Solving B2B problems in HRTech, Healthcare, Retail and ITSM in SymphonyAI Incubator (www.symphonyai.com) having 1 billion dollar committed fund.
Artificial Intelligence expert who loves to solve problems of Video intelligence, document intelligence, Chatbots and Blockchain.
Author of the book : Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow
Developed AI solutions using distributed computing and cloud computing (pySpark, SparkML, SparkSQL on Azure)
Expert in ML, DL and NLP tasks
Expert in implementing biLSTM, word-embedding, GAN, FCN and autoencoders using TensorFlow and Keras
Proficient in knowledge graph, Ontology, KG embedding, relations embedding, NER, Document database and graph database
Proficient in Distributed Deep Learning and Machine Learning on local machine, Azure DataBricks, HDInsights
Proficient in Azure Data Factory, data lake, Jenkins, DataBricks, Kubernetes, Dockers and Containers.
Proficient in Azure CosmosDB, MongoDB, DataLake and WebApps
Building the team of top AI researchers
Delivered successful Enterprise AI solutions.
Building a new vertical of AI powered hiring
Built AI solutions for giant Retail and ITSM
Executed Deep Learning and Distributed Deep Learning applications in
1. Cancer Data Research (Oncology Stage Prediction, Curation as a Service)
2. Retail Predictive Analytics and Optimization ( using 1.5 Billion transactions)
3. Semantic search and ranking using phrase embedding for HR tech
4. Telecommunications Analytics (Dynamic Clustering and Classification for automatic ticket generation)
5. ITSM chatbot that raises and solves ticket automatically
6. Speaker Identification and speech to text and elastic search for video intelligence
7. Semantic segmentation to automate the visual search
Recognized as one of top 10 data scientists of India
Published 4 articles on Data Science in different magazines
Available For: Authoring, Consulting, Influencing
Travels From: Bangalore
Points based upon Thinkers360 patent-pending algorithm.