Who is Lan Le N? Overview
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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.
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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.
Lan Le N's current company
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Lan Le N work experience
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Software Engineer
Software/ Ai Engineer Ii
• 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.
Software/ Ai Engineer I
• 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.
Software Engineer
• 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.
Computer Vision Intern
Working on advance lane detection for Augmented Reality GPS system on iOS
Application Engineer
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.
Hardware Test Engineer
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
Technical Expert
Provided computer, network and software technical expert to assist residence halls during Fall semester move-in.
Lan Le N education
Deep Reinforcement Learning
Computer Vision
Deep Learning
Bachelor’S Degree, Major: Electrical Engineering. Minor: Biomedical Engineering
Frequently asked questions about Lan Le N
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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.
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