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Team Lead/Senior Software Engineer @MEXC
2022 ~ Presente
Software Engineer
En un mes
PHP
Python
Docker
Empleado
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
Avatar of EasonHsu.
Avatar of EasonHsu.
Data/ML Engineer @凱基證券
2018 ~ Presente
Data Scientist, Data Analyst, Machine Learning Engineer
En un mes
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
Data Analysis
Data Science
Database
Empleado
A tiempo completo / Interesado en trabajar a distancia
6-10 años
國立台北科技大學研究所
資訊管理
Avatar of Yijun Yo.
Avatar of Yijun Yo.
資深工程師 @GOGOX
2021 ~ Presente
En seis meses
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
Ruby on Rails
Git
PostgreSQL
Empleado
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
淡江大學
資訊管理
Avatar of Wang Chunshan.
Avatar of Wang Chunshan.
Data Engineer @TSMC 台積電
2022 ~ Presente
資料分析師、演算法工程師、軟體工程師、軟體專案管理
En un mes
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
Backend Development
NLP
Python
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立中央大學 National Central University
網路學習科技研究所
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Past
Project Leader @Akatsuki Taiwan Inc
2018 ~ 2021
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
Más de un año
Public Speaking
Leadership
Research
Desempleado
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
Institut national des langues et civilisations orientales
Natural Language Processing
Avatar of Bryan Lin.
Avatar of Bryan Lin.
Past
Principal Software Engineer @Optoma
2022 ~ 2023
Senior Software Engineer
En el plazo de dos meses
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:/
React.js
AWS
Azure
Desempleado
Abierto a oportunidades
A tiempo completo / Sólo a distancia
Más de 15 años
Feng-Chia University
Computer Science
Avatar of Simon Lee.
Avatar of Simon Lee.
iOS Engineer @PicCollage
2017 ~ Presente
iOS Engineer
En un año
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
Swift
iOS
Objective-C
Empleado
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
University of Illinois at Urbana-Champaign
Computer Science
Avatar of 涂家禎.
Avatar of 涂家禎.
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
En un mes
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
IELTS
Google Analytics
Communication
Desempleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
University of Leeds, United Kingdom
Advertising and Marketing
Avatar of Olawale Balogun.
Avatar of Olawale Balogun.
Frontend Engineer @Boastack
2021 ~ Presente
Web Developer | Wordpress Developer
En el plazo de dos meses
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
HTML5
CSS3
Bootstrap
Empleado
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
Adekunle Ajasin University
Computer Science
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Avatar of the user.
Senior Engineer @Innova Solutions
2020 ~ Presente
資深軟體工程師
Más de un año
Node.js / Express.js
RESTful API
GCP
Empleado
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
6-10 años
Brigham Young University
Mathematics

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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
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Más de un año
Data Science Research Intern
WirelessInformation Network Laboratory
2018 ~ 2018
North Arlington, NJ, USA
Professional Background
Situación actual
Progreso en la búsqueda de empleo
Professions
Data Engineer
Fields of Employment
Experiencia laboral
1-2 años
Management
Habilidades
Statistics
Probability
Information Retrieval
Logistic Regression
Linear Regression
data analytics
python
r
sql
modeling and simulation
Idiomas
English
Profesional
Hindi
Nativo o bilingüe
Marathi
Nativo o bilingüe
Job search preferences
Posición
Data Scientist/Machine learning Engineer
Tipo de trabajo
A tiempo completo
Ubicación
USA
A distancia
Interesado en trabajar a distancia
Freelance
Educación
Escuela
Rutgers University
Mayor
Master of Science in Computer Science
Imprimir
Gphzud0a1gjjzscmtrd6

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

  • Python - pandas, numpy, sklearn, multiprocessing, BeautifulSoup, Flask, Keras, request
  • R - tidyverse, Shiny

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.

Resume
Perfil
Gphzud0a1gjjzscmtrd6

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

  • Python - pandas, numpy, sklearn, multiprocessing, BeautifulSoup, Flask, Keras, request
  • R - tidyverse, Shiny

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.