Lambda Ji
高级算法工程师 at 腾讯
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolLambda Ji is a senior algorithm engineer with 10 years’ experience designing and deploying ML models for recommendation and CTR prediction, currently driving algorithm development at Tencent from Shenzhen. He began his career in BI and recommendation roles at VIP.com, progressing from management trainee to recommendation algorithm engineer, and now focuses on deep-learning model design and experimentation. His open-source work includes TensorFlow implementations of DeepFM, AFM, NFM and PNN variants, reflecting practical expertise in feature interactions and production-ready model pipelines. Trained in mechatronics at Central South University, he combines systems-level thinking with hands-on ML engineering and a knack for modeling ambiguous real-world problems—true to his motto, “How to Model Anything.”
10 years of coding experience
机械电子工程, 机械电子工程 at 中南大学
Chinese
Github Skills (8)
machine-learning10
deep-learning10
tensorflow10
python10
modeling9
model-driven-development9
model-driven9
model-building9
Programming languages (2)
Github contributions (5)
lambdaji/tf_repos
Jan 2018 - Dec 2018
TensorFlow Script
Role in this project:
ML Engineer
ML EngineerContributions:26 commits, 1 PR, 33 pushes in 11 months
Contributions summary:Lambda focused on implementing and updating deep learning models within the TensorFlow framework. Their contributions included defining and modifying DeepFM models, likely for click-through rate (CTR) prediction, as evidenced by the code changes and the repository topics. The commits demonstrate the user's work on model structure, loss functions, optimizers, and data input pipelines, indicating a focus on model development and experimentation. The presence of AFM/NFM/PNN models also shows that the user may have experience in implementing a range of models.
dinpythontensorlayercaffe2deep-learning
lambdaji/DarwinAccelerator
Oct 2017 - Mar 2018
Contributions:6 commits, 4 pushes, 1 branch in 5 months
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