VLADISLAV PAREIKO — iOS DEVELOPER — TBILISI, GE — 41.7151°N 44.8271°E

I build the app.
And everything under it.

Name: BP Diary
Price: 0.99 USD
Author: Vladislav Pareiko

Independent iOS developer. Swift and SwiftUI on the surface. Underneath: four years of Python backends, cloud infrastructure and AI engineering. Two apps live, three on the bench.

001swift build -c releaseok
002terraform applyapplied
003docker compose up -dhealthy
004celery workerready
005coreml modelloaded
006ship now

See the apps ↓

9:41

‹MeasureCARRY-ON

ARPlane
horizontal +x +y +z 54.8 cm 38.6 cm 21.0 cm

CABIN LIMIT55 × 40 × 20 cm

Over by 1 cm.

Try the side pocket.

✕ DEPTH

9:41

SUNDAY, 19 OCTOBER

Today

MORNING READING

128/82

mmHg · 64 bpm · 08:12

LAST 7 DAYS

MTWTFSS

● Systolic● Diastolic

Reminders08:00 · 20:00

NotesAfter coffee

Export report for doctor (PDF)

9:41

LABEL · READ

INGREDIENTS · 5 DECODED

Sensitive · Dry

AquaA
GlycerinA
NiacinamideA
PhenoxyethanolB
Parfum (Fragrance)flagged for: sensitive skinC

9:41

MAKEMA

A train travels 120 km in 90 minutes. How fast is it, in km/h?

Hint: how many hours is 90 minutes?

Your answer

ENRUESDEFR

9:41

New note

● 02:14

“…book the flight to Batumi, send Nika the invoice, and we’re out of coffee filters.”

SummaryTo-doEmail

Book flight to Batumi
Send invoice to Nika
Buy coffee filters

SCAN 58%

Fig. 0 — Luggify, surface and substrate. Drag the line.

02 — PRODUCT LINE5 UNITS · 2 SHIPPING

Small apps.
Built properly.

Each one does a single job and does it without fuss. Two are on the App Store. Three are on the bench, getting the same treatment.

LGY-01● LIVE

Luggify

AR LUGGAGE SCANNER

Point your phone at a bag. Get its real size and a straight answer: does it fit the airline's cabin limit?

PLATFORM: iOS
CATEGORY: Travel
PRICE: $1.99
STATUS: ● Live on the App Store

App Store ↗

BPD-02● LIVE

BP Diary

BLOOD PRESSURE DIARY

A simple, private log for your readings, with clean reports you can export and hand to your doctor.

PLATFORM: iOS
CATEGORY: Health
PRICE: $0.99
STATUS: ● Live on the App Store

App Store ↗

INC-03○ IN DEVELOPMENT · 2026

InciWise AI

INGREDIENT SCANNER

Photograph a label. Get the INCI list decoded and graded against your skin profile.

PLATFORM: iOS
CATEGORY: Skincare
STATUS: ○ On the bench

Get notified

MKM-04○ IN DEVELOPMENT · 2026

Makema

TUTOR

AI hints that nudge instead of answering, plus a home-screen widget. In five languages.

PLATFORM: iOS
CATEGORY: Education
STATUS: ○ On the bench

Get notified

TQN-05○ IN DEVELOPMENT · 2026

TaqNote

AI VOICE NOTES

Talk. It transcribes on-device, then turns it into a summary, a to-do list or an email draft.

PLATFORM: iOS
CATEGORY: Productivity
STATUS: ○ On the bench

Get notified

03 — SCANNING pareika.app

Every app
has a
second
half.

04 — SUBSTRATEPYTHON · CLOUD · DATA · AI · 4 YEARS

The stack behind
the apps.

Before the apps, I spent four years on the part nobody screenshots: APIs, queues, pipelines and the cloud they run on. Now all of it goes into my own products.

CLIENT  ┌─────────────────────────────┐
        │ iPhone · Swift / SwiftUI    │
        │ ARKit · WidgetKit · Core ML │
        └──────────────┬──────────────┘
                       │  HTTPS · JWT
API     ╔══════════════╧══════════════╗
        ║ FastAPI · Django · DRF      ║
        ╚══════╤═══════════════╤══════╝
               │               │
ASYNC   ┌──────┴──────┐ ┌──────┴──────┐  AI
        │ Celery      │ │ LLM · NLP   │
        │ Redis · MQ  │ │ OpenAI      │
        └──────┬──────┘ └─────────────┘
               │
DATA    ╔══════╧══════════════════════╗
        ║ PostgreSQL · MySQL · Mongo  ║
        ║ Airflow · Kafka · pandas    ║
        ╚══════════════╤══════════════╝
                       │
INFRA   ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
        AWS · Azure · GCP · Terraform
        Docker · GitHub Actions · GitLab CI

Fig. 1 — Where the apps run. Select a layer.

