Felipe Mello
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Felipe Mello Email & Phone Number

Sr. Machine Learning Engineer at Cohere Health
Location: Greater Philadelphia, United States 10 work roles 3 schools
1 work email found @coherehealth.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email f****@coherehealth.com
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Current company
Role
Sr. Machine Learning Engineer
Location
Greater Philadelphia, United States

Who is Felipe Mello? Overview

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Quick answer

Felipe Mello is listed as Sr. Machine Learning Engineer at Cohere Health, based in Greater Philadelphia, United States. AeroLeads shows a work email signal at coherehealth.com and a matched LinkedIn profile for Felipe Mello.

Felipe Mello previously worked as Software Engineer - GenAI at Meta and Staff Machine Learning Engineer at Cohere Health. Felipe Mello holds Master Of Science - Ms, Computer Science from Georgia Institute Of Technology.

Company email context

Email format at Cohere Health

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{first}.{last}@coherehealth.com
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AeroLeads found 1 current-domain work email signal for Felipe Mello. Compare company email patterns before reaching out.

Profile bio

About Felipe Mello

Green card holder. 6+ years of Python/ML experience. Proven record of generating value. Experience includes Natural Language Processing (NLP), Knowledge Graphs (KG) and Computer Vision (CV). Currently focused on LLMs. I am passionate about what I do;I enjoy solving meaningful complex problems and generating value;I believe that investing time helping other engineers is net positive;----------------------Previous work before working at Cohere Health and Teva:- In 2019 I joined ML competition at Kaggle. Top results were:• Santander’s transactions: 70th / 8802 teams• Earthquake prediction: 111th / 4540 teams• Molecular properties: 99th / 2749 teams• Kaggle artificial data: 137th / 1832 teams- Founded my own startup, called Camale, where I developed an algorithm for beaconless indoor positioning, which got Camale a place among 100 startups selected from the entire country for a Brazilian government acceleration program, called Inovativa;- Worked at Anhauser-Busch Inbev's (ABI) Disruptive Growth Office, called ZX Ventures, where I performed product development and marketing/e-commerce analysis.- In 2017, I graduated with honors, given to top 3 best GPAs on graduation day, and received my bachelor's degree in Mechanical Engineering from UNESP (Brazil), ranked 10th best university in Latin America (Times Higher Education, 2019). After graduation, I focused on developing my skills in Python and Machine Learning;- I can fluently speak and write in Portuguese and English. I can also understand and read Spanish.- While in college, founded and led CEU, an Entrepreneurship Club, composed by over 60 college students that directly impacted more than 1,000 people through multiple events, workshops and competitions such as Hackathons and TEDx talks- Received a full scholarship from the Brazilian Scientific Mobility Program to study abroad in the USA for a year at the University of Rhode Island;

Listed skills include Leadership, Neural Networks, Scikit Learn, Pandas, and 17 others.

Current workplace

Felipe Mello's current company

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Cohere Health
Cohere Health
Sr. Machine Learning Engineer
Trenton, NJ, US
AeroLeads page
10 roles

Felipe Mello work experience

A career timeline built from the work history available for this profile.

Software Engineer - Genai

Current

Menlo Park, Ca, Us

Mar 2024 - Present

Staff Machine Learning Engineer

Boston, Massachusetts, Us

Mixed SWE/ML research role, focused on NLP. Acted as a tech lead, mentoring a team of 10 engineers. • Significantly improved NLP results by implementing state-of-the-art techniques, Retrieval Augmented Generation (RAG) and creating a data labeling pipeline. Good results led to hiring full time nurses for labeling; • Wrote and maintained a library, used by multiple engineers, that streamlined model development; • Developed and deployed tens of transformers, impacting over 70 services and millions of people;• Pitched and led an initiative that reduced the time to develop/deploy ML models from 10 weeks to few days; • Implemented W&B experiment tracking; • Pitched and led a paradigm change in deployment, from single model instances to multi-modal instances using LoRA adapters, reducing footprint and tech debt; • Currently working on expanding our ML impact by designing scalable modeling processes;

