• Hi!
    My name is Sebastian

    On this page I want to share a litle more about me and my projects

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  • I am a data scientist and machine learning enthusiastic.

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About Me

Who Am I?

Hi I'm Sebastian Correa As an experienced AI engineer and product manager, I specialize in machine learning, neural networks, and deep learning with a focus on pattern recognition, natural language processing, and computer vision. My passion for AI product conceptualization and product management drives me to develop innovative solutions that meet the needs of both businesses and consumers. Alongside my AI expertise, I also build web applications with Python and Django as well as PostgreSQL databases. Additionally, I develop mobile applications for AI solutions using iOS-Swift and Android-Java, and I have experience working with React-Native.

My technical skills extend beyond AI and include data analysis, programming languages such as Python, and various machine learning frameworks. I am a strong communicator who can effectively convey complex technical concepts to both technical and non-technical stakeholders. I am dedicated to continuously improving my skills and expanding my knowledge in the field of AI and machine learning. I excel in collaborative, cross-functional team environments and have a proven track record of delivering innovative and effective solutions to complex problems.

Data Scientis

AI Product Manager

Python

iOS Developer

Collaboration is key. As an AI product manager, I value working closely with team members and stakeholders to ensure effective communication and successful project outcomes.

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My Specialty

My Skills

AI Expertise

90%

Strategic Thinking

85%

Communication

85%

Leadership

80%

Python

95%

Keras

95%

Tensorflow

98%

OpenCV

90%

JavaScript

70%

Django

75%

X-Code

80%

Swift

70%
Education

Education

Universitat Politècnica de València

The Master is divided into four lines. Recognition of Forms, image processing, computer vision and biometric techniques. Artificial Intelligence, intelligent systems design and application of artificial intelligence techniques to solve problems. Digital image and computer graphics, synthetic image, virtual reality and augmented and video games. Language technologies and in particular automatic translation and processing systems and search in large collections of documents.

Projects:

  • Face recognition system
  • Identification of automobile models using bi-linear models.
  • Aggressiveness detection in tweets

TFM:

  • Implementation in mobile devices of neural networks for the detection of facial emotions.

University EIA

Mechatronic engineering is based on the design, commissioning and maintenance of intelligent, efficient, reliable, safe and versatile mechatronic systems, through the development of automation and production flexibility technologies, as well as intelligent robots, monitoring systems and computer-aided control, and the design of large-scale prototypes, equipment and processes using CAD / CAM / CAE tools and PLM systems.

Projects:

  • Automated House
  • Electric Car
  • Fruit and vegetable packing machine

TFG:

  • Software integration for a robotic manipulator using G codes

Next University

Create web pages from scratch, identifying and applying different methodologies. Build interactive and dynamic websites and develop attractive websites, geared towards different mobile devices. Mastering the schemes and uses of modern web reference models.

  • Strategic Applications of IT Project & Program Management, edx, 2021

  • Executive Data Science, Coursera, 2019

  • Deep Learning in Python, DataCamp, 2018

  • Supervised Learning with scikit-learn, DataCamp, 2018

  • Intermediate Python for Data Science, DataCamp, 2018

  • Machine Learning, Stanford University Coursera, 2016

  • Data Science and Machine Learning Essentials, Microsoft through edX, 2016

  • Intro to iOS App Development with Swift, Udacity, 2016

  • Learn Swift Programming Syntax, Udacity, 2016

  • Introduction to computer vision, Universidad Carlos III de Madrid through edx, 2016

  • Introducción a C++, Microsoft - DEV210x through edx, 2016

  • Autonomous Navigation for Flying Robots, Technische Universität München through edX, 2015

Experience

Work Experience

AI Product Manager 03/2022-Current

Identified customer needs and market opportunities, conducted market research, and gathered customer feedback to understand what product features and functionalities they desired. Defined the product vision and strategy, leveraging insights from cross-functional teams including product committees, technology experts, designers, and software developers. Maintained contact with the market by engaging in customer conversations, exploring the market and competition, attending trade shows, and gathering relevant feedback. Created and led cross-functional teams to bring the product to market, maintain it, and drive its evolution. Managed the product development process, including creating product roadmaps, prioritizing features, and ensuring timely delivery within budget. I was responsible for launching and post-launch management, including pricing, promotion, and distribution. I also analyzed and reported on product performance, using data and analytics to track product performance and make recommendations for future improvements. Finally, I maintained product documentation throughout its lifecycle, including production and operating costs.

