I'm Jesus.

Founded Jestor.watch, and built data analysis tools to trade restored luxury watches. Heavily driven by content, an aggressive social media strategy and programmatic tactics to source goods inspired by quant analysis and stock trading.

• Web: Developed a fast e-commerce platform using Rust, Astro, Islands architecture, server-side-first rendering strategy, and secure 3rd party payment APIs (Lemon Squeezy, Paddle, Snipcart, Stripe, Google Pay).
• Data analysis: developed custom quant-analysis likish code to fusion data and signals from eBay/Terapeak/Amazon/Etsy/WorthPoint/Chrono24 APIs, programmatic real-time bidding and sentiment analysis with Python used to analyze trends and source the most collectable and desirable timepieces and assign them very attractive prices compared with the rest of the internet. (contact me if you are interested in obtaining a license for this software and how I can adapt it to your business needs).
• Business: Accounting, inventory management, international shipping, GDPR, customer care, branding, company creation.
• Marketing/Social: SEO-first web design, search engine optimizations, RSS feeds, OpenGraph, hi-resolution macro video editing, hi-quality directional and contact audio recording, social media engagement and monetization (Youtube, Instagram, TikTok...), custom web and assets design.
• Horology: fault finding, oiling, watch repairing, jeweling, chemical and mechanical cleaning/derusting, gold/nickel/silver electroplating, metal polishing (mirror, brushed and satin finishes), additive metal grow using argon arc welding (used to repair local dents/corrosion on watch cases), epilame treatment, Valijoux/ETA 7750, Venus 175/178, Poljot 3133, mechanical and automatic movements (swiss and pin lever only, no quartz), chronograph complications.

Working independently (no agency). My clients include the following industries:

• Client 1: Scientific Machine Learning industry.
• Client 2: Edge AI/ IOT industry.
• Client 3: Educational Sass industry.
• Client 4 (current - until the end of November 2024): Film Industry.

Extended information about my contracting experience can be provided privately.

Running JavaScript & NodeJS Cambridge group:

• Leading the organisation of this popular meetup group in Cambridge
• Fundrising
• Finding speakers
• Doing presentations and introductions
• Networking

In this role, I am leading the development of Alchemite Analytics™ platform, a fullstack kubernetes application consiting of a React + TypeScript frontend and a Node.js + GraphQL backend.

• Line management and team leadership.
• Wrote features using TypeScript, React, Node.js and GraphQL.
• Facilitated Sprint Plannings and Scoping Meetings.
• Introduced a Continuous Delivery deployment pipeline to the company.
• Hired fullstack and frontend developers for the company.

For a consultancy project I developed, from scratch, Alchemite Lite™, an Edge AI imple- mentation of our platform for embedded systems:

• Wrote an Edge AI firmware for the chip nrf528332 from Nordic using C language.
• Built a hardware demonstrator for our Edge AI product using a nrf52-DK board.
• Optimized the code so it fits within the RAM and ROM constraints.
• Worked with our team of machine learning engineers to integrate their ML in the chip.
• Handled weekly customer meetings.

Intellegens is a spin-out from the University of Cambridge that has developed a unique deep learning method (Alchemite™) for training neural networks from incomplete data. Suitable for deployment across any kind of numeric dataset, Alchemite™ is delivering ground-breaking results in drug discovery, advanced materials, patient analytics and predictive maintenance.

I was hired to start, from sratch, the development of Alchemite Analytics™, a web platform used to train, deploy and visualize machine learning models from sparse and noisy datasets:

• Defined the programming languages and main libraries to use: TypeScript and React.
• Implemented the design mockups using paper wireframing, Procreate and Mockup App.
• Implemented React components and the initial design language of the platform.
• Designed and implemented a GraphQL backend on top of Node.js.
• Designed and implemented a Continuous Integration (CI) pipeline using Docker, Kubernetes, CircleCI and a Monorepo architecture on GithHub.

Repositive is changing the way genetics researchers discover and interact with human DNA data. Data access is difficult and time consuming, a bottleneck for advances in cancer and genetic diseases research. Our ambition is to provide a data access process so smooth, it will be as simple as ’one click to DNA data access.

I developed a web platform for categorizing, searching and sharing PDX cancer models within a team of 8 developers:

• Developed a large Ember.js frontend application using JavaScript and Redux.
• Developed API endpoints in a custom backend with TypeScript and Postgres.
• Worked close to our Team Lead to help to refactor monolithic backend services into an event-sourcing DDD microservices architecture.
• Writing unit and acceptance tests with Mirage and BDD tests with Cucumber.
• Designed a mobile-first demonstrator of our PDX platform using React.js, Redux and Bulma.

I am participating in the CIKM AnalitiCup 2017. It is a challenge organised by Alibaba cloud where the participants have 4 months to predict short-term rainfall amount using Machine Learning algorithms applied to radar images.

• Radarplot: A library to read the CIKM AnalaytiCup 2017 dataset (https://github.com/jpcano/radarplot)
• Radarweb: Used for data visualization (https://github.com/jpcano/radarweb). Demo: https://jesus.engineer/radarweb

Working as a Developer Relations in a company that looks to understand developers through the code they have written. They analyse the code of +6 million developers using Machine Learning algorithms and help over 100 customers get introduced to developers

• Assesed technical skills of around 1000 engineers from San Francisco, Germany, France, UK, Russia, Spain and India.
• Hired 6 engineers
• Handled regular meetings with our customers to understand their needs.
• Developed tools using Python, Qt and BigQuery to speed up the process of finding developers. One of those apps is called Resourcer (https://github.com/jpcano/resourcer).

Leading cloud hosting company in Spain and a growing force throughout Latinamerica.

I ported an HEVC/H.265 video decoder to ARM and Texas Intruments DSPs, measured its performance and optimized it by using the Advanced SIMD instructions.

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File I/O • Functional programming concepts • Python data structures • Python exception handling • Python data types • Code debugging • Magic methods • Python namespaces • Pythonic design patterns • Python decorator functions • Object-oriented design patterns • Object creation design patterns • Python virtual environments • Web services • Application servers • Pythonic design patterns • Object creation design patterns • PIP • Abstraction • Flask • PEP 8 • Modular code • Application routing • Python package management • Inheritance • Application dependency management • Python modules • Fetching data • REST APIs

Programming. Video coding.

Image processing, computer vision and embedded systems.

Electronic communication systems.

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Motivate & inspire employees • Coach and develop staff effectively • Resolve conflicts quickly • Build and lead high performing teams • Gain enthusiastic co-operation • Resolve performance issues quickly and effectively • Delegate tasks with confidence • Organise your time and workload