Mark C.

Mark C.

Research Engineer @ TikTok

About

Former CMUer, THUer. Currently working on Large Language Models and multimodal foundation models. Continuosly to be amazed by ChatGPT and trying to figure out how it was made Interested in various topics including investment and quant

Country

United States

City

San Jose

Industry

Information Technology & Services

Skill

Search, Generative AI, Natural Language Generation, multimodal, ChatGPT, deepspeed, megatron, Natural Language Processing (NLP), Large Language Models (LLM), Distributed Machine Learning, GPT, Python (Programming Language), C++, Python, Computer Vision, Machine Learning, Computer Science, Algorithms, C, Matlab

Experience

TikTok

Research Engineer

TikTok

LinkedIn
2022 - Present · 4 yrs

Since 2024.09 I'm in charge of the Tiktok AI Search, which serves hundreds of millions of American users everyday. We aim to use LLM techniques to improve the experience of users. I worked on everything related to AI Search. ---- I work on LLM foundation models and code generation models. I have been working on pretraining, finetuning and evaluation of the models. Our product --- Doubao, has more than 30 million MAU right now. Our code generation model is on par with the SOTA opensource code models.

TuSimple

Research Engineer

TuSimple

LinkedIn
2020 - 2022 · 2 yrs

CA, United States / Beijing, China

Fusion: Design and implement multi-sensor fusion models, algorithms, and pipelines. Using techniques like DeepLearning, XGboost, Graph Neural Network and etc via ML frameworks such as MXnet and Pytorch. Deploy algorithms and models onto our trucks using c++ with GPU support. Tracking Design and implement multi-frame multi-object tracking models,algorithms and pipelines. Using techniques like DeepLearning, XGboost, GCN, RNN and kalman filters Machine Learning Platform/Pipeline: Developed the first auto sampling, auto training, and auto benchmarking platform for perception modules—processing Terabytes of road test datasets daily and updating our models when deemed necessary by the algorithm.

Amazon

Software Development Engineer

Amazon

LinkedIn
2019 - 2019

Palo Alto, California, United States

1. Designed and built a git-style data management system that provides data versioning and can be used both in the command line and raw python project. 2. Used recursive hashing to compare folder difference and enabled the system to track terabytes size datasets. 3. Made a central data sharing system that can push and pull(download) datasets using a single command. Greatly reduce the time needed for sharing datasets (instantly for pull). 4.Reduced 20~30% of disk usage on EFS by providing symlinks/refinks to users and save $12~20K per month for the team potentially. 5. Help to build one of Amazon Search's first Bert based relevance model

Education

Carnegie Mellon University

Carnegie Mellon University

LinkedIn

Computer Science

Master of Science in Computer Science (MSCS) student Honored to study with some of the best minds in the world

The University of Texas at Austin

The University of Texas at Austin

LinkedIn

Computer Science

Tsinghua University

Tsinghua University

LinkedIn

Software Engineering

Honor Student Scholarship for Top 10, 2015 & 2016; Minor in Business and Management, GPA 91/100 Rank 1/256 in Principles of Economics course;

Wuhan Foreign Languages School

Wuhan Foreign Languages School

LinkedIn

Mark C.'s Contact Information

Email

******@***.com

Phone

(**) *** ****

Find the Right Leads
Find Verified Contact Data

Try with: Jensen Huang @ nvidia.com Click to autofill
LeadContact awards, five-star ratings, and GDPR compliance badges

What LeadContact does well

Find verified emails, phone numbers, and decision-makers with 98% accuracy.

Find Leads

Find Leads

Find the right people by company, role, industry, location, and more.

925M+ professional profiles

Find Leads
Find Emails

Find Emails

Access verified email addresses for your target contacts.

657M+ emails

Find Emails
Find Phone Numbers

Find Phone Numbers

Get cross-validated phone data from multiple top sources.

239M+ phone numbers

Find Phone Numbers

More Accurate. Lower Cost.

Find contact data in 1 tool with 98% accuracy

LeadContact integrates leading enrichment tools to deliver more accurate contact data—without paying for each one.

LeadContact Logo
Competitor Tools

All these = $289 per month

Great conversations start with the right contact.

It’s time to find yours.