Laurentiu P.

Laurentiu P.

Machine Learning Engineer/Data Scientist

Bucharest, Romania
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About Me

Laurentiu is a driven Machine Learning Engineer and Data Scientist with 6 years of expertise in automating processes for companies using tools like Python, Bash, Tensorflow, NumPy, Pandas, Scikit-Learn, Flask, and PyTorch. His work involves dealing with real-life business problems that require Deep Learning and Machine Learning techniques.

Work history

UpStack
UpStack
Machine Learning Engineer/Data Scientist
2022 - Present (2 years)
Remote
  • Use a combined knowledge of computer science and applications, modelling, statistics, and analytics to solve problems.

  • Administer infrastructure solutions to improve data models, increase data accessibility and foster data-driven solutions for clients.

  • Implement monitoring solutions to ensure data integrity - working closely with engineers, product managers and other stakeholders.

Lummetry.AI
Lummetry.AI
Machine Learning Engineer/Data Scientist
2017 - Present (7 years)
Romania
  • Performed data analysis using Pandas and built state-of-the-art models with PyTorch, TensorFlow, Sci-kit learn. Automated the surveillance system in bank branches by alerting people in distress, alerting crowded zones and queues, alerting unusual ATM session times, alerting CCTV malfunctions.

  • Created ML architectures and implementation plans. Trained and deployed on edge devices and cloud environments (Flask, Django, Azure, AWS, Docker, Kubernetes).

  • Designed and developed the pipelines (data acquisition, model inference, training, communication, business features) for Lummetry's main product, which is a distributed AI-based near-real-time safety & security system (computer vision).

Portfolio

Machine Learning Engineer/Data Scientist - Lummetry.AI SolisBox
Machine Learning Engineer/Data Scientist - Lummetry.AI SolisBox

SolisBox is an Enterprise Artificial Intelligence solution for safety and security integrated into an IoT platform. I was one of the architects of this solution and the main backend developer. The purpose of this product is to gather data from multiple streams (CCTV cameras, video files, sensors) and to analyze all these data in near-real-time using deep neural models in order to apply some algorithms for raising alerts when needed (e.g. crowded zones, people fallen or in distress) or just performing some jobs (e.g. blurring a video file). We used Python (multi-threaded and multi-process), OpenCV, TensorFlow, PyTorch, and Numpy as the main technological stack, Bash, Docker, and GitHub for CI/CD and AMQP / MQTT for communication.

Machine Learning Engineer/Data Scientist - Engine for discovering duplicate payments
Machine Learning Engineer/Data Scientist - Engine for discovering duplicate payments

For large businesses, my old team and I created a machine learning model that finds duplicate payments. This ML engine is a component of a larger offering that offers an all-inclusive method of identifying duplicate payments. As the project's primary data scientist, it was my responsibility to analyze the data and offer the most effective neural model solution. With the use of siamese networks, we were able to cut the quantity of manual labor by 90% while maintaining a 95% recall rate.

Machine Learning Engineer/Data Scientist - SEER - Enterprise solution for predictive analytics
Machine Learning Engineer/Data Scientist - SEER - Enterprise solution for predictive analytics

The project involved the creation of an Enterprise solution for predictive analytics (predictive replenishment and recommendations) integrated into larger solutions via API. I was in charge of developing an "as-a-service" solution that works for data coming from any of our customers as the senior data scientist and machine learning engineer. With some proof of concept, this product has now joined the larger SolisBox ecosystem, which I previously referred to as Project 1.

Education

Bachelor's degree, Computer science and engineering
Bachelor's degree, Computer science and engineering
University POLITEHNICA of Bucharest
Artificial Intelligence Professional Program, Artificial Intelligence
Artificial Intelligence Professional Program, Artificial Intelligence
Stanford University