Federico Rabinovich
Verified Expert in Engineering
Data Scientist and Developer
Buenos Aires, Argentina
Toptal member since September 19, 2022
Federico is an IT professional who has served hundreds of clients over the last 15 years, always going the extra mile to deliver superb products. He became passionate about deep learning five years ago and has worked on various AI-related projects, from time series forecasting with LSTM to computer vision and NLP tasks using ConvNets and Transformers. Federico has built models to automate document verification, saving thousands of hours of manual work and preventing fraud for millions.
Portfolio
Experience
- Machine Learning - 6 years
- Python - 5 years
- Convolutional Neural Networks (CNNs) - 5 years
- Deep Learning - 5 years
- Unsupervised Learning - 5 years
- Artificial Intelligence (AI) - 5 years
- Supervised Learning - 5 years
- Computer Vision - 4 years
Availability
Preferred Environment
Jupyter Notebook, Google Colaboratory (Colab), Google Docs, Visual Studio
The most amazing...
...model I've built was able to obtain excellent predictions for short-term fluctuations in the Buenos Aires Stock Exchange, improving my client's ROI by 85%.
Work Experience
AI Engineer
Toptal
- Developed a new training methodology for Bert-base classifiers achieving human-level performance for classification tasks (NLP).
- Trained CV models (Yolov8) for object detection with a novel approach to synthesizing new data points.
- Built a RAG-based chatbot (LangChain, vector store, GPT4), providing an easy-to-use and fact-based interface for users to interact with proprietary data.
- Developed different evaluation metrics for LLMs and chatbot apps.
Data Scientist | Data Specialist
Konfio
- Tackled various NLP-related tasks for different business use cases. Image processing and CV-related jobs for anomaly detection and fraud prevention.
- Deployed and productionized models over the AWS infrastructure.
- Performed monitoring, backtesting, and analytics over the productionized models to gather performance metrics and iterate to deploy new versions.
Data Scientist
Grupo Alpha Investing
- Worked on several deep learning and machine learning models to create reliable predictors for stock exchange short-term fluctuations.
- Implemented and productionized LSTM-based networks to make predictions and operate autonomously in the Buenos Aires Stock Exchange market.
- Achieved an 85% increase in ROI for clients' investments compared to the previous domain-knowledge investment strategies.
Software Engineer | Machine Learning
Swiftpark Australia
- Designed and developed a web-based system to manage parking automation in Australia.
- Outlined and supervised the development of a mobile app for parking inspectors using geolocation and computer vision to pick up license plate digits.
- Assumed the ownership of the entire project, discussing requirements and goals with the business owner.
Full-stack Web Developer
PampaWorks
- Developed custom content management systems (CMS) for hundreds of websites on demand.
- Assessed customers' needs and converted them into specific technical requirements.
- Implemented documented requirements, building hundreds of administrable websites.
Experience
Alternative Algorithm to Train ConvNets
NLP Based System for Automatic Quality Assessment on Customer Phone Calls
Time Series Forecasting Using LSTM Architectures
AI (CV) Predictor for Estimating Sowing Land and Crop Types
ML Predictor for Detecting When a Car Has Already Park
Education
Master's Degree in Data Science
University of Buenos Aires - Buenos Aires, Argentina
Bachelor's Degree in Systems Engineering
Aeronautical University Institute - Cordoba, Argentina
Professional Degree in Systems Analysis
Aeronautical University Institute - Cordoba, Argentina
Certifications
Computer Vision Nanodegree
Udacity
Practical Data Science
AWS
Building Cloud Computing Solutions at Scale
Duke University
Natural Language Processing
DeepLearning.AI
Tensorflow Developer
DeepLearning.AI
AI for Medicine
Deep Learning AI
Deep Learning
DeepLearning.AI
Data Mining and Knowledge Discovery
University of Buenos Aires
Skills
Libraries/APIs
NumPy, Pandas, Scikit-learn, OpenCV, Keras, PyTorch, TensorFlow, XGBoost
Tools
Google Docs, Visual Studio, ChatGPT, You Only Look Once (YOLO), Amazon SageMaker
Languages
Python, Python 3, SQL, JavaScript, C#, Java, PHP, HTML, CSS
Platforms
Jupyter Notebook, Amazon Web Services (AWS), AWS Lambda
Paradigms
Anomaly Detection
Storage
MySQL, Amazon S3 (AWS S3)
Frameworks
LightGBM
Other
Google Colaboratory (Colab), Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Unsupervised Learning, Supervised Learning, Programming, Web Development, Data Science, Time Series, Convolutional Neural Networks (CNNs), Artificial Intelligence (AI), Computer Vision Algorithms, Algorithms, Large Language Models (LLMs), Supervised Machine Learning, Classification Algorithms, AI Design, Data Processing Automation, MVP Design, AI Programming, Deep Neural Networks (DNNs), NLU, Generative Pre-trained Transformers (GPT), Language Models, Fine-tuning, Data Scientist, Hugging Face, Predictive Modeling, Time Series Analysis, Neural Networks, Transformer Models, Object Detection, Minimum Viable Product (MVP), BERT, Logistic Regression, Long Short-term Memory (LSTM), Optical Character Recognition (OCR), APIs, Data Analytics, Forecasting, Data Visualization, Image Processing, Decision Trees, Text Processing, Image Analysis, Natural Language Understanding (NLU), Image Generation, Document Parsing, Graphics Processing Unit (GPU), OpenAI GPT-3 API, Prompt Engineering, OpenAI GPT-4 API, Generative Artificial Intelligence (GenAI), Retrieval-augmented Generation (RAG), Generative Adversarial Networks (GANs), Chatbots, CI/CD Pipelines, OpenAI, Generative Pre-trained Transformer 3 (GPT-3), Text to Speech (TTS), Cloud, LangChain
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