CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
就职中
全职 / 对远端工作有兴趣
4 到 6 年
Data/ML Engineer @凱基證券2018 ~ 现在
・
Data Scientist, Data Analyst, Machine Learning Engineer
一個月內
線上/線下客戶數據資料交換，透過淨推薦問卷機制追蹤用戶體驗 四、Cloud Services: 1.透過GCP Gemini AI協助會議摘要 2.使用Vertex AI Search 建立組內KM chatbot (POC) 3.配合廠商進行微軟OpenAI智能平台使用情境驗證(POC) 五、Side Project: 1.LangChain框架之LLM應用: PDF-Chat、Search-Chat Data Engineer • 亞太
就职中
全职 / 对远端工作有兴趣
6 到 10 年
國立台北科技大學研究所
・
資訊管理
資深工程師 @GOGOX 2021 ~ 现在
・
半年內
Process streams of events by using Kafka. Investigate and implement the main flow of logistics platforms(place order, complete order and checkout, etc.). Continuously improve code quality by writing test(Rspec), refactoring, etc. Collaborate with third party(by APIs) The eslite spectrum Corporation, MayMarch 2021 Senior Engineer Implement search engine by using AWS CloudSearch. Manage message queue by using Amazon Simple Queue Service (SQS). Collaborate with the peers to design database structure. Document and implement the main flow of Electronic Commerce(place order, checkout, and return, etc.). Continuously improve code quality
就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
6 到 10 年
淡江大學
・
資訊管理
Data Engineer @TSMC 台積電2022 ~ 现在
・
資料分析師、演算法工程師、軟體工程師、軟體專案管理
一個月內
Side Project I contributed to a side project where we developed an elementary school science debate robot using advanced language models and techniques.This robot simulates opposing viewpoints and provides users with adjustment suggestions at the end of the debate. We delved into technologies like RAG and Vector Search. And prompt engineering,utilizing PPO and PEFT for model fine-tuning. Engineer Intern, Jul– Sep. 2018, Yahoo! Developed Auto-labeling and ranking base on word-embedding for 6M items in Yahoo! shopping mall. IOT Software Developer Intern,–, Portwell, Inc. Built IoT farm demo server
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立中央大學 National Central University
・
網路學習科技研究所待业中
全职 / 对远端工作有兴趣
4 到 6 年
Institut national des langues et civilisations orientales
・
Natural Language Processing
曾任
Principal Software Engineer @Optoma2022 ~ 2023
・
Senior Software Engineer
兩個月內
Bryan Lin A frontend lead that is responsible for feature delivery at a fast pace and with high quality, includes good system design, test automation, vulnerability mitigation...etc. - Good team player - Introduce DevSecOps culture - Self-motivated, self-managed, and self-learner Taipei, Taiwan https://github.com/bryan0919lin/repo-search Work Experience Senior Software Engineer • Optoma DecemberJuneResponsible for product CreativeBoard feature development. It's a product for collaboration with canvas so that all users can draw shapes or texts to lead a meeting that is collaborative. - Product link: https:/
待业中
・
目前会考虑了解新的机会
全职 / 我只想远端工作
15 年以上
Feng-Chia University
・
Computer Science
iOS Engineer @PicCollage2017 ~ 现在
・
iOS Engineer
一年內
Simon Lee iOS Engineer Taipei, [email protected] Work Experience PicCollage , iOS Engineer Nov 2017 ~ Present Collaborated within the sprint team to develop features for the PicCollage iOS app Improved CI/CD pipeline by stream lining the release process Held internal sharing on new technologies like SwiftUI and Combine Taipei City Government , Alternative Military Service Oct 2016 ~ Oct 2017 Built a Line bot to help co-workers automate repetitive work. Developed scripts to improve efficiency Presented a tech talk on SEO and Google Search Console. Solstice , iOS Engineer Jun 2015 ~ Jun 2016 Solstice
就职中
全职 / 对远端工作有兴趣
4 到 6 年
University of Illinois at Urbana-Champaign
・
Computer Science
曾任
Marketing Manager & Project Lead @MNA, The Management of New Arts. 牛耳藝術2022 ~ 2024
・
PM/產品經理/專案管理／行銷營運企劃
一個月內
increase in sales. Facilitated seamless communication across 3 departments, including CRM, sponsorship management, and program planning departments. Managed social platforms and achieved +53.6% engagement on Instagram in a month. Marketing Specialist • The Management of New Arts. JunApril 2022 Started using Google Ads (GDN, Search, YouTube ads), and coordinating with engineers to integrate Google Analytics, transitioned from traditional advertising to digital marketing, and reduced 65% of advertising budget to sell out all tickets in a month. Composed copywriting for social campaigns, encompassing social posts, press releases, and short video scripts. Planned and
待业中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
University of Leeds, United Kingdom
・
Advertising and Marketing
Frontend Engineer @Boastack2021 ~ 现在
・
Web Developer | Wordpress Developer
兩個月內
