Learning Engineer Colombia
Resume:
Resume
Personal details
Manuel Gilberto García
Moreno
***********@*****.***
cl 3 # 4 - 26, 152260 Tibasosa
December 16th, 1996
Duitama, Boyacá
Male
Colombia
Unmarried
linkedin.com/in/
manuel-garcía-moreno-7003...
Skills
Docker
Node js
Python
React js
Google cloud
platform
Github
Gitlab
Docker compose
Profile
I consider myself a friendly, responsible, companionate and hardworking person. I am very tidy and every day I like to learn new things as well as to improve myself as a person.
I like sports, food and meeting people. One thing I have noticed is that I don't like to waste time, I always like to be doing something, taking advantage of the time to study, work, develop new ideas or improve in my weak points. I’m a Senior Full Stack Developer oriented in Machine Learning and NLP. I consider myself responsible, compassionate and hardworking. Always trying to take advantage of time, learning and developing new ideas or improving solutions towards clients requirements and excellence. Education
Aug 2014 - Mar 2020 Systems and computer engineering Universidad pedagógica y tecnológica de Colombia,
Sogamoso
Employment
Sep 2018 - Present Machine learning engineer
Servicios Externos, Lima, Perú
Machine learning engineerInitially I started as a full stack engineer, developing apis in back-end,
gaining experience in node, react, express, axios. I was also developing python backend, in which I
learned to develop in python, use flask and many
python modules.
I configured modules for log management with
elastic and fluentd.
About machine learning models, I developed
adaptations of models for the needs of the
company, in which, I worked with Speech to text
and Text to speech models, acquiring knowledge to
put them into production.
All the modules I developed were dockerized, which gave me enough knowledge to be able to work with
Docker and docker-compose being able to
dockerize any module.
I also worked with Google Cloud Platform and
learned how to use instances, storage service, load balancers, ML engine and many other features
offered by this platform.
Everything we work with is in repositories, from
there I learned to use Github and Gitlab, so I have enough experience to work with any of these
technologies.
I have the facility to adapt models to the needs
according to the required problem, making it
scalable and easy to implement.
React native
Firebase
Adaptation of ML
models
End to end
systems
Scalable ML
models
Languages
Español
Ingles
Hobbies
Exercise
Travel
Learn
Going out with friends
Eat
Listening to music
I have experience with react, react JS and react
native, I have develop several web pages for
internal usage, and android application.
With react JS, I have worked with firebase as data base and storage, this i avoid the use of a server. actually I am working in a en to end solution,
configuring and developing the necesario services
for the product under development, Although with
the devops role, i do not have much experience, I
manage to fulfill the tasks
I am worked in a en to end solution, configuring and developing the necesario services for the product
under development, Although with the devops role, i do not have much experience, I manage to fulfill the tasks.
I have experience with docker and
docker-compose, all the products developed in my
actual work, should be put in a container, include the ML models, for easy deployment.
I have worked, with multiple container's
configuration with docker compose and with internal networks for their communication, as is the case
with the tensorflow model server and the models,
put in the production.
All containers are configured for expose and
API-rest or web socket, for realtime inferences.
All the ML models that I have worked on are
scalable, because in the product I am working on, I must maintain a good understanding, since they are calls in real time and also have a low response rate. Taking into account that high effectiveness and high efficiency are difficult to achieve.
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