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Engineer Information Technology

Location:
San Jose, CA
Posted:
October 30, 2022

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Resume:

Qiudan, WANG

Github: https://github.com/qiudanWang/, Add: 4 N 2ND ST SAN JOSE, CA, 95113 +1-408-***-**** ads9k9@r.postjobfree.com https://www.linkedin.com/in/qiudan wang a948a299/ EDUCATION

Northeastern University, SanJose, CA Expected May 2024 Khoury College of Computer Sciences

Master of Science, Major: Computer Science General East China Normal University, Shanghai, China May 2017 Master of Engineering, Major: Software Engineering East China Normal University, Shanghai, China July 2014 Bachelor of Engineering, Major: Software Engineering TECHNICAL SKILLS

Skilled at Python, C++, Java, SQL, Django, MapReduce, TensorFlow, Pytorch, Clouding Computing

Good at implementing algorithms including data mining, recommendation, and NLP WORK EXPERIENCES

MagicFox (Shanghai) information Technology Co., Ltd. Shanghai, China March 2022 - September 2022 Senior Algorithm Engineer

In charge of the Natural Language Query (NLQ) system

Developed a natural language interface, which enables users to easy access database data, without the need to learn a complex programming query language.

Achievement: Increased query accurancy by 34.8%. In charge of the Recommendation Strategies of Search Engine

Proposed a new effective log-based approach to relevant term extraction and term suggestion. Using this approach, the relevant terms suggested for a user query are those that conccur in similar query sessions from search engine logs, rather than in the retrieved documents.

Achievement: Decreased the number of user active input 10%. Alipay+ (Shanghai) information Technology Co., Ltd. Shanghai, China December 2019 - April 2020 Senior Algorithm Engineer

In charge of the Resource Integration

Unified Alipay's internal resources, broke the data isolation between various business lines, facilitated positioning of user bad cases and better enabled subsequent algorithm iterations by obtaining the larger and preciser data for training and predicting.

In charge of the Causal Inference Strategies

Applied causal inference algorithms to analyze the possibilities of users' large borrowings or large redemptions under different factors, recommended related financial products to users based on the calculated needs of the algorithm. Baidu Online Network Technology (Beijing) Co.,Ltd. Beijing, China June 2017 - December 2019 Senior Algorithm Engineer

In charge of the Global Ranking System

Recommended the best push to users through rule-based recommendation and deep neutral networks such as interest point matching, and hot news matching;

Applied reinforce learning and selected DQN model to automatically find the matching relationship between the CTR and the duration to achieve personalized combination ranking score of the system;

Achievement: Increased the daily average CTR by 1% every quarter and daily average browsing time spent on Baidu App by 0.5% every quarter.

In charge of the Recall System

Adopted Bert model to analyze the user's continuous click on one push, found out the user's preference, and recommended multiple news for the user at once instead of following the traditional one-by-one news recommendation method, making the recommendations more integrated with the user's browsing habits.

Achievement: Increased the daily average CTR by 3% in one quarter. Senior Backend Engineer

In charge of the Elastic IP (EIP) project

Developed the virtual private network EIP and BCNAT (Baidu Cloud NAT) Server, enabling EIP to realize the natural tenant isolation and shortening the routing distance since the virtual network directly routes EIPs to virtual machines, which reduced a router to map the connection between EIPs and floating IP addresses;

Provided users with advanced network bandwidth and routing services, such as the function of routing monitor, hacker- attack detection, shared bandwidth, and connection to a tenant’s outsider data centers, etc.. In charge of the Baidu Load Balance (BLB) project

Developed the application-based BLB and BGW (Baidu Gateway) Server, enabling BLB to support layer 7th load balancing, which included flexible port mapping, diverse load balancing strategies, and traffic forwarding through domain names and URLs.

INTERNSHIP EXPERIENCES

Intel Shanghai Asia Pacific R&D Center Shanghai, China December 2012 - July 2013 Intern at SSG Department

Developed Intel Hadoop Components Health Detection Module, and realized the internationalization of excellent IDH

(Intel Distributed Hadoop) Manager.

CONFERENCE PAPERS

Wang, Q. (2021). Manipulating Image Style Transformation via Latent-Space SVM. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 1915-1923)

Yezheng, L., Fei, D., Yuanchun, J., Xiao, L., & Qiudan, W. (2016, June). A novel APPs recommendation algorithm based on APPs popularity and user behaviors. In 2016 IEEE First International Conference on Data Science in Cyberspace (DSC) (pp. 584-589). IEEE

Wang, Q., Liu, X., Zhang, S., Jiang, Y., Du, F., Yue, Y., & Liang, Y. (2015, November). A novel APP recommendation method based on SVD and social influence. In International Conference on Algorithms and Architectures for Parallel Processing (pp. 269-281). Springer, Cham

Wang, Q., Liu, X., Zhao, Z., & Wang, F. (2014, October). Temporal Verification for Scientific Cloud Workflows: State-of-the-Art and Research Challenges. In International Workshop on Process-Aware Systems (pp. 59-74). Springer, Berlin, Heidelberg

SCHOLARSHIPS & WINNING COMPETITIONS

Outstanding Volunteer Award, by Teaching Volunteer Association in Hubei 2021

Outstanding Graduate Award, by East China Normal University 2017

China National Scholarship( 3%), by Ministry of Education of the People's Republic of China 2015

2nd Prize, National University Cloud Computing Application Innovation Competition 2015

Creativity Award Winner, Innovation Space sponsored by Tencent Shanghai 2014

1st Prize, Software Challenge Cup, by East China Normal University 2013

Third-class Scholarship, by East China Normal University 2012



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