Hey! I'm
I build and ship production software — fast. A senior full-stack engineer with an AI-accelerated workflow that turns weeks of delivery into days.
I founded and led a software company — a team of ~15 engineers at peak. With a modern stack and an AI-accelerated workflow, I now deliver that same scope with 2–3 people. I've run it both ways.
~15 engineers→same scope→2–3 people
Available for contract and fixed-scope work — around 10–20 hours a week, remote, across EU and US hours.
// what I sell
An agreed scope at an agreed price, working and deployed in days rather than months.
LLMs and automation inside a product people actually use, not a demo that impresses once.
Making the systems a business already runs on talk to each other, and stay in sync.
Senior engineering judgment on the days you need it, without a permanent hire.
// track record
~15 → 2–3engineers for the same delivery scope
18 yrsshipping production software, since 2008
100+projects delivered
1000+features shipped
2008–2018
Grew it from the first paying client to a ~15-engineer team, owning architecture, hiring and delivery across the whole portfolio — and the client relationships that funded it. Ran the business side and the codebase at the same time.
2018–now
Day-to-day delivery on software that real operations depend on: offline-first field apps, AI document pipelines, computer-vision workflows and the integrations that keep separate systems in sync. Production, not prototypes.
2020–now
Fixed-scope builds, AI integration sprints and fractional tech-lead work, taken on directly. Small scopes, agreed up front, shipped.
// proof
A few things I build a lot, and how they actually work.
capture→local queue→reconcile→sync
Work is captured straight to the device and dropped onto a durable queue, so a dead connection never loses anything. When the network returns, queued events replay in order and conflicts resolve against server state — the person using it never has to think about "offline."
TypeScript · IndexedDB · service workers · REST / JWT
ingest→extract→classify→validate→report
Inbound files move through isolated serverless steps: OCR pulls the text, an LLM classifies and structures it, results are checked against reference data, and a clean report comes out the other end. Each step is retryable, so one bad input never stalls the batch.
Python · serverless · Claude API · OCR
image→on-device model→vision-LLM fallback→structured result
A fast on-device model locates and segments objects and text in a photo in real time; anything it's unsure about escalates to a vision-LLM for a second opinion. Raw pixels go in, structured and checkable data comes out.
YOLO · on-device CV · vision LLM · TypeScript
scan sources→filter→LLM-score→dedup→digest
A scheduled job sweeps multiple sources, cuts the noise with a keyword pass, then has an LLM score each item for fit with a short reason. Everything seen is remembered so nothing repeats, and a single ranked digest lands in your inbox each morning.
serverless cron · Claude API · KV store · email
source API→transform→dedup + retry→destination
Scheduled services move and reshape data between internal APIs and third-party platforms — format conversion, deduplication, retries with tracking — so systems that were never meant to talk stay in sync without anyone babysitting them.
serverless · queues · REST / SOAP · webhooks
// also: document & PDF generation · data-import pipelines · legacy API gateways · admin dashboards
// how I work
talk to users→requirements→sketch workflow→align→prototype→deploy→real use→tune
I talk to the people who'll actually use the thing, agree the workflow before anyone writes code, then get a functional prototype deployed and in real use as fast as possible. Everything after that is tuning against reality instead of guessing — which is why scope stays honest and nothing gets built for six months before someone notices it's wrong. Tasks and use cases get documented as I go.
// stack
// say hey
Got something that needs building?
→hey@lukasjanda.comUsually replies the same day. Happy to start with a 20-minute call.