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Polybit

@skalogir

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4.9
51

7.6

7.6

96%

Web | Mobile | AI | Trading | Blockchain

$30 USD / Hour

・

Flag of

Greece (1:41 AM)

・

Joined on June 9, 2021

・

1 Recommendation

$30 USD / Hour

・

👋 We’re a team of full-stack developers with a strong background in building modern, reliable, and scalable solutions. We feel at home working across different technologies and enjoy taking projects from idea to production. Our expertise includes: -Web Development Full-stack frameworks (MERN, MEAN, MEVN, MENN), Laravel, Flask, Django, ASP.Net, WordPress, and Ecommerce platforms. -Databases MySQL, MongoDB, SQLite, PostgreSQL, MariaDB. -Trading Development MetaTrader (indicators & strategies), Pinescript, Python, C#. -Game Development Unity and Unreal Engine for immersive game experiences. -Mobile Development React Native, Kotlin, Swift, Flutter. -WebGL & Interactive 3D Three.js, Babylon.js, PixiJS, PlayCanvas. -Mapping APIs Google Maps, Mapbox, Maptiler, NebulaGL. -Web Scraping & Automation Standalone tools and browser extensions using Python, C#, PHP, Node.js, Java, and libraries like Selenium, Scrapy, BeautifulSoup, Puppeteer, and Cheerio. -Bot Development Discord bots, Telegram bots, ChatGPT integrations, and custom chatbots. -Desktop Applications C#, Python, C++, Java, Swift.

Verifications

On time

92%

On budget

98%

Accept rate

84%

Repeat hire rate

7%

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Portfolio

Portfolio

13831261
Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

13831256
Built a Windows WPF desktop application that imports inspection photos from a connected Android phone or iPhone. Implemented a two-step workflow: (1) scan a connected device and show photo thumbnails filtered by a date range with selection checkboxes, and (2) batch rename, resize proportionally, and convert to JPEG (90% quality) while importing to a local folder. Added basic duplicate handling (overwrite/skip/cancel) and designed a clean backend structure with source abstraction so additional import rules (e.g., asset-based folders) can be added later.

Photo Importer (Android/iPhone)

13788141
Built a web-based automated code review system that combines static analysis (pylint) with AI-powered review via Ollama (Llama 3.x). The app integrates with Bitbucket Server using webhooks to capture new commits, fetches changed files via the Bitbucket REST API, runs bug detection + improvement suggestions, and stores results in a SQLAlchemy/SQLite database. Delivered a dashboard UI to browse projects/repositories and view change history (bugs + suggestions), plus supporting REST endpoints, JWT auth, background scheduling (repo polling), and real-time-ready updates with Socket.IO. Dockerized dependencies for local/dev (Bitbucket + Postgres) and documented setup.

Automated Code Review System

13788131
Built a Flask web app that turns natural-language questions over an Excel dataset into GPT summaries plus auto-generated charts and interactive maps (Folium), with a paginated/exportable data table. Uses traditional filtering + OpenAI embeddings (semantic retrieval) to power a practical RAG-style analytics experience.

Intelligent Analytics & Visualizatio

13788121
Built a full-stack AI interview simulator that generates tailored interview questions from a candidate’s CV and a target job description, then runs a voice-based Q&A session. The Flask backend parses PDF/DOC/DOCX resumes, stores session state in MongoDB, generates questions with OpenAI chat, transcribes spoken answers with Whisper (STT), and produces spoken questions with OpenAI TTS. The React + Vite frontend delivers an interactive experience with a 3D avatar (React Three Fiber/Three.js) and a Prompt Manager to tweak interview prompts in real time.

AI Interview Assistant

13788106
Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

13831261
Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

Built a NFT marketplace that automates the full flow from trend ingestion and AI image generation to IPFS metadata, ERC-721 minting, and listing APIs. I implemented a secure smart contract with role-based minting and series/edition supply control, backend admin/marketplace/partner APIs with payment-webhook confirmation, and a Next.js frontend with CMS-managed public pages, wallet handover checks, and UAT buyer credential tools for client onboarding.

AI Trend NFT Marketplace

13831256
Built a Windows WPF desktop application that imports inspection photos from a connected Android phone or iPhone. Implemented a two-step workflow: (1) scan a connected device and show photo thumbnails filtered by a date range with selection checkboxes, and (2) batch rename, resize proportionally, and convert to JPEG (90% quality) while importing to a local folder. Added basic duplicate handling (overwrite/skip/cancel) and designed a clean backend structure with source abstraction so additional import rules (e.g., asset-based folders) can be added later.