Jan 2024 - Mar 2024

Senior Machine Learning Engineer

Boston, Massachusetts, Us

Nov 2022 - Jan 2024

Machine Learning Scientist

Tel-Aviv, Il

Responsible for managing and developing ML/AI solutions. Was promoted to senior in 2023. Supervised a co-op.• Graph Neural Networks: Built a pipeline to process knowledge graphs, train GNNs and interpret their results. Used it to rank and recommend novel associations between biological entities (gene, disease, drugs, etc);• Natural Language Processing: Developed a tool that allowed multiple stakeholders to visualize, label and classify their own data with transformers, so that they could retrieve the information they needed from hundreds of thousands of documents; • Image segmentation: Used OpenCV to label data and CNN to train a deep learning model for nerve density assessment in mice;Responsible for managing and developing ML/AI solutions. Was promoted to senior in 2023. Supervised a co-op.• Graph Neural Networks: Built a pipeline to process knowledge graphs, train GNNs and interpret their results. Used it to rank and recommend novel associations between biological entities (gene, disease, drugs, etc);• Natural Language Processing: Developed a tool that allowed multiple stakeholders to visualize, label and classify their own data with transformers, so that they could retrieve the information they needed from hundreds of thousands of documents; • Image segmentation: Used OpenCV to label data and CNN to train a deep learning model for nerve density assessment in mice;

Jan 2020 - Oct 2022

Founder / Developer

São Paulo, Sp, Br

• Using python and matlab, I developed a software that utilized smartphone sensors to autonomously map indoor venues and track customers with 2m precision;• Camale was one of 100 startups in the country to be selected for the Brazilian Government acceleration program Inovativa;

Jul 2017 - Jan 2019

Analyst / Product Developer

Leuven, Be

Worked in the Disruptive Growth Office (ZX Ventures)- Designed and built a tech solution for craft beer recommendations in supermarkets. In storeswith that solution, ABI sold 17% more;- Developed a methodology to efficiently forecast sales results and improve out-of-stock andoverstocking challenges;- Expanded ABI’s craft beer merchandising portfolio by handling everything from productdesign to sales analytics, resulting in a 16% increase in revenue;

Jul 2016 - Jun 2017

Tedx Organizer

New York, Ny, Us

As part of our activities in the Entrepreneurship Center in college, we organized the event TEDxUnespBauru - the first TEDx event of São Paulo State University.

Nov 2015 - Jul 2016

Founder / President

Bauru, São Paulo, Br

Founded and led CEU, an Entrepreneurship Club, composed by over 60 college students that directly impacted more than 1,000 people in its first year through multiple events, workshops and competitions such as Hackathons.

Feb 2015 - Jul 2016
3 education records

Felipe Mello education

Master Of Science - Ms, Computer Science

Georgia Institute Of Technology

Bachelor Of Science In Mechanical Engineering

Universidade Estadual Paulista Júlio De Mesquita Filho

International Student, Mechanical Engineering

University Of Rhode Island
FAQ

Frequently asked questions about Felipe Mello

Quick answers generated from the profile data available on this page.

What company does Felipe Mello work for?

Felipe Mello works for Cohere Health.

What is Felipe Mello's role at Cohere Health?

Felipe Mello is listed as Sr. Machine Learning Engineer at Cohere Health.

What is Felipe Mello's email address?

AeroLeads has found 1 work email signal at @coherehealth.com for Felipe Mello at Cohere Health.

Where is Felipe Mello based?

Felipe Mello is based in Greater Philadelphia, United States while working with Cohere Health.

What companies has Felipe Mello worked for?

Felipe Mello has worked for Cohere Health, Meta, Teva Pharmaceuticals, Camale Technologies, and Anheuser-Busch Inbev.

How can I contact Felipe Mello?

You can use AeroLeads to view verified contact signals for Felipe Mello at Cohere Health, including work email, phone, and LinkedIn data when available.

What schools did Felipe Mello attend?

Felipe Mello holds Master Of Science - Ms, Computer Science from Georgia Institute Of Technology.

What skills is Felipe Mello known for?

Felipe Mello is listed with skills including Leadership, Neural Networks, Scikit Learn, Pandas, Empreendedorismo, Microsoft Powerpoint, Matlab, and Data Analysis.

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