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条件に合うものが見つかりませんでした。
4〜6年
6〜10年
10〜15年
15年以上
India
Product Development Lead @CellPoint Digital2019 ~ 現在
・
Architect, Interior designer, Technical Engineer
1年以内
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
フルタイム / リモートワークに興味あり
15年以上
Rajiv Gandhi Prodyogiki Vishwavidyalaya
・
Master of computer application
Technical Leader @NDS Cisco Video Technology India Pvt Ltd2007 ~ 2014
・
Senior Technical Lead, Principle Software Engineer, Architect
1年以上
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
フルタイム / リモートワークに興味あり
15年以上
Calicut University
・
MCA最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
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UI designer -UX
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.
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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