Cristian Brokate

I have experience utilizing data science tools to create and maintain robust data processing pipelines. I am familiar with building web applications using modern front-end JavaScript frameworks. I also have a background in managing IT infrastructure for large compute servers In my spare time, I like to build Internet of Things (IoT) applications.

What I do:

Data modelling

Regression and classification algorithms for finance and insurance French companies.
Deep learning algorithms for object detection
LSTM models for time series prediction in robotics application

Data engineering

Collect data from different kinds of sources: social networks, APIs and websites.
Save large amounts of data coming at high intensity using a differed processing pipeline.
SQL and NoSQL database management (mongodb, neo4j, oracle, MySQL, SQLite)

System management

Application deployment using docker container system
Cloud computing management using
System performance monitoring using telegraf, influxdb and grafana.

Visualization

Interactive dashboard development using javascript libraries such as d3.js, dc.js
Web applications using modern frameworks.

Last articles

Artificial Content Generation

This articles presents how to generate content using large language and vision models. The content is then shared websites and social netw..

📅 Dec 7, 2024 data science

Application revenue prediction

This article presents a study on predicting user-generated revenue within a digital application. Using gradient boosting models and a data..

📅 Oct 7, 2024 data science

Personalized Plan Care Information

Using RAG and LLM to provide accurate information about plant care.

📅 Jul 28, 2024 programming

Music playlists dashboard

This article shows how to collect data from article shows how to analyze logs using Kibana dashboards. Fluentbit is used for injecting lo..

📅 Feb 23, 2024 visualization, programming

Log analysis using Fluentbit Elas..

This article shows how to analyze logs using Kibana dashboards. Fluentbit is used for injecting logs to elasticsearch, then it is connecte..

📅 Sep 11, 2023 visualization, system manage..

Magic wand gesture recognition us..

This article aims to demystify the implementation of machine learning algorithms into microcontrollers. It uses runs a TensorflowLite mode..

📅 Jun 4, 2021 data science, programming

Hydroponic Agriculture Learning w..

New methodologies of horticulture based-on high-end technology are urgently required to transform the way in which the world is fed. In t..

📅 Dec 7, 2020 programming

TheFifthDriver: Machine learning ..

FPGA implementation of a highly efficient real-time machine learning driving assistance application using a camera circuit.

📅 Dec 7, 2020 programming

Writing notes with Vimwiki and Hu..

Vim is a simple and ubiquitous text editor that I use daily. In this article I show how to use Vim to take and publish diary notes using V..

📅 Jul 1, 2020 programming

More at my blog

Featured projects

API Personnes décédées

API for people who died in France from 1970. It has a bulk mode, to process csv files with multiple identities, which can be used to clean..

typescript express swagger

IA Flash

This artificial intelligence application detects a vehicle, its make and model in a photo and a video. It's currently used by French Gover..

python opencv pytorch sphinx

Object detection application

This application implements state of the art algorithms for object detection with a frontend application to interact with results. It can ..

python opencv angular raspberrypi chartjs

Muse

A mopidy web interface with snapcast support. The perfect excuse to use state of the art web frameworks and CI/CD workflows.

svelte sapper bulma github-actions mopidy

Grafana system monitoring

I adapted multiple monitoring components to deploy easily a monitoring system using tools like Telegraf, Collectd, Influxdb and Grafana.

grafana docker influxdb telegraf aws