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% Resume in Latex
% Author : Wilmer Gonzalez
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% License : MIT
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\begin{document}
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% HEADING
\begin{tabular*}{\textwidth}{l@{\extracolsep{\fill}}r}
  \textbf{\Large Wilmer A. Gonzalez S.} \href{https:wilmerags.com}{\color{urlcolor} \faicon{link}}\\
  Machine learning engineer & \href{mailto:wilmeragsgm@gmail.com}{\color{urlcolor}{\faicon{envelope}} \color{textcolor} wilmeragsgm} \\
  \textsl{Caracas, Venezuela.} & \href{https://www.linkedin.com/in/wilmeragslin/}{ \color{urlcolor}{\faicon{linkedin}} \color{textcolor} wilmeragslin} \\
  \textsl{\small \latestVersion} /\textsl{\small \otherThemeRef} & \href{https://github.com/wilmeragsgh}{  \color{urlcolor}{\faicon{github}} \color{textcolor} wilmeragsgh}\\
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% EXPERIENCE
\section{Experience}
  \resumeSubHeadingListStart

    \resumeSubheading
      {Serhant (through blocknerds.io)}{(remote) Caracas, VE}
      {Senior Machine learning engineer Lead}{May 2024 - Present}
      \resumeItemListStart
      \resumeItem{Design and implement +5 Real state LLM use cases, reducing advisors' waiting time by at least 20\%}
      \resumeItem{Increase team productivity by establishing MLOps practices like Prompt versioning}
      \resumeItem{Develop Agents with tooling access to satisfy Real estate use cases, using MCP.}
      \resumeItem{Integrate services and REST APIs in workflows with n8n.}
      \resumeItemListEnd
      \resumeTech{Company summary}{Real estate company building tools for advisors and agents through automations and AI.}
      \begin{tcolorbox}
        \textbf{Tech:} Python, JS, Azure, PromptLayer, LLMs, OpenAI ChatGPT, Claude, Langchain, HuggingFace, MCP, n8n, CI/CD.
      \end{tcolorbox}
      % \resumeTech{Company summary}{Real estate company building tools for advisors and agents through automations and AI.}

    \sepsection
    
    \resumeSubheading
      {The Hackett Group (through \href{https://www.develative.com/}{Develative})}{(remote) Caracas, VE}
      {AI Solutions Architect}{Nov 2024 - Feb 2025}
      \resumeItemListStart
      \resumeItem{Design architecture for LLM solutions related to BPMN}
      \resumeItem{Extend platform to include new LLM components}
      \resumeItemListEnd
      \resumeTech{Company summary}{ERP Company assisting ideation of customer industries' use cases through Gen AI.}
      \begin{tcolorbox}[width=.67\linewidth]
          \textbf{Tech:} Python, Django, Azure, LLMs, OpenAI, Langchain, Huggingface.
      \end{tcolorbox}

    \sepsection

    \resumeSubheading
      {Brightflow.AI}{(remote) Caracas, VE}
      {Machine learning engineer}{May 2023 - May 2024}
      \resumeItemListStart
      \resumeItem{Increase customer success team productivity by 10\% by enabling model performance visibility on forecasting.}
      \resumeItem{Increase team productivity by 20\% by establishing MLOps practices like model versioning and registry workflows.}
      \resumeItem{Develop a full-stack LLM component using financial data to generate insights for 100+ brands, increasing user engagement by 15\%.}
      \resumeItemListEnd
      \resumeTech{Company summary}{CPG-focused company generating financial insights to brands using analytics and AI.}
      \begin{tcolorbox}[width=.82\linewidth]
          \textbf{Tech:} Python, Typescript, React, AWS, LLMs, OpenAI ChatGPT, MLflow, AWS Athena.
      \end{tcolorbox}
    %   \resumeTech{Theory}{Machine learning, AutoML, Feature engineering, Project management.}
    \sepsection


