Wendell Lozano
@wendelllozano
Senior Data and ML engineer driving production-grade data pipelines.
What I'm looking for
I am a Senior Data/ML Engineer with 7+ years building production-grade data pipelines and machine learning systems across finance, manufacturing, and telecommunications. I specialize in ETL/ELT infrastructure, feature engineering, and classical ML algorithms that deliver measurable business impact.
I've architected multi-cloud data pipeline infrastructure processing over 1M daily prediction requests with sub-100ms tail latency, automated ETL workflows with Apache Airflow and Terraform, and established data quality frameworks preventing the vast majority of schema violations before production.
My work has produced tangible savings and performance gains, including $12.9M+ in cost savings through predictive analytics, major reductions in query and deployment time, and improvements in model accuracy and retrieval relevance across large-scale systems.
I mentor junior engineers, standardize MLOps and CI/CD practices, and focus on scalable, observable systems—balancing rapid iteration with robust production reliability to accelerate business outcomes.
Experience
Work history, roles, and key accomplishments
Constructed multi-cloud data pipeline infrastructure handling 1M+ daily prediction requests at sub-100ms p99 latency and automated ETL/CI-CD workflows to reduce model deployment cycles from two weeks to four hours, improving delivery across eight teams.
Designed end-to-end pipelines extracting 10M+ records to produce 100+ features achieving 94% intent classification accuracy and deployed a hybrid FAISS+Elasticsearch retrieval improving relevance by 30% for 50K daily conversations.
Architected data aggregation pipelines consolidating 100K+ monthly tickets and trained XGBoost ensembles achieving 89% accuracy, reducing ticket resolution time by 45% and improving first-call resolution from 58% to 81%.
Built real-time Kafka ingestion for 15M+ monthly IoT events and trained predictive maintenance models with 89% accuracy, reducing unplanned downtime by 34% and delivering $2.1M annual savings.
Education
Degrees, certifications, and relevant coursework
University of Melbourne
Bachelor’s Degree, Information Technology
2014 - 2018
Completed a Bachelor's degree in Information Technology with coursework and projects covering software engineering, data systems, and applied machine learning.
Tech stack
Software and tools used professionally
Apache Spark
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
Salesforce
Jupyter
NumPy
Pandas
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Gmail
Redis
Terraform
Azure DevOps
Azure IoT Hub
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Kafka
Grafana
Prometheus
Elasticsearch
pytest
Airflow
s3-lambda
SQL
XGBoost
LightGBM
CatBoost
Great Expectations
Score
Bash
Faiss
Availability
Location
Authorized to work in
Job categories
Skills
Interested in hiring Wendell?
You can contact Wendell and 90k+ other talented remote workers on Himalayas.
Message WendellFind your dream job
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