Trello, Jira. Work Experience WordPress Developer • Boastack, Nigeria JANUARYPRESENT Collaborated closely with design and content teams to craft visually appealing and responsive websites, resulting in a remarkable 25% increase in user engagement. Implemented cutting-edge SEO best practices throughout development, leading to a substantial 20% surge in organic search traffic for client websites. Engineered and meticulously maintained custom themes to enhance website functionality, resulting in a notable 15% uptick in user interaction and bolstered customer retention. Led the development of a robust eCommerce platform on WordPress, resulting in an impressive 35% increase in online sales within
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
Adekunle Ajasin University
・
Computer Science就职中
・
目前没有兴趣寻找新的机会
全职 / 对远端工作有兴趣
6 到 10 年
Brigham Young University
・
Mathematics最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
超過一年
Data Science Research Intern
WirelessInformation Network Laboratory
・
2018 ~ 2018
专业背景
目前状态
求职阶段
专业
数据工程师
产业
工作年资
1 到 2 年
管理经历
技能
语言能力
English
・
专业
Hindi
・
母语或双语
Marathi
・
母语或双语
求职偏好
希望获得的职位
Data Scientist/Machine learning Engineer
预期工作模式
全职
期望的工作地点
USA
远端工作意愿
对远端工作有兴趣
接案服务
学历
学校
Rutgers University
主修科系
Master of Science in Computer Science
Akhilesh Harish Mahajan
I have completed Master's in Data Science from Rutgers University. Apart from developing and deploying software products, I have experience of applying the predictive modeling techniques and statistical methods to real-world data and generate accurate predictions.
Data Scientist/Machine learning Engineer
NJ, USA
[email protected]
Work Experience
Tuutkia - Data Science Intern Sept 2019 ~ Present
Technologies : Python Flask, nltk
- Designed algorithm for detecting profanity and emojis in the description text using traditional Machine learning algorithms.
- Added APIs for handling profanity and emojis if encountered.
Rutgers WINLAB - Data Science Research Intern May 2018 ~ Nov 2018
Technologies : Python, R, Code Composer (Micro-controller programming)
- Designed and conducted experiments with ammonia sensors for data generation.
- Aggregated data from NIH, Winlab and Cornell and cleaned them using pandas.
- Proved that sensors are sensitive to frequency of sensing, temperature and humidity using Pearson's correlation coefficient which reduced electricity consumption in sensors by 90%.
- Developed an application to detect outliers in humidity senors, which filtered 99% of outliers in real-time.
- Developed R Shiny app to aggregate data from various sources and display time series plot of desired sensor ID for analysis.
Fiorano Softwares - Software Engineer Jun 2016 ~ Jun 2017
Technologies : Java7, gwt- Developed features on top of our product which reduced the log file size leading to a direct reduction in database hosting fees.
- Maintained enterprise server, which included refactoring of dashboard and JMS environment based back-end.
Nvidia Graphics - Software Engineer Jun 2015 ~ Dec 2015
Technologies : C++, C, CUDA, Java- Developed a library of CUDA applications to highlight the difference in performance in CPU and GPU, as well as between Maxwell and Kepler architecture.
- Added enhancements to CUDA profiler, which resulted in straight reduction in GPU program analysis time and improved their run-time efficiency.
Education
Rutgers University - M.S in Computer Science May 2019
CGPA - 3.6 / 4
BITS Pilani - B.S in Computer Science August 2016
CGPA - 7.4 / 10
Skills
Languages
- Data Science - Python, R
- Object Oriented - Java, C++
- SQL
- MATLAB
- Web - HTML, Javascript
- C
Libraries
Databases/Data store
- PostgreSQL
- Hive
- HDFS
- Pig
ML models
- Linear regression
- Logistic regression
- kNN
- Decision Trees
- SVM
- Graphical models
ML tools
- Error optimization - Gradient and co-ordinate descent, Penalty and barrier methods
- Feature selection - Mutual Information, PCA, Elastic-net, Chi-square
- Hyper-parameter tuning- Grid and random Search
- Kernel methods - Gaussian, Polynomial, Laplacian
Big Data
- Spark
- MapReduce
- Sqoop
- Flume
- Python Dask
Visualization
- Python - matplotlib, seaborn
- R - ggplot2
- Excel
Projects
Image Colorizer - Python
- Implemented k-Means algorithm to cluster the pixel colors of a colored image during training phase.
- Developed linear and logistic regression models to colorize the gray-scale image provided as input, which gave visual results nearly as good as ones colorized by neural network.
Imputation of Missing values
- Identified outliers and validated normality assumption using ggplot.
- Used feature selection to prevent overfitting.
