIENCE

Lookout Inc ↗·Aug 2022 — 2024·2y

Redesigned the core ingestion service, cutting $60K/yr in operating costs while sustaining data from ~12M devices.
Automated compliance workflows, returning 6–8 engineering hours/week per person to product work.
Cut client-facing API latency 55% (batched requests, DB partitioning) and infrastructure spend 30% through smarter compute use.
Stood up DataDog observability, lifting system visibility 35–45% with cross-channel alerting.

Revelate ↗·Mar 2019 — Jul 2022·3y 5m

Built and scaled a real-time trade-analytics engine processing 200–400M messages/day across NYSE, NASDAQ, and TSX.
Cut metrics delivery from 30m to 12m by reworking the data store and orchestration (Airflow, Athena, Kudu) into a T-15min pipeline.
Drove ARR by shipping a custom real-time DataTable — filtering and infinite scroll — for CME Group.
Protected query-engine cost with a circuit-breaker mechanism.

Self-Employed ↗·May 2016 — 2021·5y

Drove a SaaS MVP to launch as the linchpin engineer, stretching across backend, infrastructure, frontend, and product strategy to hit every deadline. The client called it "the sole reason it was delivered successfully."
Took a UK telecom leader's new fibre-optic product from concept to MVP in record time, owning architecture and build end-to-end on an aggressive timeline.
Turned ambiguous requirements into execution-ready architectures, delivered ahead of deadline; one client noted the work was "completed prior to the expected end date with the highest quality of work."
Earned a 100% five-star track record across every engagement, consistently rated by clients as accountable, reliable, and committed to quality.
Brought finance and cybersecurity depth to high-stakes data platforms: petabyte-scale data monetization and Transaction Cost Analytics for institutional traders, plus a real-time engine ingesting 500M+ trade messages/day.
See real partner reviews on Upwork →

Muballigh Travels·Nov 2016 — Jan 2018·1y 3m

Digitized core manual operations with custom web tooling, replacing slow manual workflows.
Built RESTful APIs (Node.js, ASP.NET Web API) and a ReactJS client on top of them.

Geneve Travel & Tours·May 2015 — Aug 2016·1y 4m

— REFERENCES

Applied AI Systems Engineer