Francisco Ingham

Rising Codementor

US$15.00

For every 15 mins

ABOUT ME

Deep learning Sr. developer w/ +4 years experience @NASDAQ100 company

Hi! I'm Francisco, nice to meet you :)

I'm a product-oriented machine learning developer, focused on deep learning. I have a proven track record of adding business value by leveraging machine learning solutions, particularly excelling at NLP where I have extensive experience. My passion is applying cutting-edge techniques to build delightful products.

I have a proven track record of autonomously building highly impactful machine learning solutions.
I have deep experience in NLP where I can effectively address problems using simple tools (scikit-learn, spaCy) or leverage more complex ones (hugging-face, sentence-transformers, farm-haystack)
I communicate clearly and effectively and have a few years of successful remote work experience, with excellent feedback from everyone whom I worked with.

Buenos Aires (-03:00)

Joined November 2022

EXPERTISE

Deep Learning

4 years experience

My clear preference is PyTorch but I can use any of these libraries effectively

Machine Learning

4 years experience

Used these libraries daily and have extensive experience with all of them

Pandas NumPy Matplotlib

Python

5 years experience

Python is my language of choice and consider myself to have expert knowledge of it

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SOCIAL PRESENCE

GitHub

google-images-dataset

This repository provides the necessary code to create your own Google Images Dataset.

Jupyter Notebook

110

dataset-cleaner

Notebook with the necessary instructions and code to clean your computer vision dataset

Jupyter Notebook

EMPLOYMENTS

Technical Leader

Mercado Libre

2019-05-01-2022-11-01

Main area of specialization is Natural Language Processing (NLP), from simple BOW/skipgram-based approaches to transformer-based, finetun...

Main area of specialization is Natural Language Processing (NLP), from simple BOW/skipgram-based approaches to transformer-based, finetuned architectures. Continuously updated on NLP literature and tools; focused on sentence embeddings, neural search and question answering. A few projects I worked on include building the first algorithmic solution for the deals page, leading the science track for a custom AutoML tool and building a widely used custom text embedding tool based on transformers.

Python

SQL

NumPy

Python

SQL

NumPy

Pandas

Apache Spark

PyTorch

Business Analyst

McKinsey

2017-03-01-2018-06-01

Worked for clients in the insurance industry within McKinsney's digital and analytics practice

Excel

Agile

Alteryx

Excel

Agile

Alteryx

Data Specialist

Zafran

2016-02-01-2016-07-01

- 3rd employee of a fast growing start-up - Worked on the control panel and KPI development - Optimized operating software in Excel so t...

- 3rd employee of a fast growing start-up - Worked on the control panel and KPI development - Optimized operating software in Excel so that it ran fast and relevant information was easy to monitor

Excel

PROJECTS

T.A. at fast.ai course at University of San FranciscoView Project

2018

The goal was to mentor students from the Deep Learning for Coders fastai course. While there, I helped build the materials for the cours...

The goal was to mentor students from the Deep Learning for Coders fastai course. While there, I helped build the materials for the course (documentation and tutorials) and to support students in the forums. For details on my experience and student + teacher feedback on my work, please refer to the project link.

Python

PyTorch

Python

PyTorch

Custom AutoML tool

Mercado Libre

2022

The objective of this project was to create an AutoML engine for data science problems. I led the science track of this tool. This meant...

The objective of this project was to create an AutoML engine for data science problems. I led the science track of this tool. This meant building the experimental setup, deciding upon the most informative hypotheses to test and transforming insights into productive features within the tool. With the features we added to the tool we improved task-specific downstream metrics by >20%.

Python