Alexis Yang Email & Phone Number
@flir.com
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Who is Alexis Yang? Overview
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Alexis Yang is listed as MLE @ Meta | MSE in CIS @ UPenn at Meta, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at flir.com and a matched LinkedIn profile for Alexis Yang.
Alexis Yang previously worked as Machine Learning Engineer at Meta and Research Assistant at University Of Pennsylvania. Alexis Yang holds Master Of Science In Engineering - Mse, Computer Science (Cis) from University Of Pennsylvania.
Email format at Meta
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AeroLeads found 1 current-domain work email signal for Alexis Yang. Compare company email patterns before reaching out.
About Alexis Yang
CS Master with 2+ years of experience in ML and backend. Self-driven in learning new tools and frameworks. Broadly interested in generative AI on language and vision.Please feel free to reach out!
Listed skills include C++, Python, Verilog, Opencv, and 15 others.
Alexis Yang's current company
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Alexis Yang work experience
A career timeline built from the work history available for this profile.
Research Assistant
Topic: gender bias and interpretability of self-supervised visual representations. Reinforcement learning-based data attribution.
Software Engineer Intern (Ml)
- NLP for Messenger/conversational AI
- Proposed and trained a two-tower model for text suggestion
- Built data collection and training pipelines using Hive and PyTorch Lightning; cleaned messy text features
- Compressed a RoBERTa encoder using quantization and knowledge distillation
Software Engineer
- Developed video analytics solutions for Teledyne FLIR‘s AI team
- Led object detection R&D based on background subtraction to complement deep learning
- Prototyped and productionized background subtraction and sensor fusion algorithms
- Performance optimization using CUDA and OpenMP for real-time on-device inference
Machine Learning Engineer
Accelerated optical flow-based image registration; assisted with architecting development and training infrastructure, tools for software delivery
Financial Officer & Tech Officer
Tau Beta Pi is a national engineering honor society. On the UCSB campus, Tau Beta Pi organizes professorial and industry talks, tutoring services for students, and opportunities for professional networking.
Archlab Research Assistant
- Supervisor: Prof. Timothy Sherwood
- Developed pseudorandom number generators (PRNG) for practical and cryptographic purposes. Contributed the PRNG module for the PyRTL library
- Simulated a polynomial arithmetic unit to accelerate DNN inference on encrypted data using homomorphic encryption.
- Proposed a novel trusted hardware environment for ML workloads based on multi-party computation (MPC). Published and presented a second-author paper in SEED 2022
Alexis Yang education
Master Of Science In Engineering - Mse, Computer Science (Cis)
Bachelor Of Science - Bs, Computer Engineering
Education record
Frequently asked questions about Alexis Yang
Quick answers generated from the profile data available on this page.
What company does Alexis Yang work for?
Alexis Yang works for Meta.
What is Alexis Yang's role at Meta?
Alexis Yang is listed as MLE @ Meta | MSE in CIS @ UPenn at Meta.
What is Alexis Yang's email address?
AeroLeads has found 1 work email signal at @flir.com for Alexis Yang at Meta.
Where is Alexis Yang based?
Alexis Yang is based in San Francisco Bay Area, United States, United States while working with Meta.
What companies has Alexis Yang worked for?
Alexis Yang has worked for Meta, University Of Pennsylvania, Muncaster Consulting, Llc, Tau Beta Pi - Ca Sigma Chapter, and Uc Santa Barbara.
How can I contact Alexis Yang?
You can use AeroLeads to view verified contact signals for Alexis Yang at Meta, including work email, phone, and LinkedIn data when available.
What schools did Alexis Yang attend?
Alexis Yang holds Master Of Science In Engineering - Mse, Computer Science (Cis) from University Of Pennsylvania.
What skills is Alexis Yang known for?
Alexis Yang is listed with skills including C++, Python, Verilog, Opencv, Machine Learning, Research, Microcontrollers, and Computer Vision.
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