Andrei Tara

DIY4U is an EU H2020 project (GA 870148) that digitalizes the formulation, production, and supply of particulate & liquid FMCG via an Open Innovation platform and digitally enabled micro-factories (“fablabs”). It enables decentralized, customer-centric design and compliant small-batch production, accelerating innovation from idea to local manufacturing. The consortium spans six industry partners and seven research groups across seven EU countries, including SINTEF (coordinator), Procter & Gamble (P&G) (industrial anchor), and the Centre for Process Innovation (CPI) (technical lead).

Trading studio designed to test, simulate, and automate algorithmic trading strategies across multiple exchanges using the CCXT framework. The platform unifies three trading modes: backtesting on historical market data, paper trading with virtual funds under live market conditions, and automated live trading through secure connections to user exchange accounts.

The system includes a library of indicator-based strategies (RSI, EMA/DEMA, MACD, Bollinger Bands, Williams %R, Stochastic Oscillator, etc.) with fully configurable parameters and risk settings for detailed optimization and performance tuning. A dedicated pattern-analysis module supports detection and evaluation of common price-action and candlestick patterns, as well as strategy logic driven by order-flow behavior.

UPSIM is an ITEA 3 (Call 6) project that makes simulation trustworthy, repeatable, and shareable for credible digital twins—supporting design exploration, virtual testing, and predictive maintenance. With secure collaboration and end-to-end traceability across tools and partners, it turns simulation into a strategic asset that improves quality, speeds time-to-market, and reduces cost. The project sits under Smart Engineering, uniting 31 partners across six countries, led by Virtual Vehicle Research GmbH with major players like Audi, Volkswagen, Bosch, Infineon, DLR, and Philips.

A framework of software modules to set up product master data repositories. Product master data repositories are used for the development, maintenance, and publication of organization-wide multilingual and cross-system product master data.

Its main responsibility is modeling items according to the ISO29002, ontoML, and eCl@ss connected to external systems (SAP, TeamCenter, etc.).

Tech stack: Java EE, Hibernate, Seam, JBoss, WebSphere, JSF, Richfaces, Oracle, DB2, SOAP, REST, JAXB, Ant, JBoss cluster, Infinispan

An enterprise eCommerce platform for Continental subdivisions to create and manage a common shopping cart for industrial procurement, centralizing approved vendor catalogs and contract pricing while enabling shared carts with role-based permissions, configurable approval workflows (cost thresholds, cost centers, multi-level sign-off), and full audit trails.

A Facebook Messenger bot that helps users find, compare, and purchase products directly in chat. The system combines an LLM for natural, multi-turn dialogue with specialized agents for intent detection, product search/recommendation, cart/checkout, and order tracking. It syncs the WordPress product catalog, supports rich replies (cards, carousels, quick actions), and hands off to a human when needed. Analytics and guardrails ensure relevant recommendations and safe responses.

A research tool used to study the network topology, user perception, and user feelings about a social media event.

Tech stack: Python, CouchDB, NLTK, and NetworkX

A social media sales accelerator platform that allows integration with eCommerce platforms (Magento and osCommerce) as well as monitoring and optimizing of the sale funnel.

Tech stack: PHP, Kohana, Facebook API, Twitter API, Magento, MySQL, Amazon AWS, Ubuntu

A startup founded in 2012 meant to offer the best solutions for telephony subscriptions for users in Australia and the UK. It allows the user to make an informed decision assisted by an intelligent algorithm.

Tech stack: PHP, WordPress, MySQL, Amazon AWS, Ubuntu, Google Analytics API

A mobile application seeking to connect users with nearby deals on restaurants and pubs.

Tech stack: JavaScript, Sencha Touch

A social game where users can create tops of friends couples.

Tech stack: PHP, Kohana, MySQL, JavaScript, jQuery

A London-based fashion eCommerce solution.

Tech stack: PHP, Magento, HTML/CSS, MySQL, Amazon AWS, Ubuntu

A mobile application used to manage files on the Amahi private cloud platform.

Teach stack: Ruby, Ruby on Rails, JavasScript, Sencha Touch 2.0, Fedora