Francisco Romaldo Mendes
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Francisco Romaldo Mendes Email & Phone Number

Senior AI/ML Engineer | Deep Neural Networks, Algorithm Optimization at Lyft
Location: Chicago, Illinois, United States 6 work roles 2 schools
1 work email found @bcg.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Current company
Role
Senior AI/ML Engineer | Deep Neural Networks, Algorithm Optimization
Location
Chicago, Illinois, United States
Company size

Who is Francisco Romaldo Mendes? Overview

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Quick answer

Francisco Romaldo Mendes is listed as Senior AI/ML Engineer | Deep Neural Networks, Algorithm Optimization at Lyft, a company with 26492 employees, based in Chicago, Illinois, United States. AeroLeads shows a work email signal at bcg.com and a matched LinkedIn profile for Francisco Romaldo Mendes.

Francisco Romaldo Mendes previously worked as Senior AI/ ML Engineer in Embedded Systems (Automotive Acoustic/ Image Sensing Systems) at Renesas Electronics and Data Scientist / Consultant at Boston Consulting Group (Bcg). Francisco Romaldo Mendes holds Graduate Degree, Computational Economics from University Of Chicago.

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Email format at Lyft

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{first_initial}{last}@bcg.com
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Profile bio

About Francisco Romaldo Mendes

At Renesas Electronics, our team enhances automotive safety through state-of-the-art vision/LiDAR/acoustic sensing systems. With a strong foundation in sensors and expertise in algorithm optimization, we develop Python and C++ algorithms that seamlessly integrate with vehicular technology. Our work revolutionizes how vehicles perceive their environment, ensuring a safer driving experience.Educated at the University of Chicago and Indian Statistical Institute, my approach combines statistical principles with machine learning to tackle complex challenges. Core competencies include Deep Neural Networks and Hidden Markov Models, underscoring a commitment to innovation in embedded AI systems. Outside of work I am passionate about making the world a better place via community outreach and mentorship for communities underrepresented in STEM.

Listed skills include Presentation Skills, Algorithm Optimization, Pandas, R, and 46 others.

Current workplace

Francisco Romaldo Mendes's current company

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Lyft
Lyft
Senior AI/ML Engineer | Deep Neural Networks, Algorithm Optimization
Chicago, IL, US
Website
Employees
26492
AeroLeads page
6 roles

Francisco Romaldo Mendes work experience

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

Role listed

Chicago, IL, US

Senior Ai/ Ml Engineer In Embedded Systems (Automotive Acoustic/ Image Sensing Systems)

Current

Koto-ku, Toyosu, Tokyo, JP

  • Detection, identification and tracking of sound targets in the acoustic environment around automobiles
  • Developing new ideas and algorithms (in Python / C++) to improve performance and fuse data with other automotive systems
  • Designing acoustic signal-processing-based pre-processing stages and feature spaces.
Jul 2023 - Present

Data Scientist / Consultant

Boston, Massachusetts, US

  • Designed and deployed high frequency pricing algorithms for a large automotive manufacturer, incorporating neural network models and economic optimization problems.
  • Led the development of a recommendation engine for a large US retailer, leveraging neural network and Bayesian matrix factorization in C++ for improved performance. I also oversaw a Bayesian approach to evaluating the.
  • Communicate results to a wide variety of audiences and cross functional teams (both technical and non-technical)
Jul 2022 - Jul 2023

Research Assistant

Chicago, IL, US

Studying the tonal and spectral characteristics of parentese and its impact on early childhood development. Working with Professors John List and Dana Susskind. Developed the LENA wearable device.

Nov 2020 - Jul 2022

Senior Data Scientist

Worldwide, OO

Sep 2019 - Sep 2020

Statistical Consultant

Worldwide, OO

As a part of Deloitte's core Advanced Analytics and Data Science team my work is mainly in advanced analytics (using core statistical, engineering and mathematical insights) to help businesses with unique domain specific problems. I work mainly in the areas of signal processing, advanced time series analysis, spectral analysis and Monte Carlo simulations..

Jun 2016 - Sep 2020
Team & coworkers

Colleagues at Lyft

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2 education records

Francisco Romaldo Mendes education

Graduate Degree, Computational Economics

University Of Chicago

Master'S Degree, Statistics (Qe) (Thesis : Auction Theory)

Indian Statistical Institute, Kolkata
FAQ

Frequently asked questions about Francisco Romaldo Mendes

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

What company does Francisco Romaldo Mendes work for?

Francisco Romaldo Mendes works for Lyft.

What is Francisco Romaldo Mendes's role at Lyft?

Francisco Romaldo Mendes is listed as Senior AI/ML Engineer | Deep Neural Networks, Algorithm Optimization at Lyft.

What is Francisco Romaldo Mendes's email address?

AeroLeads has found 1 work email signal at @bcg.com for Francisco Romaldo Mendes at Lyft.

Where is Francisco Romaldo Mendes based?

Francisco Romaldo Mendes is based in Chicago, Illinois, United States while working with Lyft.

What companies has Francisco Romaldo Mendes worked for?

Francisco Romaldo Mendes has worked for Lyft, Renesas Electronics, Boston Consulting Group (Bcg), Tmw Center For Early Learning + Public Health, and Deloitte.

Who are Francisco Romaldo Mendes's colleagues at Lyft?

Francisco Romaldo Mendes's colleagues at Lyft include Stacy Fiske, Juan Valentin, Yang Qiao, Robert Lugo, and John Perdomo.

How can I contact Francisco Romaldo Mendes?

You can use AeroLeads to view verified contact signals for Francisco Romaldo Mendes at Lyft, including work email, phone, and LinkedIn data when available.

What schools did Francisco Romaldo Mendes attend?

Francisco Romaldo Mendes holds Graduate Degree, Computational Economics from University Of Chicago.

What skills is Francisco Romaldo Mendes known for?

Francisco Romaldo Mendes is listed with skills including Presentation Skills, Algorithm Optimization, Pandas, R, Public Speaking, Content Based Filtering, Algorithms, and Predictive Modeling.

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