Hi, I'm Jsabahu
BSc Physics | MSc AI Engineer | Data & Analytics Full Stack
Physicist with a Master's in Intelligent Interactive Systems and a Postgraduate Degree in Artificial Intelligence with Deep Learning. Specialized in machine learning and computer vision, with experience in full-stack development and data engineering.
Background
Physics -> AI
Physics background, AI focus, software engineering mindset.
Physicist with a Master's in Intelligent Interactive Systems and a Postgraduate Degree in Artificial Intelligence with Deep Learning.
Specialized in machine learning and computer vision, with experience in full-stack development and data engineering. Skilled in Python and Java, with a strong problem-solving mindset and a focus on continuous learning.
Skills
Professional Experience
Industry roles and responsibilities
Lead, Data & Analytics Full Stack Engineer Current
Design and development of data & analytics solutions for chatbot systems. Full-stack development with Vue.js and Python on AWS. Built and maintained CI/CD pipelines with Jenkins, applying TDD. Integrated Amazon Lex for chatbot functionalities.
Data Engineer
Designed and managed ETL workflows with Informatica Powercenter. Managed and optimized Redshift databases and applied data modeling techniques (Snowflake and Star schemas). Built Python automations, integrated data from multiple sources, optimized ETL performance, and maintained technical documentation.
Junior Java Backend Developer
Worked on a high-traffic API handling millions of daily requests. Developed a churn prediction model using MindsDB and machine learning and integrated it into the main API. Created and maintained MySQL and ClickHouse databases and supported production troubleshooting.
Education
Academic background
Ongoing
Final project: Autonomous Driving Vision - Lane Detection and Object Recognition with Deep Learning.
Final project: Self-supervised Monocular Depth Estimation in 360 images.
Final project: Classifying astronomical sources with machine learning.
Selected Projects
Academic projects extracted from CV and LinkedIn education details.
Autonomous Driving Vision
Lane detection and object recognition with deep learning (final project, UPC postgraduate).
Monocular Depth Estimation (360deg)
Self-supervised monocular depth estimation in 360 images (final project, UPF master).
Astronomical Source Classification
Classifying astronomical sources with machine learning (final project, UB bachelor).