Federico is 可用 for hire

费德里科•拉比诺维奇

验证专家 in 工程

数据科学家和开发人员

Location

布宜诺斯艾利斯，阿根廷

至今成员总数

2022年9月19日

Federico is an IT professional who has served hundreds of clients over the last 15 years, 总是加倍努力，提供一流的产品. 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

Toptal

人工智能编程, Python, TensorFlow, 卷积神经网络(CNN)...

Konfio

生成预训练变压器(GPT)...

阿尔法投资集团

TensorFlow, Python, NumPy, 长短期记忆(LSTM), 时间序列...

Experience

机器学习- 6年 Python - 5年卷积神经网络(CNN) - 5年深度学习- 5年无监督学习- 5年人工智能(AI) - 5年监督学习- 5年计算机视觉- 4年

Availability

兼职

首选的环境

Jupyter笔记本, 谷歌合作实验室(Colab), 谷歌文档, Visual Studio

最神奇的...

...model I've built was able to obtain excellent predictions for short-term fluctuations in the Buenos Aires Stock Exchange, 将客户的投资回报率提高了85%.

工作Experience

人工智能工程师

2022年至今

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.
建立了一个基于rag的聊天机器人(LangChain), 向量存储, 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.

技术:人工智能编程, Python, TensorFlow, 卷积神经网络(CNN), 大型语言模型(llm), 深度学习, 计算机视觉, 数据科学, OpenAI, Cloud, AWSλ, Amazon S3 (AWS S3), 自然语言处理(NLP), 机器学习, LangChain, Chatbots, 逻辑回归

数据科学家|数据专家

2021 - 2022

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.
执行监控, val, and analytics over the productionized models to gather performance metrics and iterate to deploy new versions.

技术:GPT, 自然语言处理(NLP), 生成预训练变压器(GPT), 计算机视觉, TensorFlow, Python, AWSλ, Amazon S3 (AWS S3), 数据科学, 深度学习, 机器学习, 监督式学习, 无监督学习, OpenCV, 计算机视觉算法, 人工智能(AI), APIs, 数据分析, 算法, 数据可视化, OpenAI, 生成预训练变压器3 (GPT-3), 图像处理, 大型语言模型(llm), 亚马逊网络服务(AWS), 异常检测, XGBoost, 决策树, 监督式机器学习, Keras, Python 3, 卷积神经网络(CNN), OCR, MySQL, 编程, Scikit-learn, Pandas, Jupyter笔记本, SQL, NumPy, 文本处理, 图像分析, 分类算法, AI Design, MVP的设计, 人工智能编程, PyTorch, 自然语言理解(NLU), 语言模型, 微调, 数据科学家, 拥抱的脸, 图形处理器(GPU), ChatGPT, OpenAI GPT-3 API, 提示工程, OpenAI GPT-4 API, 时间序列分析, LightGBM, 神经网络, 生成的人工智能, 变压器模型, 生成式人工智能(GenAI), 最小可行产品(MVP), BERT, 逻辑回归

数据科学家

2018 - 2021

阿尔法投资集团

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.

技术:TensorFlow, Python, NumPy, 长短期记忆(LSTM), 时间序列, 机器学习, 人工智能(AI), APIs, 数据分析, 算法, 预测, 数据可视化, 监督式机器学习, Keras, Python 3, 计算机视觉算法, 编程, Scikit-learn, Pandas, Jupyter笔记本, 谷歌合作实验室(Colab), 深度学习, 监督式学习, 分类算法, AI Design, 数据处理自动化, MVP的设计, 人工智能编程, 微调, 数据科学家, 时间序列分析, 神经网络, 变压器模型, 最小可行产品(MVP)

软件工程师|机器学习

2016 - 2018

Swiftpark澳大利亚

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.
承担整个项目的所有权, discussing requirements and goals with the business owner.

技术:PHP, JavaScript, MySQL, HTML, OCR, 计算机视觉, APIs, 算法, XGBoost, Keras, Python 3, 计算机视觉算法, 编程, Scikit-learn, Pandas, Jupyter笔记本, 机器学习, SQL, 深度学习, 监督式学习, TensorFlow, 分类算法, MVP的设计, 人工智能编程, 最小可行产品(MVP)

全栈Web开发人员

2008 - 2016

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.

