Umberto Loria

Lead developer of the Hirooks Platform. Role: distributed architecture, development, infrastructure deploy. Define coding standards, maintain GitHub repos and docs. SSO and services integrations (such as Stripe). I first developed an MVP, then the complete architecture. Near-zero downtime deploys. Frontend on React: monorepo with multiple web-apps. Legacy data migration. TypeScript, KeyCloak, MySQL, Next.js + React + Material UI, Ant Design, Vue.js + Quasar, Sails.js + Waterline, Stripe, PHP + PrestaShop

During ERASMUS+ Development of Office & Warehouse & Customer-relationship Management platform. Managing food products (avoid food waste in warehouse), customer orders (retail & wholesale), orders to suppliers, employee data, fuel-saving routes for internal drivers. Data analysis tool used by Delicatezza and its partner companies. Ecommerce redesigned (+ responsive), discounts and wholesale-retail pricing separation, page speed impr. PHP 7, MySQL, CSS, HTML, jQuery + AJAX, JavaScript, Shopify + Liquid

Landing page for the new “Delicatezza Welcome Pack” product and related features. Technologies: Liquid, HTML, CSS, jQuery.

August. Re-design of contents and responsive design for ecommerce, page speed optimization, new business logics added like discounts and wholesale-retail pricing separation. Technologies: CSS, HTML, JavaScript, Shopify + Liquid.

Development of a modular and intuitive CMS for this charity to be used for its website. Technologies: PHP, MySQL, HTML, CSS, jQuery + AJAX.

Thesis: Using Inverse Lyndon factorization for computing Suffix Array. I investigated on the advantages of using the Canonical Inverse Lyndon Factorization (ICFL) for computing Suffix Arrays of genomic strings. Proposed (and demonstrated) a SACA algorithm (written in Rust) called PT-SACA, defining a novel data structure called Prefix Tree. Thesis topics: Combinatorics, Computational genomics, Data structures for bioinformatics. During the first three years I studied while working in Hirooks.

Thesis: Preliminary study of the k-fingers capabilities in catching similarities in genomic sequences. Studied the variants of Lyndon Factorization, and how to integrate them with MinHash and MASH tool to perform comparative analysis of genomic strings, to maximise the similarity capture while having a dimensional reduction. Thesis topics: computational genomics, combinatorics. Preferred topics: OOP, functional programming, distributed programming, enterprise and cloud... (more on CV)