Photo Importer (Android/iPhone)

13788141
Built a web-based automated code review system that combines static analysis (pylint) with AI-powered review via Ollama (Llama 3.x). The app integrates with Bitbucket Server using webhooks to capture new commits, fetches changed files via the Bitbucket REST API, runs bug detection + improvement suggestions, and stores results in a SQLAlchemy/SQLite database. Delivered a dashboard UI to browse projects/repositories and view change history (bugs + suggestions), plus supporting REST endpoints, JWT auth, background scheduling (repo polling), and real-time-ready updates with Socket.IO. Dockerized dependencies for local/dev (Bitbucket + Postgres) and documented setup.

Automated Code Review System

13788131
Built a Flask web app that turns natural-language questions over an Excel dataset into GPT summaries plus auto-generated charts and interactive maps (Folium), with a paginated/exportable data table. Uses traditional filtering + OpenAI embeddings (semantic retrieval) to power a practical RAG-style analytics experience.

Intelligent Analytics & Visualizatio

13788121
Built a full-stack AI interview simulator that generates tailored interview questions from a candidate’s CV and a target job description, then runs a voice-based Q&A session. The Flask backend parses PDF/DOC/DOCX resumes, stores session state in MongoDB, generates questions with OpenAI chat, transcribes spoken answers with Whisper (STT), and produces spoken questions with OpenAI TTS. The React + Vite frontend delivers an interactive experience with a 3D avatar (React Three Fiber/Three.js) and a Prompt Manager to tweak interview prompts in real time.

AI Interview Assistant

13788106
Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

Built a full-stack web app that turns league CSV data into interactive maps and analytics for planning and decision-making. The backend ingests and normalizes location datasets, performs geospatial utilities, and serves API endpoints; the frontend renders a modern dashboard with map views, filters, and summary panels for travel and registration insights. Designed for fast exploration of teams/venues, boundary overlays, and data-driven comparisons across seasons.

Sports League Geo‑Analytics

4.9 · 51 Reviews
51 Reviews
S
Flag of

Sobaya S.

5.0

€500 EUR

10 days ago

ATE Test Program Support Tool

Very professional, fast, and efficient. I highly recommend them.

Python
Electronics
Django
Software Architecture
Google App Engine

+5 more

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David W.

5.0

$380 USD

11 days ago

Multi-Exchange Trading API Tool

Amazing job. good communication and good delivery

JavaScript
Python
Software Architecture
Node.js
Security

+3 more

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Syed K.

5.0

$2,000 USD

4 months ago

Expert Mobile App Developer Needed (Android/iOS

We developed an app using @skalogir from Polybit and had a great experience. He communicated clearly, understood our requirements, and delivered on time. A few adjustments from the original Figma design were needed, and he accommodated them efficiently. Professional, reliable, and flexible—highly recommended for future collaborations.

Java
Mobile App Development
iPhone
Android
Swift

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M
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Miroslav T.

5.0

$13,520 USD

4 months ago

AI Trend NFT Marketplace Development

Really amazing. Went over and above in all areas. Highly recommended.

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Michael J.

5.0

$600 USD

5 months ago

Photo-to-Desktop Photo Import Application

They completed the project to specification even more quickly than the initial expectation. Will hire again.

Mobile App Development
Android
C# Programming
Windows Mobile
Agile Development

+4 more

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Experience

Chief Executive Officer

Jun, 2020 - Present

•

6 years

Polybit

Jun, 2020 - Present

•

6 years

ERP Customisation, Selenium testing, Full Stack Development, 3D Modelling, Architecture plans, Interior Design, Photoshop.

Jun, 2020 - Present

•

6 years

Quality Assurance Engineer

Jun, 2016 - Nov, 2016

•

5 months

Amadeus IT Group

Jun, 2016 - Nov, 2016

•

5 months

Functional and sanity tests, definition of test strategy and creation of test plan within an agile team for a new restful project in the tourist industry.

Jun, 2016 - Nov, 2016

•

5 months

Software Developer

Sep, 2015 - Dec, 2015

•

3 months, 1 day

IBM

Sep, 2015 - Dec, 2015

•

3 months, 1 day

Maintenance of a Legacy System. Selenium testing.

Sep, 2015 - Dec, 2015

•

3 months, 1 day

Education

Copenhagen University College of Engineering

2004 - 2008

•

4 years

Master of Science (MS) , Computer Science

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Denmark

2004 - 2008

•

4 years

Certifications

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