Product Owner and AI Engineer 10/2020-02/2022

Develop innovative algorithms and solutions in biometrics and antispoofing. Lead the technical direction of the team's technology. Develop long-term plans and strategies in facial biometrics and antispoofing. Defining and prioritizing product features and requirements based on customer needs, market trends, and business goals. Collaborating with cross-functional teams, including developers, designers, and stakeholders, to ensure timely delivery of high-quality products that meet customer expectations. Acting as the primary point of contact for product-related inquiries and issues from customers, internal teams, and stakeholders. Ensuring that the product meets legal and regulatory requirements, as well as industry standards and best practices. Providing leadership and guidance to the product team, including coaching, mentoring, and professional development opportunities.

Engineer and researcher in artificial vision 08/2018-09/2020

Develop innovative algorithms and solutions in biometrics and antispoofing. Lead the technical direction of the team's technology. Develop long-term plans and strategies in facial biometrics and antispoofing. Collaborate with cross-functional teams in Technology and Operations to bring research solutions to end-users. Mentor junior engineers. Participate in cutting-edge research in biometrics, antispoofing, deepfakes, generative AI, etc.

Master's Practices 02/2018-07/2018

Master's final project development. Design and development of deep learning applications for mobile devices. Computer Vision, Neural Networks, development in SWIFT.

Development manager at Metis Consultorest 03/2016-08/2017

Leader and developer of web applications team, for the aeronautical sector applications for registration, collection, visualization and prediction of movement of passengers and  aircraft in airports. Python , Django, PostgreSQL.

Research associate at University EIA 01/2017-07/2017

Data analysis of access records to low-amount financial credits. Data cleaning by detecting anomalies, normalization, classification and standardization. Construction of regressive models and classification by SVM and neural networks to evaluate future candidates. Photographic survey, data processing and analysis for the project, Precision of digital elevation models obtained with low cost drones.

Engineer of Technological Projects at Unión Eléctrica 10/2015-03/2016

Project. Analysis of the thermal behavior of coverages in urban environments using unmanned aerial vehicles (UAV's). Manipulation and design of unmanned aircraft. Usages of GIS tools and information processing.

Research at University EIA 01/2015-10/2016

Resident engineer of technological projects, assembly, management of resources and personnel for the project; Implementation of a Facial recognition, LPR and conventional analytical system for the Medellín City Hall and Police.

My Work

Projects

Computer Vision Projects

Computer Vision

Face Detection Models

Machine Learning

Agressive Mexican Tweets

Depp Learning

Drowsiness detection system

Computer Vision

Pitch Perfect

iOS App's

Demo Web Pages

AI Web App's
Read

Papers

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2018 | Data Scientis

Linguistic generalization of slang used in mexican tweets, applied in aggressiveness detection

In Proceedings of the Third Workshop on Evaluation of Human Language Technologies for Iberian Languages (IberEval 2018), CEUR WS Proceedings.

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2018 | Data Analisys

Thermal analysis of urban land cover using an unmaned aerial vehicle (UAV) in Medellin, Colombia

Journal of Urban and Environmental Engineering (JUEE).

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2019 | Deep Learning

NLP: twitter sentiment analysis with Tensorflow

Medium Post

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2019 | Deep Learning

Bilinear CNN models in TensorFlow-Keras

Medium Post

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2019 | Deep Learning

Cosine Learning rate decay

Medium Post

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2019 | Deep Learning

BERT TensorFlow implementation

Medium Post

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2019 | Deep Learning

ELMO TensorFlow implementation

Medium Post

Get in Touch

Contact

scorrea92@gmail.com

Pamplona, Spain

+34 678281085

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