    \resumeSubheading
      {CircleUp (Acquired by Brightflow.AI)}{(remote) Caracas, VE}
      {Machine learning engineer}{August 2021 - May 2023}
      \resumeItemListStart
      \resumeItem{Establish MLOps practices across 100\% of ML use-cases of the company, reducing development time by 12\%.}
      \resumeItem{Enable semantic comparison of 1.7M brands and a hundred thousand text attributes.}
      \resumeItem{Improve and maintain ML pipelines of millions of observations with tens of GB-scale text data.}
      \resumeItemListEnd
      \resumeTech{Company summary}{CPG-focused company identifying investment opportunities using AI}
      \begin{tcolorbox}
          \textbf{Tech:} Python, PySpark, Airflow, AWS, GCP, Vertex, BigQuery, Dataproc, Tensorflow, Keras, Huggingface, BERT.
      \end{tcolorbox}
    %   \resumeTech{Theory}{Machine learning, AutoML, Feature engineering, Project management.}
    \sepsection

    \resumeSubheading
      {Sigma}{(remote) Caracas, VE}
      {Senior Machine learning engineer}{June - September, 2023}
      \resumeItemListStart
      \resumeItem{Develop a misleading claims detection system for an advertising platform by using LLMs and prompt engineering.}
      \resumeItem{Integrate third-party ML services for feature detection and moderation on advertising creatives (image and text-based).}
      \resumeItemListEnd
      \resumeTech{Company summary}{Consulting company providing development to advertising companies for moderation.}
      \begin{tcolorbox}[width=.45\linewidth]
          \textbf{Tech:} Python, GCP, Vertex AI, NLP, LLMs.
      \end{tcolorbox}
    %   \resumeTech{Theory}{Machine learning, AutoML, Feature engineering, Project management.}
    \sepsection

    \resumeSubheading
      {UNDP (UN)}{Caracas, VE}
      {Machine learning engineer}{August 2019 - October 2025 (seasonal)}
      \resumeItemListStart
      \resumeItem{Provide summaries from opinions and trends by processing 1.1M tweets with Topic Modeling and transformer-based models, reducing analysis time by 25\%.}
      \resumeItem{Reduce network analysis time by 83\%  by automating community and hub detection on hundreds of thousands of social media users' data.}
      \resumeItem{Sped up the analytical workflow by 75\% by redesigning the sampling strategy of pipelines.}
      \resumeItemListEnd
      \resumeTech{Organization summary}{UN's division focused on exploring and analyzing nations' development-related topics through social media}
      \begin{tcolorbox}
          \textbf{Tech:} Python, R, Bash, Azure, AWS, Gephi, Power BI, REST API, Vue, Airflow, Kubernetes, Tensorflow, BERT, NLP, Data engineering, Data visualization, Metabase, Workflow orchestration, Social networks analytics.
      \end{tcolorbox}
    %   \resumeTech{Theory}{Topic modeling, Community detection, Network Analysis and NLP, Data visualization, Data engineering}

    \sepsection

    \resumeSubheading
      {Quash}{(remote) Caracas, VE}
      {Machine learning engineer (advisor)}{March - July, 2021}
      \resumeItemListStart
      \resumeItem{Technical guide of the Data Science team.}
      \resumeItem{Decrease feature engineering time by 10\% by creating 10+ data pipelines.}
      \resumeItem{Deploy personalized ML models for credit scoring, processing 10k+ applications across 5+ countries.}
      \resumeItemListEnd
      \resumeSubSubheading
      {Machine learning engineer}{February 2019 - March 2020}
     \resumeItemListStart
      \resumeItem{Developed a customer-facing API for using our internal credit scoring model.}
      \resumeItem{Increased approval rate by 15\% of customers while keeping the same risk by optimizing state-of-the-art ML models.}
      \resumeItemListEnd
      \resumeTech{Company summary}{Fintech company focused on improving underwriting models in underserved populations using AI.}
      \begin{tcolorbox}[width=.85\linewidth]
          \textbf{Tech:} Python, R, JS, Vue, AWS, Sagemaker, OpenAI, Vercel AI, S3, REST APIs, Docker.
      \end{tcolorbox}
      
