Switch to English?
Yes
Переключитись на українську?
Так
Переключиться на русскую?
Да
Przełączyć się na polską?
Tak

Oleksandr Liuliava

Offer Oleksandr work on your next project.

Ukraine Lvov, Ukraine
1 day 15 hours back
Available for hire available for hire
age 27 years
on the service 1 day 18 hours

Rating

Successful projects
No data
Average rating
No data
Rating
424
HTML & CSS
664 place out of 5609
Javascript and Typescript
375 place out of 3481

Skills and abilities

Portfolio


  • 4000 USD

    Socrates

    Web Programming
    an intelligent AI platform for internal communication in private companies. The platform unites all employees and offices into a single smart workspace. Main functionality:

    Intelligent chat with perfect context and profile memory
    Company-wide search, document analysis
    Voice calls, reminders, integrations
    A single powerful AI model that knows the company, team, and facts
    Quick, accurate answers without fluff and hallucinations

    Socrates for everyone as a chat, but it can also serve as an assistant in Telegram or on the website as well as a unifier.
  • 5000 USD

    LustSwipe

    Web Programming
    Developed a modern AI dating messenger LustSwipe in the style of Tinder.
    Main features:

    Swipe mechanics (left/right)
    Real-time chat with AI girls
    Image generation of girls on-the-fly
    Each girl has a unique personality, background, and style
    System of likes, energy, and store
    Beautiful dark design with atmospheric anime/realistic girls
  • 7500 USD

    Palma

    Web Programming
    Developed a modern virtual casino web platform called Palma.
    Main features:

    50+ provably fair games (Roulette, Blackjack, Plinko, Mines, Crash, Dice, and others)
    Virtual currency COCO
    Deposits and withdrawals via cryptocurrency
    Modern dark design with neon effects
    Responsive interface
    Full backend + frontend
  • 20 000 USD

    MicHelper

    Web Programming
    B2B SaaS platform for AI analysis of conversations
    of salespeople in physical retail.

    How it works:
    — The salesperson wears a microphone during their shift
    — The mobile app records conversations
    — VAD filters silence (reducing API costs by 69%)
    — Groq Whisper transcribes audio
    — AI analyzes the quality of conversations and identifies issues
    — The manager receives an automatic report every morning

    Technical stack:
    Node.js, React, TypeScript, PostgreSQL, Redis,
    Groq Whisper v3, Claude/Qwen AI, Capacitor
    (Android APK), REST API, WebSockets

    288,000+ lines of production code.
    Developed entirely independently in 1 year.
    Active pilot in 6 stores.

    #nodejs #react #saas #ai #javascript