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About Me
My name is Eduardo Venegas, I am a Computer Science Engineer graduated from the University Tec de Monterrey. I have experience in the fields of Web Development, Data Engineering, DevOps, Site Reliability and Cloud.
GPA
Awarded best GPA
Awesome
Hackathon winner
Skills
JavaScript
TypeScript
Python
R
C++
C
MatLab
React
Angular
Ionic
Flask
Node JS
Jest
TensorFlow
Docker
Git
GitHubActions
GitHub
Linux
SQL
Arduino
Experience
October 2024 - Present
Designed and implemented a RAG system with LangChain and HuggingFace, incorporating advanced Information Retrieval methods to boost the precision and recall of data retrieval. Enhanced autoencoder model performance through the application of Federated Learning, enabling distributed training across different devices. Created a robust entity matching solution capable of aligning disparate data types, powered by Llama Instruct and presented via an interactive Streamlit dashboard.
November 2023 - October 2024
Worked on the Oracle Cloud Infrastructure in the team of Big Data Service in Oracle Analytics. Developed the console for managing and deploying big data clusters. Designing, implementing, and maintaining scalable and efficient solutions on OCI.
March 2023 - September 2023
Developed a high-accuracy algorithm for detecting external battery replacements. Resolved the issue of missing database values and implemented a pipeline to forward fill the gaps, boosting service demand by 62%. Designed a Streamlit dashboard to adjust prediction model parameters and obtain real-time output (<8 seconds) Configured cloud-based environments for working with PySpark. Applied various visualization and data analytics techniques to gain insights from diverse data sources. Identified data patterns in failing vehicle components and leveraged this information to perform recalls only the impacted vehicles.
January 2022 - April 2022
Maintained over 10 servers, monitored services and enhanced engineering processes. Built a platform to manage client APIs with payments and a subscription system using NextJS, Stripe and Docker. Maintained a text analytics model for message categorization, benefiting clients.
June 2021 - September 2021
Selected among 120 out of 20,000 applicants. Automated a CI/CD workflow using GitHub Actions for efficient deployment to a production server. Implemented app monitoring with cAdvisor, Prometheus and Grafana. Ensured 99.99% uptime hosting it in a Docker container on a AWS EC2 instance.
March 2021 - June 2021
Used mathematical and statistical technics over data to get the most important features and create ML models that generate predictions as well as valuable insights. Created ML analysis pipeline endpoints using Flask.
October 2020 - June 2021
Developed a platform for COVID tracking, a Marketplace site and an ERP platform that can organize inventory, human resources shipments, income and expenses. Used *Ionic Angular, Typescript, Cordova, SQL and Flask.
October 2024 - September 2026
Coursing Master degree. Key Courses: Machine Learning, Neural Networks, Quantum AI, Natural Language Processing, Machine Translation, Computer Vision, Image Processing.
August 2019 - December 2023
Grade: 94.6 / 100. Five times best software engineering GPA. 60% tuition scholarship due to academic merit. Strong foundation in mathematical modelling, statistical methods, and computational techniques.
October 2022 - September 2023
Full scholarship recipient from DAAD. Computer Vision II | Autonomous Driving and Assistance Systems | Statistics
August 2015 - July 2019
Thesis Project: Built an Autonomous Tennis Machine using power & digital electronics and a microcontroller. Key Coursework: Electronics, Robotics and Industrial Automation, Electricity, Instrumentation, PLCs and System Design.
Projects
MLH PE Hackathon winner
HackMTY 2nd place winner
Engineering Expo winner
Certificates
August 2021
April 2021
August 2020
September 2020
July 2020
June 2020
September 2021
December 2020
September 2019