Laurentiu Piciu
Verified Expert in Engineering
Machine Learning and Software Developer
Laurentiu is an artificial intelligence (AI) scientist with extensive expertise in natural language processing, chat agents, GPT, and general machine learning/deep learning (ML/DL). Laurentiu graduated from the artificial intelligence program for professionals at Stanford University.
Portfolio
Experience
Availability
Preferred Environment
Artificial Intelligence (AI), GPT, Natural Language Processing (NLP), Machine Learning, Python, ChatGPT, Chatbots, LangChain, Generative Pre-trained Transformers (GPT), Decision Intelligence
The most amazing...
...thing I've developed is an AI data analyst using LLMs that completely changed the way people are doing business intelligence (BI).
Work Experience
Founder & CEO
RessiAI
- Owned all early-stage startup responsibilities, from market research and product development to client management.
- Communicated with clients. Created and conducted presentations.
- Developed the product's back and front end, AI engine, and integrations.
Senior AI Developer
Anguleris Technologies
- Trained the LLM to generate reliable 3-part specification documents for construction products.
- Designed and developed the entire Azure architecture for document storage, pre-processing, analytics, and training.
- Developed the API that provides the service for the internal team.
AI Developer
Sodexo
- Developed an AI concierge agent using OpenAI's GPT models. The AI tool can understand users' queries and make the right travel API calls to get real answers.
- Used LangChain and Chainlit as the primary development stack.
- Created a configuration architecture that helps the internal team easily adjust the agent's parameters.
AI Developer
Goldslate
- Built the engine that uses AI's LLM to normalize and automate how real estate financial statements are managed.
- Developed a Slackbot for users' interaction with the AI engine.
- Integrated the solution into the client's existing portal with APIs.
AI Developer
LB.AI Inc.
- Developed an ecosystem that connects to a database and allows users to ask natural language queries to get immediate responses from the database.
- Developed a Telegram bot that integrates with the conversational ecosystem and allows the interaction of the user with the database.
- Integrated OpenAI's LLMs (prompt design, API development) for translating natural language queries into SQL code.
Staff ML Engineer | Data Scientist
Lummetry.AI
- Collaborated as a part of the founding team that built a startup from zero until the leading security services providers in Romania acquired it.
- Defined ML/DL architectures and implementation plans for all proofs-of-concept (PoC), custom services, and products we developed.
- Designed, built, trained, and deployed into production neural models for predictive analytics, natural language processing (NLP), and computer vision.
- Implemented ML/DL pipelines for a distributed AI-based near-real-time safety and security system. Automated the surveillance system in bank branches.
- Led the predictive analytics area for online retail recommendations and automatic category management.
- Implemented predictive analytics systems for diminishing the out-of-stock and overstock burden by predicting sales and discovering duplicate payments.
Undergraduate Teaching Assistant
University Politehnica of Bucharest
- Acted as the teaching assistant for the graduate course "Data Science with Deep Learning."
- Provided teaching assistance for the undergraduate laboratory "Object Oriented Programming."
- Prepared laboratory materials, support, exercises, and home assignments. Helped the students to solve problems and offered constructive feedback.
Experience
Legal Documents Processing
• Exposes the functionalities via REST APIs to be integrated into the client's ecosystem
• Drastically reduced human costs that manually performed the tasks
Distributed AI-based Near-real-time Safety and Security System
• The purpose of this product is to gather data from multiple streams (CCTV cameras, video files, sensors). I analyzed all the data in near-real-time using deep neural models to apply some algorithms for raising alerts when needed (e.g., crowded zones, people fallen or in distress, obstructed camera, etc.) or just performing some distributed jobs (e.g., blurring a video file).
• Allows deep neural models to be continuously improved by training them with data collected in production.
• Communicates with the IoT platform that integrates all the alerts via MQTT.
LENS+
http://lens.lummetry.ai• Evaluated demand and sales forecasting based on complex non-linear patterns.
• Identified customer needs changes and constructed data-driven automatic insights.
• Integrated into retail solutions as processes that train models on the client's data and outputs results which are used to take some actions.
PaidAnalytix
https://www.paidanalytix.com• Developed a neural model to identify duplicate payments.
• With the use of siamese neural networks, the model could cut the quantity of manual labor by 90% while maintaining a 95% recall rate.
• Analyzed all payments in an Excel file and output the duplicate pairs.
MultiGatedUnit
https://ieeexplore.ieee.org/document/9324853• The architecture aimed to reduce the ample experimental time and computational resources due to the search process of the architectural design.
Skills
Languages
Python 3, Bash, Python, SQL, Regex, C++, Java, HTML, CSS
Libraries/APIs
TensorFlow, Keras, Pandas, NumPy, Matplotlib, PyTorch, Scikit-learn, REST APIs, SpaCy, OpenCV, Natural Language Toolkit (NLTK)
Tools
GitHub, PyCharm, ChatGPT, Pytest, Jupyter, Docker Compose, TensorBoard, Named-entity Recognition (NER), RabbitMQ, Azure Machine Learning, Azure Kubernetes Service (AKS), Google AI Platform, Celery
Paradigms
Data Science, ETL, Testing, Microservices, Object-oriented Programming (OOP), Siamese Neural Networks, Automation, Test-driven Development (TDD), Continuous Deployment, Continuous Integration (CI)
Platforms
Linux, MacOS, Docker, Windows, NVIDIA CUDA, Jupyter Notebook, Amazon Web Services (AWS), Azure, AWS Lambda
Other
Machine Learning, Software Engineering, Algorithms, Deep Learning, Artificial Intelligence (AI), Natural Language Processing (NLP), Predictive Analytics, Computer Vision, Optimization, Linear Algebra, Directed Acrylic Graphs (DAG), Transfer Learning, Data Analytics, Research, Servers, Data Visualization, Performance Tuning, Performance Testing, Text Classification, Recommendation Systems, ML Pipelines, Object Tracking, Deep Neural Networks, Convolutional Neural Networks (CNN), Image Annotation, AI Design, Image Processing, Distributed Systems, Processing & Threading, Data Analysis, GPT, Generative Pre-trained Transformers (GPT), Chatbots, LangChain, OpenAI GPT-4 API, OpenAI GPT-3 API, Predictive Modeling, Automated Data Flows, Scripting, Back-end Development, Large Language Models (LLMs), Language Models, OpenAI, OpenAI API, API Integration, APIs, Generative Pre-trained Transformer 3 (GPT-3), Operating Systems, Statistics, Big Data, Calculus, Web Scraping, Data Engineering, Object Detection, Object Classification, Time Series, Machine Learning Operations (MLOps), Leadership, Graphics Processing Unit (GPU), BERT, OOP Designs, Data, Regular Expressions, Pinecone, Weviate, Reinforcement Learning, Deep Reinforcement Learning, MLflow, GitHub Actions, Decentralized Systems, FastAPI, Multiprocessing, Slackbot, Interactive JavaScript, HTML Integration, Data Scraping, Decision Intelligence
Frameworks
Flask, Django
Storage
Databases, Azure Cloud Services, MongoDB, MySQL, PostgreSQL
Education
Bachelor's Degree in Computer Science
University Politehnica of Bucharest - Bucarest, Romania
Certifications
Artificial Intelligence Professional Program
Stanford University
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