CakeResume 找人才
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On
沒有符合的項目。
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
India
Product Development Lead @CellPoint Digital2019 ~ 現在
・
Architect, Interior designer, Technical Engineer
一年內
Chaitenya Yadav Product Development Lead [email protected] || Pune, India A competent professional with approx 15+ years of experience in Software Design & Development with well-known organizations. Experience with application program development including analysis, design, coding, and database development. Ability to research & develop enterprise web applications. Sound knowledge of coding, server deployment, and troubleshooting. Experience with analysis and design of the REST APIs. Ability to handle cross-browser compatibility. A good amount of experience with various integrations. Domain Expertise Payment Processing Payment transactions may seem as simple as a swipe
就職中
全職 / 對遠端工作有興趣
15 年以上
Rajiv Gandhi Prodyogiki Vishwavidyalaya
・
Master of computer application
Technical Leader @NDS Cisco Video Technology India Pvt Ltd2007 ~ 2014
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Senior Technical Lead, Principle Software Engineer, Architect
超過一年
Biju Nair I have over five years of experience as an UI/UX designer. By incorporating data analysis and user interview, I have assisted many businesses in improving the user experience of their products and platforms. [email protected] Technical Lead, IC, Architect Bengaluru, IN Skills Design & Architecture System Architecture, Microservice Architecture, Reactive System Design, Domain-Driven Design (DDD), Cloud Architecture Web Services | Languages Golang, Python, Node.js, Java, C++ | DevOps Docker, Kubernetes, Helm Jenkins CI, Gitlab-CI| Cloud AWS, AWS Lambda | Other Frameworks & Tools Apache Spark, Apache Kafka, Apache
就職中
全職 / 對遠端工作有興趣
15 年以上
Calicut University
・
MCA最輕量、快速的招募方案，數百家企業的選擇
搜尋履歷，主動聯繫求職者，提升招募效率。
- 瀏覽所有搜尋結果
- 每日可無限次數開啟陌生對話
- 搜尋僅開放付費企業檢視的履歷
- 檢視使用者信箱 & 電話
搜尋技巧
1
嘗試搜尋最精準的關鍵字組合
資深 後端 php laravel
2
將須完全符合的字詞放在雙引號中
"社群行銷"
3
在不想搜尋到的字詞前面加上減號，如果想濾掉中文字，需搭配雙引號使用 (-"人資")
UI designer -UX
職場能力評價定義
專業技能
該領域中具備哪些專業能力（例如熟悉 SEO 操作，且會使用相關工具）。
問題解決能力
能洞察、分析問題，並擬定方案有效解決問題。
變通能力
遇到突發事件能冷靜應對，並隨時調整專案、客戶、技術的相對優先序。
溝通能力
有效傳達個人想法，且願意傾聽他人意見並給予反饋。
時間管理能力
了解工作項目的優先順序，有效運用時間，準時完成工作內容。
團隊合作能力
具有向心力與團隊責任感，願意傾聽他人意見並主動溝通協調。
領導力
專注於團隊發展，有效引領團隊採取行動，達成共同目標。
專業背景
目前狀態
求職階段
專業
產業
工作年資
管理經歷
技能
語言能力
求職偏好
希望獲得的職位
預期工作模式
期望的工作地點
遠端工作意願
接案服務
學歷
學校
主修科系
Naveen Benny
Deep Learning & AI Consultant
Summary
- Deep Learning/AI consultant working on Computer Vision and NLP
- Passionate about reading up on the latest research in the field and implementing papers from scratch especially ones on GANs. You can find a few of my implementations on Github (Link Above).
