145 lines
4.3 KiB
Markdown
Executable File
145 lines
4.3 KiB
Markdown
Executable File
# Eduardo Cueto Mendoza
|
||
|
||
Flat 2~~~<br/>~~~
|
||
236 North Circular Road~~~<br/>~~~
|
||
Dublin 7, Co. Dublin~~~<br/>~~~
|
||
P: +353 (087) 434-7184~~~<br/>~~~
|
||
cueto303@gmail.com
|
||
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
##### PhD Researcher
|
||
At the moment doing research on neural networks and convex optimization,
|
||
learning Julia and Rust. Playing Red Dead Redemption 2 and L.A. Noir.
|
||
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
## Education
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
|
||
#### Technological University Dublin
|
||
##### Current
|
||
##### PhD Computer Science
|
||
|
||
My current work explores the interaction of DNN and their energy
|
||
efficiency and size in storage/memory. I am currently exploring methods
|
||
that combine Topological Data Analysis into the generation of slimmer
|
||
architectures, also simultaneously profiling state of the art architectures
|
||
to fully understand the interaction of hardware and the amount of energy
|
||
consumed. The former data is compared with other classical or other variations
|
||
of the architecture to truly see if the increment in accuracy/precision does not
|
||
require an exorbitant amount of energy (compared to our gains).
|
||
|
||
#### Centro de Investigación en Computación - IPN
|
||
##### Aug 2016 - Jun 2018
|
||
##### Master in Computer Science
|
||
|
||
Learned state of the art machine learning algorithms and natural language
|
||
processing techniques. Thesis work was done towards the computational
|
||
relationships of group theory and natural languages.
|
||
|
||
#### Universidad Autónoma de Ciudad Juárez
|
||
##### Aug 2011 - May 2016
|
||
##### Bachelor in Mathematics
|
||
|
||
Learned a variety of methods to prove statements in different areas of
|
||
mathematics. Optative course work was geared towards applied mathematics:
|
||
optimization, probability theory, functional analysis, stochastic ODE, etc.
|
||
Thesis was required for the degree, work was done in stochastic optimization.
|
||
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
## Work Experience
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
|
||
|
||
#### Infolink-EXP.
|
||
##### Feb 2019 - Mar 2020
|
||
##### Lead Data Analyst
|
||
|
||
Applied ML to mine relevant information from our customers and integrate it to
|
||
our platform called Zahoree. This platform is a customer journey modeling
|
||
system, my contribution to the team is the processing of all our natural
|
||
language sources (tickets, complaint emails, and reviews) and transform this
|
||
data into information that is important for our customers business intelligence.
|
||
|
||
#### Indboo.
|
||
##### Jan 2018 - Jan 2019
|
||
##### Odoo Python Developer
|
||
|
||
Developed modules for Odoo (Open ERP) using Python, Javascript and PostgreSQL.
|
||
The team used Agile Scrum and DevOps as the development methodology. Used docker
|
||
and Git as version control. Started the job remotely. We modified Odoo to adjust
|
||
it to our customers’ needs.
|
||
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
## Languages
|
||
|
||
* Spanish: Mother tongue
|
||
* English: fluent TOEFL 97; 2018
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
|
||
## Honors, Awards
|
||
|
||
* 2018: Graduated Master of Computer Science with Honors
|
||
* 2014: Best scientific poster award bachelor category, Universidad Autónoma de Ciudad Juárez.
|
||
* 2010: Basic science award in physics 2nd place, Instituto Tecnológico de Ciudad Juárez.
|
||
* 2010: Basic science award in mathematics 3rd place, Instituto Tecnológico de Ciudad Juárez.
|
||
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
|
||
## Research Activity and Thesis
|
||
|
||
* 2018 Workshop on Computational Mathematics Problems. (CIMAT)
|
||
* 2018 Methods of Analysis of Noncommutative Groups. (Master Thesis)
|
||
* 2016 Using the AW-SDG algorithm for faster parameter learning in a regression. (Bachelor Thesis)
|
||
* 2013: Two-month research visit as part of the Mexican National Academy of Science summer research program at Instituto Politecnico Nacional / Escuela Superior de Economia, Researched Financial Mathematics under Dr. Francisco Venegas Martínez.
|
||
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
## Conference Participation
|
||
|
||
* 2017 Numerical Analysis of the construction of a similarity matrix using an algorithmic measure on abstract groups; IPN International CORE 2017 Congress.
|
||
* 2014: Entropy as the limit for data compression, XLVII National Congress of The Mexican Mathematical Society.
|
||
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
## Interests
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
|
||
* Neural Networks
|
||
* Convex/Combinatorial Optimization
|
||
* Statistical/Machine Learning
|
||
* Information Theory
|
||
* Julia Programming Language
|
||
* COBOL
|
||
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
## Open Source Projects
|
||
~~~
|
||
<hr>
|
||
~~~
|
||
|
||
* Green Flux: Functions that measure the approximate kWh electricity draw and non-embedding Floating Point operations consumed in the training of a Flux.jl model.
|
||
|
||
* Flux Compress: Functions and structures that extend Flux.jl layers to allow the compression of models.
|