技术:PHP, MySQL, JavaScript, HTML, CSS, 算法, 编程, SQL, C#, MVP的设计

Experience

训练卷积神经网络的替代算法

As part of my thesis project, I experimented with alternative algorithms to train ConvNets. These are based on preliminary research on how the visual cortex of mammals learns to summarize visible data progressively through stacked layers, 就像卷积神经网络.

NLP Based System for Automatic Quality Assessment on Customer Phone Calls

Several natural language processing (NLP) based modules were developed to evaluate the quality of phone calls between the company's agents and customers. Every NLP module was designed to check whether the agent followed specific rules and policies during the conversation. 我设置了算法和技术, 包括语音识别, 模糊匹配, 基于变压器的模型(BERT), GPT-3).

使用LSTM架构的时间序列预测

Created a stock market autonomous operator for short-term positions. Based on LSTM architecture and using both short-term temporal data and long-term indicators. I developed a system to operate in real-time according to the outcome of its predictions.

AI (CV) Predictor for Estimating Sowing Land and Crop Types

Based on Satellite imagery from different frequency bands, 这个预测器估计其他作物的产量. Various models were developed and tested with different approaches. 其中有一种是纯统计图像分割, 决策树集合(XGBoost), 和其他人.

机器学习预测器，用于检测汽车何时已经停车

This project aimed to detect whether the event of parking the car had taken place or not in real-time. The model was meant to be deployed in an edge device inside the car, taking its accelerometer's signals as input to the model and making real-time predictions every few seconds.

教育

2019 - 2023

数据科学硕士学位

布宜诺斯艾利斯大学-布宜诺斯艾利斯，阿根廷

2010 - 2017

系统工程学士学位

航空大学学院-科尔多瓦，阿根廷

2010 - 2015

系统分析专业学位

航空大学学院-科尔多瓦，阿根廷

认证

2022年3月至今

计算机视觉

Udacity

2021年12月至今

实用数据科学

AWS

2021年7月至今

大规模构建云计算解决方案

杜克大学

2021年5月至今

自然语言处理

DeepLearning.AI

2021年2月至今

Tensorflow开发人员

DeepLearning.AI

2020年12月至今

医学人工智能

深度学习人工智能

2020年12月至今

深度学习

DeepLearning.AI

2019年12月至今

数据挖掘和知识发现

布宜诺斯艾利斯大学

Skills

库/ api

NumPy, Pandas, Scikit-learn, OpenCV, Keras, PyTorch, TensorFlow, XGBoost

Tools

谷歌文档, Visual Studio, ChatGPT, You Only Look Once (YOLO), Amazon SageMaker

Languages

Python, Python 3, SQL, JavaScript, C#, Java, PHP, HTML, CSS

Platforms

Jupyter笔记本, 亚马逊网络服务(AWS), AWSλ

Paradigms

数据科学，异常检测

框架

LightGBM

Storage

MySQL, Amazon S3 (AWS S3)

Other

谷歌合作实验室(Colab), 机器学习, 深度学习, 计算机视觉, 自然语言处理(NLP), 无监督学习, 监督式学习, 编程, Web开发, 时间序列, 卷积神经网络(CNN), 人工智能(AI), 计算机视觉算法, 算法, 大型语言模型(llm), 监督式机器学习, 分类算法, AI Design, 数据处理自动化, MVP的设计, 人工智能编程, 深度神经网络, NLU, 生成预训练变压器(GPT), 语言模型, 微调, 数据科学家, 拥抱的脸, 预测建模, 时间序列分析, 神经网络, 生成的人工智能, 变压器模型, 对象检测, 最小可行产品(MVP), BERT, 逻辑回归, 长短期记忆(LSTM), OCR, APIs, 数据分析, 预测, 数据可视化, 图像处理, 决策树, 文本处理, 图像分析, 自然语言理解(NLU), 图像生成, 文档解析, 图形处理器(GPU), OpenAI GPT-3 API, 提示工程, OpenAI GPT-4 API, 生成式人工智能(GenAI), 检索增强生成(RAG), 生成对抗网络(GANs), Chatbots, CI / CD管道, OpenAI, 生成预训练变压器3 (GPT-3), 文本转语音(TTS), Cloud, LangChain

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