- Developed Linear and Logistic regression, kNN and decision trees for regression and classification.
- Evaluated the models based on R-squared, identity error and odds ratio.
- Performed grid-search and random-search for hyper-tuning the parameters of kNN and decision trees.
The Art of Seeing - Flask, MySQL
- Moire pattern - Patterns developed by super-position of 2 identical patterns on each other.
- Developed a web-app which integrates a book on Moire pattern, lets the user understand the reason behind Moire effects and implemented a Moire image encryption algorithm.
k-Means in MapReduce
- Constructed an algorithm in Java to iteratively compute the clusters using the mapper and reducer paradigm with the help of job chaining.
Maze-runner - Python
- Constructed and solved mazes using BFS, DFS and A* algorithm.
- Generated harder mazes using the genetic algorithm.
Akhilesh Harish Mahajan
I have completed Master's in Data Science from Rutgers University. Apart from developing and deploying software products, I have experience of applying the predictive modeling techniques and statistical methods to real-world data and generate accurate predictions.
Data Scientist/Machine learning Engineer
NJ, USA
[email protected]
Work Experience
Tuutkia - Data Science Intern Sept 2019 ~ Present
Technologies : Python Flask, nltk
- Designed algorithm for detecting profanity and emojis in the description text using traditional Machine learning algorithms.
- Added APIs for handling profanity and emojis if encountered.
Rutgers WINLAB - Data Science Research Intern May 2018 ~ Nov 2018
Technologies : Python, R, Code Composer (Micro-controller programming)
- Designed and conducted experiments with ammonia sensors for data generation.
- Aggregated data from NIH, Winlab and Cornell and cleaned them using pandas.
- Proved that sensors are sensitive to frequency of sensing, temperature and humidity using Pearson's correlation coefficient which reduced electricity consumption in sensors by 90%.
- Developed an application to detect outliers in humidity senors, which filtered 99% of outliers in real-time.
- Developed R Shiny app to aggregate data from various sources and display time series plot of desired sensor ID for analysis.
Fiorano Softwares - Software Engineer Jun 2016 ~ Jun 2017
Technologies : Java7, gwt- Developed features on top of our product which reduced the log file size leading to a direct reduction in database hosting fees.
- Maintained enterprise server, which included refactoring of dashboard and JMS environment based back-end.
Nvidia Graphics - Software Engineer Jun 2015 ~ Dec 2015
Technologies : C++, C, CUDA, Java- Developed a library of CUDA applications to highlight the difference in performance in CPU and GPU, as well as between Maxwell and Kepler architecture.
- Added enhancements to CUDA profiler, which resulted in straight reduction in GPU program analysis time and improved their run-time efficiency.
Education
Rutgers University - M.S in Computer Science May 2019
CGPA - 3.6 / 4
BITS Pilani - B.S in Computer Science August 2016
CGPA - 7.4 / 10
Skills
Languages
- Data Science - Python, R
- Object Oriented - Java, C++
- SQL
- MATLAB
- Web - HTML, Javascript
- C
Libraries
Databases/Data store
- PostgreSQL
- Hive
- HDFS
- Pig
ML models
- Linear regression
- Logistic regression
- kNN
- Decision Trees
- SVM
- Graphical models
ML tools
- Error optimization - Gradient and co-ordinate descent, Penalty and barrier methods
- Feature selection - Mutual Information, PCA, Elastic-net, Chi-square
- Hyper-parameter tuning- Grid and random Search
- Kernel methods - Gaussian, Polynomial, Laplacian
Big Data
- Spark
- MapReduce
- Sqoop
- Flume
- Python Dask
Visualization
- Python - matplotlib, seaborn
- R - ggplot2
- Excel
Projects
Image Colorizer - Python
- Implemented k-Means algorithm to cluster the pixel colors of a colored image during training phase.
- Developed linear and logistic regression models to colorize the gray-scale image provided as input, which gave visual results nearly as good as ones colorized by neural network.
Imputation of Missing values
- Identified outliers and validated normality assumption using ggplot.
- Used feature selection to prevent overfitting.
- Developed Linear and Logistic regression, kNN and decision trees for regression and classification.
- Evaluated the models based on R-squared, identity error and odds ratio.
- Performed grid-search and random-search for hyper-tuning the parameters of kNN and decision trees.
The Art of Seeing - Flask, MySQL
- Moire pattern - Patterns developed by super-position of 2 identical patterns on each other.
- Developed a web-app which integrates a book on Moire pattern, lets the user understand the reason behind Moire effects and implemented a Moire image encryption algorithm.
k-Means in MapReduce
- Constructed an algorithm in Java to iteratively compute the clusters using the mapper and reducer paradigm with the help of job chaining.
Maze-runner - Python
- Constructed and solved mazes using BFS, DFS and A* algorithm.
- Generated harder mazes using the genetic algorithm.