- Highest Rank 88 on a Kaggle competition - Invasive Species Monitoring - Used modern state of the art architectures to develop algorithms to accurately identify whether images of forests and foliage contain invasive 'hydrangea' or not
Skills
Algorithms -
Deep Learning | Computer Vision | NLP | Classification | Image Segmentation | Object Detection | CNNs | RNNs | LSTMs | Generative Adversarial Networks - Progressive growing of GANS | Self Attention GANs | Wasserstien GANs | Conditional GANs | CycleGANs | Autoencoders | Experience with SOTA architectures DenseNet, ResNet, Inception etc. | Machine Learning | Simulation | Decision Trees and Forests | SVM | Regression | Time Series Forecasting | Clustering algorithms | PCA
Languages & Libraries -
Python: For research - PyTorch| For production - Tensorflow | Theano | Numpy | Scikit-learn | OpenCV | Matplotlib | SciPy
Other: Torch | Caffe | Octave | R Programming | SQL | MongoDB
Domains -
Computer Vision: GANs | Classification | Object Detection | Image Segmentation | Pose Estimation
NLP: Multimodal Image captioning | Question Answering | Word Embeddings | Seq2Seq Models | Generative models | Text Summarization
Other: Fraud & Risk | Marketing and Campaign Optimization | Airline Operations
Courses
Convolutional Neural Networks for Visual Recognition
CS231n - Stanford University
Machine Learning by Andrew Ng
Coursera - Stanford University
Experience
Deep Learning Consultant |Self-employed | Jan'17 - Present
Description: Working with clients helping them implement deep learning based solutions.-
Projects:
- Document Segregation - Built a deep learning based document segregation pipeline to classify documents based on their content using a ResNet18
- Subjective Grading - Used AWD LSTMs (Merity et al.) to grade student (grade 5) subjective short answers based on reference answers
- Document Data Extraction - Used Image processing and NLP algorithms to extract required data from unstructured documents
- Predictive Maintenance - Built an LSTM based solution to predict mechanical failures using sensor data
Data Scientist | Freecharge Payment Technologies | Oct'15 - Jan'17
Description: Worked as an individual contributor in the data science team helping build large-scale machine learning systems
Projects:
- Fraud & Risk:
- Built a scalable fraud management system using Machine Learning algorithms to detect fraudsters based on device, account, email, behavior data
- Built a risk engine using random forest and neural nets to score and block users based on behavior and device patterns
- Marketing & Campaigns:
- Helped predict user churn for proactive targeting using reactivation campaigns
- Detect patterns in customer journey and helped devise effective strategies to acquire and retain good quality users
- Segmented users based on their lifetime value that helped design customized campaigns
Decision Scientist | Mu Sigma Business Solutions | Nov'13 - Oct'15
Description: Worked as team lead solving long-term analytics and optimization problems for largest domestic airlines in the U.S. Also responsible for managing client relationships, client workshops and mentoring of juniors.
Projects:
- Forecasting Funds Expiration: Helped client pre-book a revenue of ~$400M on Wall Street by forecasting fund expiration a year in advance using time series models
- Airline On-Time Performance: Built a system that used monte-carlo methods to simulate Airline Network to help improve and predict on-time performance
- Airport Segmentation: Helped segment airports using clustering algorithms based on their operational characteristics to enable effective operational decision/strategy making
- Optimized Fleet Introduction: Helped strategize introduction of newly acquired fleet optimally using decision trees
B.E Mechanical Engineering (Hons) | BITS Pilani Goa Campus | Aug'09 - May'13
- Internship: Titan Industries, Hosur | Jun'12 - Dec'12
CBSE Class XII | St. Antony's Public School, Kottayam | Jun'07 - May'09
Extra-curriculars
- Played for Mu Sigma football team winning numerous tournaments; voted Best player in many tournaments
- Co-founded BITSFC, a club that plays in the Goa football association’s (GFA) Second Division; was Vice-captain and leading goal scorer and played a pivotal role in its qualification from the Third Division in only its second season in the league
- Runner-up in 3000m Middle East CBSE Zonal meet U16 category representing UAE
- Winner of several college and school football and athletic events; captained the team to win around 5 internal football tournaments in college
- Member of the ‘Department of Controls’ for Annual National Cultural Festival; organized various events during the fest; managed Christmas programs, cultural celebrations and sports events in college
Naveen Benny
Deep Learning & AI Consultant
Summary
- Deep Learning/AI consultant working on Computer Vision and NLP
- Passionate about reading up on the latest research in the field and implementing papers from scratch especially ones on GANs. You can find a few of my implementations on Github (Link Above).
