Carla Prieto
Machine Learning Engineer
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You can see my projects, experience and go to my contact page to leave a message after the beep.
Projects
Olivia : An AI traveler assistant
Mapping Alexa’s Utterances to intents
Music Genre Classifier
Experience
2022 - 2024 | Hundred X Machine Learning Engineer
2022 - 2024 | Hundred X
Machine Learning Engineer
- Led project that analyzed customer comments to provide insights for both external clients and the internal insights team.
- Co-designed and implemented dashboard for clients to visualize and understand customer comments trends.
- Implemented a model to identify customer comments topics and trends over time using BERT.
- Used GPT-3.5 API to name the topics customers were discussing.
- Drove sentiment model improvements. Accuracy increased from 60% to 85% overall and 93% for English comments.
- Designed a data pipeline to clean customer comments, apply the ML models, and populate the dashboard's data tables.
- Collaborated closely with data science, insights, and customer teams to ensure project success.
- Delegated data engineering tasks to the engineering team to streamline workflow and enhance efficiency.
2022 - 2024 | Hundred X Machine Learning Engineer
2019 - 2021 | Amazon
Software Engineer
- Implemented feature based on machine learning model output to reduce time in manual data annotation by 5%.
- Maintained machine learning models for real time prediction in a production environment.
- Designed and developed data pipeline to deliver metrics to business intelligence.
- Designed and implemented end to end tests and reduced deployment time by half.
2017 - 2019 | Spectrum Effect
Software Engineer
- Helped implement data pipeline for feature extraction at large scale.
- Collaborated with data scientists to implement machine learning models.
- Implemented algorithm for localization using graph databases.
Skills
ML Frameworks
- TensorFlow
- Scikit-learn
Big Data
- Apache Airflow
- Kubernetes
Cloud Computing
Programming Languages
- Python
- Java
- R
- SQL
- AWS
- GCP
Data Analysis
Statistics
- Pandas
- NumPy
- Tableau
- D3
- A/B Testing
- Field Experiments
Education
UC Berkeley
2024
M.I. Data Science
Tecnologico de Monterrey (ITESM)
2016
B.S. Information and Communication Technologies
Contact
carla.prieto@berkeley.edu
(206) 581- 4834
Socials
Olivia: An AI Travel Assistant
Olivia is a chatbot that gives AirBnB recommendations for your next vacation. Is backed by an in-house fine-tuned LLMs. Comes in two flavors: Using Claude Sonnet or LLaMa 3.
Check it out!
oliviawebpagedemo.my.canva.site
Mapping Alexa Utterances to Intents
Voice-activated virtual assistants, like Amazon Alexa, have revolutionized human-computer interaction by responding in real-time to user instructions, known as “utterances.” These utterances are mapped to specific “intents,” which guide Alexa in executing the correct tasks.
In this project, I explored the use BERT (Bidirectional Encoder Representations from Trans- formers) along with another models to map utterances to intents.
Look at the full details in my repo:
Music Genre Classifier
A favorite of mine. In this project I learned how to extract and manipulate features from audio files, do some programatic audio chops, principal component analysis (PCA), and plug it all into common used ML models for classification.
I learnt about extracting and manipulating soundwaves, MEL Spectograms, harmonics and perceptruals among other audio features.
I also got to experiment with a bunch of models, from simple KNN and decision trees, to more robust ones like an SVM and a classifier using gradient booster.
Finally achieving an accuracy of ~0.90 for one of my first models.
Check the final presentation out! (contains pretty dope visuals!)