Lan Le N
AeroLeads people directory · profile

Lan Le N Email & Phone Number

Machine Learning Engineer at Atmee.AI
Location: Palo Alto, California, United States 9 work roles 4 schools
LinkedIn matched
✓ Verified July 2026 3 data sources Profile completeness 100%

Contact Signals

LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Machine Learning Engineer
Location
Palo Alto, California, United States

Who is Lan Le N? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Lan Le N is listed as Machine Learning Engineer at Atmee.AI, based in Palo Alto, California, United States. AeroLeads shows a matched LinkedIn profile for Lan Le N.

Lan Le N previously worked as Software Engineer at Google and Software/ AI Engineer II at Phiar. Lan Le N holds Deep Reinforcement Learning from Udacity.

Company email context

Email format at Atmee.AI

This section adds company-level context without repeating Lan Le N's masked contact details.

Atmee.AI

Review company-level records connected to Lan Le N before choosing the right outreach path.

Profile bio

About Lan Le N

My name is Lan Le, originally from Saigon, Vietnam – “The Paris of the East” – and I graduated from Virginia Tech with a B.S. in Electrical Engineering and a minor in Biomedical Engineering. Engineering has always been my passion. I am hopeful for a future where technology and engineering converge to resolve humanity's most important social and environmental issues. I'm also a deep learning (DL) enthusiast and my biggest interest is in the use of DL to help find solutions for to some technical problems that I think are very crucial in society these days such as medical imaging, navigation and self-driving car.Currently I’m a software engineer at Phiar Technologies Inc where I help create AI-powered AR Navigation system on the phone. Recently, I focused on mostly the deep learning pipeline of the company including processing image data, training and deploying our DL model onto the phone. In addition, I also help with maintaining the stability of the app as well as prototyping, deploying, and optimizing image processing algorithm on the phone by using accelerated library or parallel computation.When I'm not doing work, I enjoy spending time learning more about the fundamental knowledge of programming and deep learning using various online resources. I really enjoy reading about the newest SOTA deep learning techniques, especially those that were published at top conferences such as ICLR, CVPR and NEURIPS. I also find it useful to strengthen newly learned knowledge by understanding, prototyping and applying them to solve some simply problems or even apply them directly to my work. I'm also tirelessly pushing forward toward my goals and carves new paths in the design process to provide better solution to the problem I’m facing.

Listed skills include Teamwork, Entrepreneurship, Leadership, Microsoft Excel, and 31 others.

Current workplace

Lan Le N's current company

Company context helps verify the profile and gives searchers a useful next step.

Atmee.AI
Atmee.Ai
Machine Learning Engineer
United States
Website
AeroLeads page
9 roles

Lan Le N work experience

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

Machine Learning Engineer

United States

Software Engineer

Mountain View, Ca, Us

Software/ Ai Engineer Ii

Redwood City, Ca, Us

• Continue to fulfill the responsibilities of Software Engineer I• Improve end-to-end development cycle by introducing different ML/ DL tools such as Hydra configuration and static type checks• Fully integrated and deployed SOTA object detections model to in-vehicle system and android devices• First engineer on the team to assess the feasibility of new features/ functions and models before further development to avoid incompatibility between the developing products and the deployment platforms.• Assist other engineers/ researchers to troubleshoot issues to avoid progress delay.

Apr 2022 - Sep 2022

Software/ Ai Engineer I

Redwood City, Ca, Us

• Improving accuracy and inference time for neural network models by applying different SOTA techniques.• Develop and maintain end-to-end ML/ DL pipeline, including data collection, data labeling, data processing, float model training, quantization and on-device deployment / benchmarking which help improve ML development experience.• Design and maintain scalable infrastructures for ML pipeline such as integrating CI/CD system and ML tracking experiments tool. • Participate in rapid prototype for new ML model concept which can be used for fund raising.• Help bridge the gap between ML team and Perception & Software team.

Sep 2019 - Jun 2022

Software Engineer

Redwood City, Ca, Us

• Work on full AI pipeline including collect and preprocess data, train and deploying model onto iOS devices• Creating and maintaining unit test infrastructure• Prototype and deploy image processing, computer vision and deep learning algorithms on iOS device• Maintain the stability of the deployed ADAS algorithms• Optimizing neural network prediction pipeline and computer vision algorithm by using iOS Metal (GPU) parallel computing capability.

Sep 2018 - Sep 2019

Computer Vision Intern

Redwood City, Ca, Us

Working on advance lane detection for Augmented Reality GPS system on iOS

Mar 2018 - Sep 2018

Application Engineer

Memsitech

Working in a startup environment on 3 projects:• Saliva Glucose Meter: develop methods in image processing to compare the color of the test strips through images capture by phone.• ECG: filter signal taken from electrodes to obtain ECG signals using FIR filters• Respiratory Rate: filter signal taken from accelerometer to get the respiratory signal. Hence, will be used to implement Kalman Adaptive Filter.

May 2017 - Jul 2017

Hardware Test Engineer

Chandler, Arizona, Us

2016 Viavi Solutions – Co-op – Hardware Test Engineer Collaborate with senior design hardware engineers:• Conducting Thermal, Radiated Emission and Electromagnetic Conducting tests• Optical Transceiver evaluation tests at different speed and temperature and jitter measurement.• Setup remote control setting for IPMI• Assessing DSP and FPGA card as well as conduct general assessment and debug PCB.• Design 1-PPS Adapter For Time Expansion Module• Setup and Test New 4U Server

Jun 2016 - Dec 2016

Technical Expert

4Help - Get Connected (Virginia Tech It Department)

Provided computer, network and software technical expert to assist residence halls during Fall semester move-in.

Aug 2015 - Aug 2015
4 education records

Lan Le N education

Deep Reinforcement Learning

Udacity

Computer Vision

Udacity

Deep Learning

Udacity

Bachelor’S Degree, Major: Electrical Engineering. Minor: Biomedical Engineering

Virginia Tech
FAQ

Frequently asked questions about Lan Le N

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

What company does Lan Le N work for?

Lan Le N works for Atmee.AI.

What is Lan Le N's role at Atmee.AI?

Lan Le N is listed as Machine Learning Engineer at Atmee.AI.

Where is Lan Le N based?

Lan Le N is based in Palo Alto, California, United States while working with Atmee.AI.

What companies has Lan Le N worked for?

Lan Le N has worked for Atmee.Ai, Google, Phiar, Memsitech, and Viavi Solutions.

How can I contact Lan Le N?

You can use AeroLeads to view verified contact signals for Lan Le N at Atmee.AI, including work email, phone, and LinkedIn data when available.

What schools did Lan Le N attend?

Lan Le N holds Deep Reinforcement Learning from Udacity.

What skills is Lan Le N known for?

Lan Le N is listed with skills including Teamwork, Entrepreneurship, Leadership, Microsoft Excel, Matlab, Public Speaking, Research, and Testing.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.