I'm Jesus.

Working with my client in the Scientific Machine Learning sector.

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.

Programming. Video coding.

Image processing, computer vision and embedded systems.

Electronic communication systems.

• JavaScript / Node.js
• React.js / Ember.js
• TypeScript
• C
• Rust
• Python
• REST, GraphQL, OpenAPI
• Jest / Testing Library / Cypress / Pupeeteer
• CircleCI / GitHub Actions
• Docker / Kubernetes / Helm
• Google Cloud / AWS
• Embedded Systems (nrf52, Nordic Semiconductors)
• Machine Learning
• Edge AI