    \sepsection

    \resumeSubheading
      {Universidad Central de Venezuela}{Caracas, VE}
      {Adjunct professor (Advanced topics in AI and data mining)}{October 2018 - July 2024 (seasonal)}
      \resumeItemListStart
      \resumeItem{Designed and organized course material and resources for topics described in \href{https://github.com/ucvia}{\textsl{here}}.}
      \resumeItem{Lecture material for tens of students and graded their assignments.}
      \resumeItem{Tutored thesis work on AI related to computer vision \newline \textsl{(Awarded with country-wise recognition for thesis work between 6 final candidates)}.}
      \resumeItemListEnd
    \resumeSubSubheading
      {Teaching assistant (Introduction to Data Science, Data Mining)}{April 2015 - February 2018}
     \resumeItemListStart
      \resumeItem{Designed and organized practical course material and resources for topics described in \href{https://github.com/ucvia}{\textsl{here}}.}
      \resumeItem{Lectured practical material for students and grade their assignments.}
      \resumeItemListEnd
      \resumeTech{Academic summary}{Assist in AI-related topics throughout a Computer science BSc' program.}
      \begin{tcolorbox}[width=.55\linewidth]
       \textbf{Tech:} Python, Latex, R, Weka, Colab, Jupyter and swirl.
      \end{tcolorbox}
    %   \resumeTech{Theory}{Artificial intelligence, Data science and Data mining.}
\sepsection

    \resumeSubheading
      {Omdena}{(remote) Caracas, VE}
      {Lead machine learning engineer}{Jan - Apr, 2021}
      \resumeItemListStart
      \resumeItem{Helped create a trust score for news articles by implementing a claim detection model.}
      \resumeItem{Improved usability of the product by creating a chrome extension connected to resultant models (\href{https://www.omdena.com/blog/fighting-misinformation}{blog post}).}
      \resumeItem{Contributed to open-source projects (\href{https://github.com/utaresearch/claimbuster-spotter}{claimbuster-spotter}) related to NLP and Deep Learning models.}
      \resumeItemListEnd
      \resumeTech{Project summary}{Create an MVP for a disinformation platform focused on news articles through NLP.}
      \begin{tcolorbox}[width=.73\linewidth]
          \textbf{Tech:} Python, JS, Keras, Tensorflow, Falcon, REST APIs, Chrome extension.
      \end{tcolorbox}
    %   \resumeTech{Theory}{NLP, Deep Learning, Web development.}

\sepsection
    \resumeSubheading
      {Oliver Wyman}{(remote) Caracas, VE}
      {Data engineer}{July - November, 2020}
      \resumeItemListStart
      \resumeItem{Enabled data pipelines processing by provisioning and configuring Airflow.}
      \resumeItem{Created DAGs for 30+ stored procedures from SQL Server scripts.}
      \resumeItem{Created DAGs for importing tabular data (1M+ records) to SQL Server.}
      \resumeItemListEnd
      \resumeTech{Project summary}{Assist the migration of procedures and pipelines across databases.}
      \begin{tcolorbox}[width=.7\linewidth]
          \textbf{Tech:} Python, Airflow, SQL Server, Jenkins, Rancher, Docker, Kubernetes.
      \end{tcolorbox}
    %   \resumeTech{Theory}{Data pipelines orchestration, ETL, Provisioning.}

    \sepsection
    
    \resumeSubheading
      {Advoqt}{(remote) Caracas, VE}
      {Machine learning engineer}{February - August, 2019}
      \resumeItemListStart
      \resumeItem{Enable malicious URL classification by developing a deep Learning model with $\approx 90\%$ accuracy.}
      \resumeItemListEnd
      \resumeTech{Company summary}{Cyber-security firm building tools with AI.}
      \begin{tcolorbox}[width=.5\linewidth]
          \textbf{Tech:} Python, Tensorflow, Elasticsearch and Spark.
      \end{tcolorbox}
    %   \resumeTech{Theory}{Deep learning and Text classification.}