30→5MIN
release time, zero downtime
<150MS
API latency, 25+ endpoints
1.2S→200MS
MySQL query
−60%
backend blocking (Celery + Redis)
10K+
async tasks / day
99.99%
uptime (Azure IaC)
−80%
manual ops (Terraform on AWS)
5MIN
analytics data freshness

FIG. 2

Same person, three files.

The fit check in the app, the endpoint it calls and the function that keeps airline limits fresh.

struct FitCheck: View {
    let bag: Measurement
    let limit: CabinLimit

    var body: some View {
        Label(bag.fits(limit) ? "Fits the cabin" : "Over by \(bag.overflow(limit))",
              systemImage: bag.fits(limit) ? "checkmark" : "xmark")
            .contentTransition(.symbolEffect(.replace))
    }
}

@router.get("/limits/{airline}", response_model=CabinLimit)
async def cabin_limit(airline: str, db: AsyncSession = Depends(get_db)):
    limit = await db.scalar(select(Limit).where(Limit.code == airline))
    if limit is None:
        raise HTTPException(404, "Unknown airline")
    return limit

resource "aws_lambda_function" "limits_sync" {
  function_name = "limits-sync"
  runtime       = "python3.12"
  handler       = "app.handler"
  timeout       = 30
}

✓ deployed · 5 min pipeline · zero downtime

Fig. 2 — The same feature, three layers deep. Illustrative, not production code.

05 — LOG2022 → NOW · git log --oneline --since=2022

Four years of
load-bearing work.

Mostly backend, always in production. Read it like a changelog: newest first.

2025 → NOW Independent — pareika.app iOS developer 2 live · 3 on the bench

Designing, building and shipping my own iOS apps end to end: SwiftUI, AR, on-device ML, and the backend when an app needs one.
Luggify and BP Diary are on the App Store; InciWise AI, Makema and TaqNote are on the way.

Swift · SwiftUI · ARKit · WidgetKit · Core ML · Python

MAR → OCT 2025 News Analysis Platform (start-up, Israel) Backend developer release 30 → 5 min

Deployed AWS infrastructure via Terraform (EC2, API Gateway, Lambda, IAM, S3), which cut manual ops by more than 80%.
CI/CD with GitHub Actions + Docker Compose: zero downtime, releases from 30 to 5 minutes.
JWT auth and a REST API of 25+ endpoints under 150 ms; MySQL queries from 1.2 s to 200 ms.
Celery + Redis async jobs cut backend blocking by 60%.

Python · FastAPI · MySQL · Celery · Redis · AWS · Terraform · GitHub Actions

AUG 2023 → MAR 2025 Cloud Document Management (B2B, outstaff) Backend developer 99.99% uptime

Secure Azure Blob Storage document lifecycle with soft/hard deletion and access-based recovery.
Azure IaC templates cut manual configuration by 70%, with 99.99% uptime.
Celery + Redis workers handling 10K+ async tasks a day: OCR, analytics, document processing.

Python · Django · DRF · Azure · Celery · Redis

JAN → AUG 2023 Internal Analytics Platform (Apache Superset) Backend developer 5-min data freshness

Real-time analytics on Apache Superset for project KPIs and backlog metrics.
ETL pipelines MySQL → PostgreSQL via AWS Lambda and cron, with 5-minute data freshness.
KPI dashboards covering cycle time, task closure rate and blocked tasks.

Python · Superset · PostgreSQL · MySQL · AWS Lambda

JAN → AUG 2022 Big Data Processing Platform Data integration engineer −60% source onboarding

Terabyte-scale ETL pipelines from APIs, S3 and GCS.
Dockerized Airflow DAGs automating ingestion and normalisation across multiple clusters.
Custom connectors that cut new data source onboarding by 60%.

Python · Airflow · Docker · pandas · S3 · GCS

Also: English (B2) · Russian (native) · Node.js · GitLab CI · RabbitMQ · Kafka · BigQuery · Pytest

06 — CONTACTTBILISI --:--:-- GMT+4

Let’s build something
worth opening.

iOS apps, backends that need to stop being on fire, or both at once. I reply to every email myself, within 2 business days.

Say hello ↗

parieiko.vlad@gmail.comOPEN MAIL APP ↗

LinkedIn ↗Luggify on the App Store ↗BP Diary on the App Store ↗

I build the app. And everything under it.

Small apps. Built properly.

Luggify

BP Diary

InciWise AI

Makema

TaqNote

Every app has a second half.

The stack behind the apps.

Same person, three files.

Four years of load-bearing work.

Let’s build something worth opening.

Or send a brief.

I build the app.
And everything under it.

Small apps.
Built properly.

Every app
has a
second
half.

The stack behind
the apps.

Four years of
load-bearing work.

Let’s build something
worth opening.