- Highest Rank 88 on a Kaggle competition - Invasive Species Monitoring - Used modern state of the art architectures to develop algorithms to accurately identify whether images of forests and foliage contain invasive 'hydrangea' or not
Skills
Algorithms -
Deep Learning | Computer Vision | NLP | Classification | Image Segmentation | Object Detection | CNNs | RNNs | LSTMs | Generative Adversarial Networks - Progressive growing of GANS | Self Attention GANs | Wasserstien GANs | Conditional GANs | CycleGANs | Autoencoders | Experience with SOTA architectures DenseNet, ResNet, Inception etc. | Machine Learning | Simulation | Decision Trees and Forests | SVM | Regression | Time Series Forecasting | Clustering algorithms | PCA
Languages & Libraries -
Python: For research - PyTorch| For production - Tensorflow | Theano | Numpy | Scikit-learn | OpenCV | Matplotlib | SciPy
Other: Torch | Caffe | Octave | R Programming | SQL | MongoDB
Domains -
Computer Vision: GANs | Classification | Object Detection | Image Segmentation | Pose Estimation
NLP: Multimodal Image captioning | Question Answering | Word Embeddings | Seq2Seq Models | Generative models | Text Summarization
Other: Fraud & Risk | Marketing and Campaign Optimization | Airline Operations
Courses
Convolutional Neural Networks for Visual Recognition
CS231n - Stanford University
Machine Learning by Andrew Ng
Coursera - Stanford University
Experience
Deep Learning Consultant |Self-employed | Jan'17 - Present
Description: Working with clients helping them implement deep learning based solutions.-
Projects:
- Document Segregation - Built a deep learning based document segregation pipeline to classify documents based on their content using a ResNet18
- Subjective Grading - Used AWD LSTMs (Merity et al.) to grade student (grade 5) subjective short answers based on reference answers
- Document Data Extraction - Used Image processing and NLP algorithms to extract required data from unstructured documents
- Predictive Maintenance - Built an LSTM based solution to predict mechanical failures using sensor data
Data Scientist | Freecharge Payment Technologies | Oct'15 - Jan'17
Description: Worked as an individual contributor in the data science team helping build large-scale machine learning systems
Projects:
- Fraud & Risk:
- Built a scalable fraud management system using Machine Learning algorithms to detect fraudsters based on device, account, email, behavior data
- Built a risk engine using random forest and neural nets to score and block users based on behavior and device patterns
- Marketing & Campaigns:
- Helped predict user churn for proactive targeting using reactivation campaigns
- Detect patterns in customer journey and helped devise effective strategies to acquire and retain good quality users
- Segmented users based on their lifetime value that helped design customized campaigns
Decision Scientist | Mu Sigma Business Solutions | Nov'13 - Oct'15
Description: Worked as team lead solving long-term analytics and optimization problems for largest domestic airlines in the U.S. Also responsible for managing client relationships, client workshops and mentoring of juniors.
Projects:
- Forecasting Funds Expiration: Helped client pre-book a revenue of ~$400M on Wall Street by forecasting fund expiration a year in advance using time series models
- Airline On-Time Performance: Built a system that used monte-carlo methods to simulate Airline Network to help improve and predict on-time performance
- Airport Segmentation: Helped segment airports using clustering algorithms based on their operational characteristics to enable effective operational decision/strategy making
- Optimized Fleet Introduction: Helped strategize introduction of newly acquired fleet optimally using decision trees
B.E Mechanical Engineering (Hons) | BITS Pilani Goa Campus | Aug'09 - May'13
- Internship: Titan Industries, Hosur | Jun'12 - Dec'12
CBSE Class XII | St. Antony's Public School, Kottayam | Jun'07 - May'09
Extra-curriculars
- Played for Mu Sigma football team winning numerous tournaments; voted Best player in many tournaments
- Co-founded BITSFC, a club that plays in the Goa football association’s (GFA) Second Division; was Vice-captain and leading goal scorer and played a pivotal role in its qualification from the Third Division in only its second season in the league
- Runner-up in 3000m Middle East CBSE Zonal meet U16 category representing UAE
- Winner of several college and school football and athletic events; captained the team to win around 5 internal football tournaments in college
- Member of the ‘Department of Controls’ for Annual National Cultural Festival; organized various events during the fest; managed Christmas programs, cultural celebrations and sports events in college