    \sepsection
    \resumeSubheading
      {Fetcher}{Caracas, VE}
      {Data scientist}{June 2018 - February 2019}
      \resumeItemListStart
      \resumeItem{Decreased overload of sourcing teams by 10\% by creating an automated allocation algorithm using Linear programming and Constraint Satisfaction techniques.}
      \resumeItem{Deployed load estimation models for tens of candidate sourcing projects for all recruiting teams.}
      \resumeItemListEnd
      \resumeTech{Company summary}{Recruiting firm building tools for candidate selection and hiring analytics.}
      \begin{tcolorbox}[width=.43\linewidth]
          \textbf{Tech:} R, Shiny, Latex, SQL and Metabase.
      \end{tcolorbox}
    %   \resumeTech{Theory}{Linear programming and Constraint Satisfaction problems.}

%\newpage

    \sepsection
    
    \resumeSubheading
      {Predictvia}{Caracas, VE}
      {Machine learning engineer}{February 2016 - January 2017}
     \resumeItemListStart
     \resumeItem{Performed social network analysis on millions of social media users and posts to detect hubs, and performed supervised and unsupervised learning.}
     \resumeItem{Built and implemented classification models, perform feature engineering, and calibrated existing models.}
     \resumeItemListEnd
     \resumeTech{Company summary}{Social media advertising company helping businesses target customers with AI}
     \begin{tcolorbox}[width=.37\linewidth]
         \textbf{Tech:} Python, R, Bash, Scikit learn.
     \end{tcolorbox}
    %  \resumeTech{Theory}{Social network analysis, Attribution models and  Recommendation systems.}
    \resumeSubHeadingListEnd
% ---
\newpage
% PROGRAMMING SKILLS
\section{Technical skills}
  \resumeSubHeadingListStart
  
  \resumeSubItem{\textbf{Programming languages:} Python, R, Bash, Julia, TS/JS.}
  
  \resumeSubItem{\textbf{Cloud services:} AWS (Lambda, S3, Sagemaker), GCP ( Vertex AI, BigQuery), Azure (Functions, Blob storage, AKS).}
  
  \resumeSubItem{\textbf{Deep learning frameworks:} Keras, Tensorflow, Pytorch, HuggingFace, sbert.}
  
  \resumeSubItem{\textbf{Others:} xgboost, scikit, pandas, falcon, flask, fastapi, Docker, Kubernetes, Jenkins, Terraform}

  \resumeSubItem{\textbf{Currently learning:} Nuxt, Nodejs.}
  
  \resumeSubHeadingListEnd

% EDUCATION
\section{Education}
  \resumeSubHeadingListStart
    \resumeSubheading
      {Universidad Central de Venezuela}{Caracas, Venezuela}
      {B.Sc in Computer Science}{Sept. 2012 -- Jun. 2018}
      \resumeItemListStart
      \resumeItem{Took elective courses on: Introduction to data science, Advanced topics in data science, Artificial Intelligence, Data mining, Text mining, NoSQL databases, Digital image processing.}
      \resumeItem{(Thesis title) AdaBnn: Binarized Neural Networks trained with adaptive structural learning.}
      \resumeItemListEnd
  \resumeSubHeadingListEnd
% ---
\vspace{1em}
% \hfill \textsl{ Click on items for details. \color{urlcolor}{\faicon{link}}}

% CERTIFICATIONS
\section{Certifications \color{urlcolor}{(with links)}}
  \resumeSubHeadingListStart
    \resumeSubheading
      {@ Udacity/Coursera}{MOOC}
      {\href{https://www.coursera.org/account/accomplishments/specialization/58JWPP7YSWY3}{Machine Learning Engineering for Production (MLOps) Specialization}}{Issued July 2022}
    
    % \resumeSubheading
    %   {Coursera}{MOOC}
    \resumeSubSubheading
      {\href{https://graduation.udacity.com/confirm/AWGF3KVQ}{Machine learning engineer nanodegree}}{Issued March 2021}
    
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/specialization/certificate/WYGXVXA327K9}{Deep learning specialization}}{Issued January 2021}
    
