Ali Hosseini

Maxnet

Maxnet is a web-based marketplace platform for buying, selling, and listing NFTs (non-fungible tokens). It provides users with a digital marketplace interface where approved and verified NFT collections can be viewed and traded. The system handles user wallet connection, network switching, and NFT listing interaction with blockchain smart contracts. The platform supports bundling of multiple NFTs into single transactions for bulk sales and features integrated smart contract approval flows to facilitate asset transfers.

Python . Django . PostgreSQL . Solidity . Javascript . Tailwind CSS

AI-Powered Content Generation Platform

Designed and developed an internal platform for large-scale content generation using AI. The system automated content creation workflows, reduced manual editorial effort, and supported high-volume publishing across multiple websites. Key responsibilities included backend architecture, content pipeline design, and integration with publishing systems.

Python . Django . PostgreSQL . Javascript . Tailwind CSS

Custom Multilingual CMS

Built a fully custom, multilingual content management system to replace WordPress for internal use. The CMS supported role-based access control, multi-language content, custom admin panels, and scalable content workflows. Designed with long-term maintainability and performance in mind.

Python . Django . PostgreSQL . Javascript . Tailwind CSS

Centralized Publishing & Advertising Platforms

Developed a centralized platform to manage and automate content publishing across hundreds of WordPress websites from a single dashboard. The system handled authentication, scheduling, bulk publishing, and synchronization between sites. Built a backend system to manage and automate advertisement publishing across multiple Telegram channels. The platform supported campaign scheduling, centralized management, and automated message delivery. Focused on reliability, automation, and scalability.

Python . Django . PostgreSQL . Javascript . Tailwind CSS

Sanalyze

Built a machine learning system forecasting price and directional trends across stocks, crypto, and forex. Combines 10 regression and classification models (Decision Tree, Random Forest, AdaBoost, CatBoost, SVR/SVC) with 30+ engineered technical indicators, presented through an interactive dashboard with ensemble consensus and confidence bands. Emphasis on feature engineering and model evaluation to improve prediction reliability.

Python . Streamlit . Scikit-learn . CatBoost . Plotly

Camshot

Built a real-time computer vision application detecting up to 4 faces with gender/age estimation, blink counting via Eye Aspect Ratio, and 478-point face mesh overlay. Added hand tracking with a custom distance-based algorithm for reliable finger counting regardless of hand orientation, replacing a naive angle-based approach.

Python . PySide6 . MediaPipe . OpenCV

Wallet Manager

Built an offline Python CLI tool for managing EVM wallets using the Ethereum Keystore v3 standard. You can add or remove as many networks as you want. One wallet (one address + one key) works on all of EVM-compatible networks, you just choose the network you want when receiving balance or transferring.

Python

Master of Science in Software engineering

Shahab Danesh University

September 2022 - September 2025