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4-6 years
6-10 years
10-15 years
More than 15 years
Team Lead/Senior Software Engineer @MEXC2022 ~ Present
・
Software Engineer
Within one month
c2 level 4 compiler issue. Software Engineer • Lang Live • 2019/03 ~ 2019/10 ．Deal with 10 million+ big data processing such as super star ranking board on the homepage or user behavior analyzing. ． Experience in system designing with mysql , mongodb , redis , kafka , rabbitmq , cassandra , elastic search Software Engineer • Boya Internet • 2018/11~2019/3 ． Optimized 10+ api for reducing more than 30% response time. Software Engineer Intern • Insto TW • 2018/01 ~ 2018/11 ．As an owner and a full-stack of 2 projects and experience with Laravel , Next.
Employed
Full-time / Interested in working remotely
6-10 years
Data/ML Engineer @凱基證券2018 ~ Present
・
Data Scientist, Data Analyst, Machine Learning Engineer
Within one month
Employed
Full-time / Interested in working remotely
6-10 years
國立台北科技大學研究所
・
資訊管理
資深工程師 @GOGOX 2021 ~ Present
・
Within six months
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
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
淡江大學
・
資訊管理
Data Engineer @TSMC 台積電2022 ~ Present
・
資料分析師、演算法工程師、軟體工程師、軟體專案管理
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立中央大學 National Central University
・
網路學習科技研究所Past
Project Leader @Akatsuki Taiwan Inc2018 ~ 2021
・
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
More than one year
Unemployed
Full-time / Interested in working remotely
4-6 years
Institut national des langues et civilisations orientales
・
Natural Language Processing
Past
Principal Software Engineer @Optoma2022 ~ 2023
・
Senior Software Engineer
Within two months
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:/
Unemployed
・
Open to opportunities
Full-time / Remote Only
More than 15 years
Feng-Chia University
・
Computer Science
iOS Engineer @PicCollage2017 ~ Present
・
iOS Engineer
Within one year
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
Employed
Full-time / Interested in working remotely
4-6 years
University of Illinois at Urbana-Champaign
・
Computer Science
Past
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
Within one month
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
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Leeds, United Kingdom
・
Advertising and Marketing
Frontend Engineer @Boastack2021 ~ Present
・
Web Developer | Wordpress Developer
Within two months
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
Adekunle Ajasin University
・
Computer ScienceSenior Engineer @Innova Solutions2020 ~ Present
・
資深軟體工程師
More than one year
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
Brigham Young University
・
MathematicsThe Most Lightweight and Effective Recruiting Plan
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
More than one year
Data Science Research Intern
WirelessInformation Network Laboratory
・
2018 ~ 2018
Professional Background
Current status
Job Search Progress
Professions
Data Engineer
Fields of Employment
Work experience
1-2 years
Management
Skills
Languages
English
・
Professional
Hindi
・
Native or Bilingual
Marathi
・
Native or Bilingual
Job search preferences
Positions
Data Scientist/Machine learning Engineer
Job types
Full-time
Locations
USA
Remote
Interested in working remotely
Freelance
Educations
School
Rutgers University
Major
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.