# Ni (Jenny) Zhang > Staff Software Engineer at LinkedIn ML infra Location: Santa Clara, California, United States Profile: https://flows.cv/ni ## Work Experience ### Staff Software Engineer @ LinkedIn Jan 2026 – Present ### Senior Software Engineer @ ML infra @ LinkedIn Jan 2021 – Present | Sunnyvale, CA • Spearheaded the development of critical AI/ML infrastructure systems, including GPFS training job caching solution, TurboCache, Virtual FDS for Spark Data Processing enhancing performance and reliability. • Drove initiatives to enable encrypted-zone compliance, DMA compliance and optimize large-scale Ads/Feed ML pipelines, improving user experience. ### Machine Learning Engineer in Computer Vision @ Petuum, Inc. Jan 2019 – Jan 2021 | Sunnyvale, California ### PhD student in computational chemistry/cheminformatics with Curt Breneman @ RPI Jan 2014 – Jan 2018 | Troy, New Yrok • Innovative 3D Deep Convolutional Neural Network Encoder Decoder system design and employed in generation of ligand surface shape and property distribution. • Proficient model building and training skill in Python with Keras built on top of Tensorflow. • Large dataset creation with over 20,000 3D voxelization on point clouds of chemical data and data augmentation with rotation matrix. • Support Vector Machine and Least Square SVM models built for prediction of radiation absorbance data with r-square of over 0.9 and subjective/objective feature elimination and Y-scrambling method for overfitting reduction • Using machine learning techniques such as Random Forest, Support Vector Machine to study Quantitative Structure Activity Relationship(QSAR) of chemicals. • Have done computational biology tasks, such as DNA structure analysis with Hidden Markov Model, DNA motif finding with Gibbs Sampler, DNA consensus sequence finding, phylogenetic trees analysis using R programming language • Molecular docking for protein design using MOE ### Master Of Computer Science with Heng Ji's NLP group @ Rensselaer Polytechnic Institute Jan 2016 – Jan 2018 | Troy, New York • Solid background and knowledge of data structure and algorithms • Distributed Twitter Service Using the Paxos/Wuu-Bernstein Algorithm with c++ and AWS. • Content based candidate recommendation system with TFIDF, LDA, LSI on talent profile json data • Four-pathway Mobile Eye Gaze Estimation with Deep Learning model using Tensorflow. • Twitter Sentiment Analysis with LSTM Recurrent Neural Networks. • First author paper accepted by [EMNLP 2018]. Demonstration [link]. • Build innovative system for multiparty meeting dynamics study assistance with Stanford CoreNLP tools and bipartite graph for opinion extraction and monitoring. • Verbal feature design and calculation for improvement of multimodal meeting processing and prediction and results published in [ICMI2018] • Participated in LoReHLT 2018 for training low resource language data annotator and system improvement. • Pipeline design from audio to text transcription using Speech to Text (IBM tool) to data analysis and understanding of multiparty conversation. ### Summer Intern @ Boehringer Ingelheim Jan 2016 – Jan 2016 | Ridgefieldm • Full development of automated Python tools for confidence measurement and applicability domain assessment of the models using Python and unix shell scripts, with different distance–based methods implemented and tested • A real-life performance of the models was simulated on huge database of endpoints of human Plasma protein binding (hPPB) and volume of distribution (VDss). KNIME workflow was developed for selecting the molecule data set clean-up. ## Education ### Master's degree in Computer Science Rensselaer Polytechnic Institute ### Doctor of Philosophy (Ph.D.) in Chemistry Rensselaer Polytechnic Institute ### Bachelor of Applied Science (BASc) in Chemistry Shandong University ## Contact & Social - LinkedIn: https://linkedin.com/in/ni-jenny-zhang-94085780 --- Source: https://flows.cv/ni JSON Resume: https://flows.cv/ni/resume.json Last updated: 2026-04-12