Laurentiu P.

Laurentiu P.

Bucharest, Romania
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About Me

Laurentiu is a Senior ML Engineer/Data Scientist with 8+ years of experience automating processes for companies using Python, Bash, TensorFlow, NumPy, Pandas, Scikit-Learn, Flask, and PyTorch. His expertise includes NLP, chat agents, GPT, DeepSeek, and general ML/DL. Laurentiu's work involves dealing with real-life business problems that require Deep Learning and Machine Learning techniques.

AI, ML & LLM

Machine Learning Pytorch

Backend

Django Flask Python

Other

Tensorflow Numpy Team Management Bash Computer Vision Data Science NLP Pandas Scikit Learn Keras Data Modeling

Work history

UpStack
UpStack
Senior ML Engineer/Data Scientist
2022 - Present (3 years)
Remote

  • Using a combined knowledge of computer science and applications, modelling, statistics, and analytics to solve problems.

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

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

Machine LearningPythonData ScienceTeam ManagementTensorflowPytorchNumpyPandasBashDjangoFlaskNLPComputer Vision
RessiAI
RessiAI
Founder & CEO
2023 - Present (2 years)
Remote

  • Owning all early-stage startup responsibilities from market research and product development to client management.

  • Creating and conducting presentations and communicating with clients.

  • Developed the product's back and front end, AI engine, and integrations.

AI Design Python 3 ChatGPT Large Language Models (LLMs) Artificial IntelligenceDecision Intelligence Prompt Engineering Gemini OpenAI GPT-3 API LangChain Claude Retrieval-augmented Generation (RAG) LLaMA Bedrock Azure Node.jsServerlessUnicornVector Search AI Chatbots Vector Databases pgvector Hugging Face Transformers DeepSeek
Lummetry.AI
Lummetry.AI
Senior Data Scientist | ML Engineer
2017 - 2022 (5 years)
Bucharest, Romania

  • Performed data analysis using Pandas and built models with PyTorch, TensorFlow, and Sci-kit Learn.

  • Created ML architectures and implementation plans.

  • Designed and developed 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).

  • Automated the surveillance system in bank branches by alerting people in distress, crowded zones and queues, unusual ATM session times, and CCTV malfunctions.

  • Trained and deployed on edge devices and cloud environments (Flask, Django, Azure, AWS, Docker, Kubernetes).

Machine LearningPythonNLPBashComputer VisionPytorchTensorflowNeural NetworksScikit LearnPandasNumpyBashDjangoFlaskData ScienceData AnalysisAzure AWSDockerKubernetesData pipelines

Showcase

ML Engineer/Data Scientist - Lummetry.AI SolisBox
ML Engineer/Data Scientist - Lummetry.AI SolisBox

  • SolisBox is an Enterprise AI solution for safety and security, integrated into an IoT platform.

  • It gathers data from CCTV cameras, video files, and sensors and analyzes it in near-real-time using deep neural models.

  • The solution employs Python, OpenCV, TensorFlow, PyTorch, and Numpy, along with Docker, GitHub, and Bash for CI/CD and communication.

ML Engineer/Data Scientist - ML Model
ML Engineer/Data Scientist - ML Model

  • A machine learning model was developed to identify duplicate payments.

  • Siamese networks were utilized to reduce manual labor by 90% while maintaining high recall.

  • The project's primary data scientist was responsible for analyzing data and providing a neural model solution.

ML Engineer/Data Scientist - SEER
ML Engineer/Data Scientist - SEER

  • Developed an 'as-a-service' solution for predictive analytics, integrating with customer data via API.

  • Responsible for data science and machine learning engineering for the project, including proof of concept.

  • The solution is now part of the SolisBox ecosystem, previously referred to as Project 1.

Education

AI Professional Program
AI Professional Program
Stanford University
2020 - 2022 (2 years)
Bachelor's Degree, Computer Science and Engineering
Bachelor's Degree, Computer Science and Engineering
University POLITEHNICA of Bucharest - Romania
2014 - 2018 (4 years)