I'm Erik Vilido, a Senior Software Engineer specializing in Python and AI/ML. With over 10 years of hands-on experience delivering scalable, AI-driven solutions across finance, healthcare, e-commerce, and analytics, I design and deploy ML systems that power real-world decisions. I'm proficient in Python, TensorFlow, PyTorch, and scikit-learn, and I have deep experience with transformer-based NLP models, computer vision, anomaly detection, and recommender systems. I've built cloud-native ML architectures on AWS, GCP, and Azure and led end-to-end ML lifecycle automation from experimentation to production. Known for my collaborative leadership, I translate complex business requirements into practical technical solutions, advocate for explainable AI (SHAP/LIME), and mentor teammates to raise the bar on reliability, monitoring, and performance. I enjoy solving hard problems and delivering measurable impact through robust ML pipelines and integration into product dashboards.

Erik Vilido

I'm Erik Vilido, a Senior Software Engineer specializing in Python and AI/ML. With over 10 years of hands-on experience delivering scalable, AI-driven solutions across finance, healthcare, e-commerce, and analytics, I design and deploy ML systems that power real-world decisions. I'm proficient in Python, TensorFlow, PyTorch, and scikit-learn, and I have deep experience with transformer-based NLP models, computer vision, anomaly detection, and recommender systems. I've built cloud-native ML architectures on AWS, GCP, and Azure and led end-to-end ML lifecycle automation from experimentation to production. Known for my collaborative leadership, I translate complex business requirements into practical technical solutions, advocate for explainable AI (SHAP/LIME), and mentor teammates to raise the bar on reliability, monitoring, and performance. I enjoy solving hard problems and delivering measurable impact through robust ML pipelines and integration into product dashboards.

Available to hire

I’m Erik Vilido, a Senior Software Engineer specializing in Python and AI/ML. With over 10 years of hands-on experience delivering scalable, AI-driven solutions across finance, healthcare, e-commerce, and analytics, I design and deploy ML systems that power real-world decisions. I’m proficient in Python, TensorFlow, PyTorch, and scikit-learn, and I have deep experience with transformer-based NLP models, computer vision, anomaly detection, and recommender systems. I’ve built cloud-native ML architectures on AWS, GCP, and Azure and led end-to-end ML lifecycle automation from experimentation to production.

Known for my collaborative leadership, I translate complex business requirements into practical technical solutions, advocate for explainable AI (SHAP/LIME), and mentor teammates to raise the bar on reliability, monitoring, and performance. I enjoy solving hard problems and delivering measurable impact through robust ML pipelines and integration into product dashboards.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
See more

Work Experience

Senior Software Engineer at Leobit
September 1, 2025 - October 22, 2025
Spearheaded AI-driven software solutions for predictive analytics and anomaly detection; architected ML pipelines in Python (TensorFlow, PyTorch) for large-scale data; developed real-time inference systems with FastAPI & Docker achieving sub-100ms telemetry predictions; built cloud-native AI/ML architectures on Azure with batch/stream training for IoT signals; implemented data preprocessing & feature engineering in Azure Databricks; introduced MLOps with MLflow & Azure ML Studio; applied SHAP/LIME for explainability; mentored junior ML engineers.
Senior Python / ML Engineer at Morai
July 1, 2023 - October 22, 2025
Led AI/ML tech integration for autonomous simulation and digital-twin platforms; designed models using Hugging Face Transformers and PyTorch Lightning for text classification, NER, and behavior analytics; developed microservices with FastAPI/Flask exposing AI inference endpoints; engineered ETL/streaming with Airflow, Snowflake, Kafka/Spark; transitioned legacy batch ML to real-time agentic architectures; implemented monitoring for latency and drift; mentored juniors and embedded predictive intelligence into dashboards.
Python Backend & ML Engineer at NoProblem AI
December 1, 2020 - October 22, 2025
Delivered AI-powered fraud-detection and recommendation systems; developed ML classification and sentiment-analysis models with spaCy, scikit-learn, and TensorFlow; built backend APIs with Flask/Django for model inference; engineered data pipelines with Apache Spark and Kafka for streaming ingestion and retraining; deployed GPU-accelerated training on AWS/GCP and automated containerised inference; mentored junior developers.
Software Developer at Flowit
January 1, 2018 - October 22, 2025
Developed AI-infused forecasting and optimization models for retail and logistics; built batch inference workflows with Airflow processing over one million records per day; created REST APIs with Django/Flask for client dashboards; implemented feature engineering with pandas/NumPy; optimized PostgreSQL/MySQL schemas and indexing; collaborated with data scientists to productionize prototypes.
Back End Python Developer at Pipedrive
April 1, 2016 - October 22, 2025
Contributed to CRM and sales-intelligence by integrating early ML models for lead scoring; designed predictive models with scikit-learn/pandas; built AI-based recommendation logic; developed REST APIs in Django for ML inference; implemented asynchronous workflows with Celery/Redis reducing API response times; mentored juniors and established ML experimentation culture.

Education

Master’s Degree in Computer Science at Tallinn University
January 1, 2008 - January 1, 2013
Bachelor’s Degree in Computer Science at Tallinn University
January 11, 2030 - January 1, 2011

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Healthcare, Manufacturing, Retail