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/verify/HEURLGHTW46G}{Sequence models}}{Issued January 2021}
      
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/verify/U59ZPPWP5NRN}{Convolutional neural networks}}{Issued September 2020}
    
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/verify/BHN34W5WKBUT}{Structuring machine learning projects}}{Issued May 2020} 
   
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/records/J76SQGG4PVYL}{Improving deep neural networks: Hyperparameter tuning, regularization and optimization}}{Issued May 2020}
     
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/verify/MBWJ69CVLQAZ}{Neural networks and deep learning}}{Issued May 2020}
      
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/certificate/MZ7TC7ADV7YY}{R Programming}}{Issued September 2016}
      
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/certificate/36JC577GBFYD}{Text mining and analytics}}{Issued August 2016}
     
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/certificate/MDWATFKLPH9Z}{Text retrieval and search engines}}{Issued June 2016}
     
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/certificate/TM7T8CJXNV6R}{The data scientist's toolbox}}{Issued June 2016}
     
    \resumeSubSubheading
     {\href{https://www.coursera.org/account/accomplishments/certificate/WYGG7TDFPB3F}{Data visualization}}{Issued March 2016}
  \resumeSubHeadingListEnd
% ---

%\newpage
\vspace{1em}
% PROJECTS
\section{Personal Projects \color{urlcolor}{(with links)}}

  \resumeSubHeadingListStart
    \resumeSubItem{\href{https://github.com/wilmeragsgh/philia}{Philia: A Slack bot for empathy assessment in co-workers communications.}}
    
    \resumeSubItem{\href{https://github.com/wilmeragsgh/adabnn}{AdaBnn: Binarized Neural Networks trained with adaptive structural learning.}}

    \resumeSubItem{\href{https://github.com/wilmeragsgh/WarmChat}{WarmChat: Chat room web app that classifies insults messages by using several classifiers.}}
    
    \resumeSubItem{\href{https://github.com/wilmeragsgh/term_freq_linkedin}{Small tool for generating frequent words analysis on the position names of LinkedIn Connections.}}
    
    \resumeSubItem{\href{https://github.com/wilmeragsgh/shinycker}{Template for dockerized shiny (R) application deployment.}}
    
    \resumeSubItem{\href{https://github.com/wilmeragsgh/resume}{Latex template for CVs with dark theme, with CV guidelines from google.}}
    
  \resumeSubHeadingListEnd
% ---

\vspace{1em}

% PERSONAL PUBLICATIONS
\section{Personal publications \color{urlcolor}{(with links)}}

  \resumeSubHeadingListStart
    \resumeSubItem{\href{https://omdena.com/blog/fighting-misinformation/}{Mahfuzur Rahman, Ann Chia, Wilmer Gonzalez. Fighting Misinformation and Fake News using NLP
. 09/2021}}
  
    \resumeSubItem{\href{http://scivisionpub.com/pdfs/diodes-laser-in-office-endoscopic-surgery-center-for-nasal-obstruction-and-snoring-558.pdf}{Sajidxa Mariño, Jesus Lares, Wilmer Gonzalez. Diode’s Laser in Office Endoscopic Surgery Center for Nasal Obstruction
and Snoring. J Med - Clin Res \& Rev. 2018; 2(6): 1-3.}}

    \resumeSubItem{\href{https://www.slideshare.net/WilmerGonzalez7/twitter-a-data-source-for-the-academy}{Twitter, A data source for the academy (spanish).}}
    
    \resumeSubItem{\href{https://www.slideshare.net/WilmerGonzalez7/github-social-coding-the-social-network-for-programmers}{GitHub \& Social Coding. Social network for programmers (spanish).}}
    
    \resumeSubItem{\href{https://www.slideshare.net/WilmerGonzalez7/reproducible-research-a-case-of-study-on-allocation-of-university-places}{Reproducible Research. Case of study: allocation of university places in UCV by OPSU (spanish).}}
    
  \resumeSubHeadingListEnd
% ---

%\hfill \textsl{ Not clickable anymore.}


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