Building software backbone for checkout free stores

- Creating scalable backend for machine learning applications that support parallel training and inference.- Our team developed robotic system that uses computer vision classification models to inspect mechanical components used in manufacturing industry. Reduced the inspection time by 1/10th- Our team designed and developed the anomaly detection system that runs on our live data acquisition engine.

- Leading AI track for the iLens flagship product- Working on machine learning acceleration on IOT devices- Lead a team of data scientists and engineers in developing work place safety product line (Mask recognition + Thermal screening + Facial recognition) (https://www.youtube.com/watch?v=Y7A5DJZK_Xk) - Helped in achieving 99+ % accuracy for facial recognition for work place safety product line (https://www.youtube.com/watch?v=Y7A5DJZK_Xk) - Lead team in developing AI chat bot… Show more - Leading AI track for the iLens flagship product- Working on machine learning acceleration on IOT devices- Lead a team of data scientists and engineers in developing work place safety product line (Mask recognition + Thermal screening + Facial recognition) (https://www.youtube.com/watch?v=Y7A5DJZK_Xk) - Helped in achieving 99+ % accuracy for facial recognition for work place safety product line (https://www.youtube.com/watch?v=Y7A5DJZK_Xk) - Lead team in developing AI chat bot using the Azure stack for a US hospital chain for insurance payment use case- Built computer vision system for enabling automated QA processes for clients in FMCG sector- Using Azure stack have built chat bots for HR and concierge use case- Consulting fortune 500 companies in Azure Analysis service optimization and data model creation - Part of team responsible for industry standard Data Lake implementation using Azure Stack- Responsible for Data warehouse design using Azure Datawarehouse- Created reports and visualisation using PowerBI- Used Databricks Spark to run transformation on raw data Show less

- Building custom solutions for clients using deep neural networks. Deployed various CNN architectures for classification and detection tasks.- Using cutting edge natural language processing (NLP) techniques in customer support domain.- Built end-to-end scene text recognition using attention based sequence networks - Built facial recognition solution for operation on edge devices- Development of parallel framework for execution of machine learning algorithms on R

- Chat bot: Coded intelligent bot for customers with specific use case using python, natural language processing(NLTK, Spacy) and JS. Worked on over 12+ proof of concepts and 4 production grade projects.- Machine Learning: Applied machine learning for intent classification using an ensemble of algorithms such as Random Forest, One-class SVM, Log Regression etc. - Visualization: Worked on dashboard design using HTML, JS, HighCharts - AWS environment: Worked on proof of concept for… Show more - Chat bot: Coded intelligent bot for customers with specific use case using python, natural language processing(NLTK, Spacy) and JS. Worked on over 12+ proof of concepts and 4 production grade projects.- Machine Learning: Applied machine learning for intent classification using an ensemble of algorithms such as Random Forest, One-class SVM, Log Regression etc. - Visualization: Worked on dashboard design using HTML, JS, HighCharts - AWS environment: Worked on proof of concept for demonstrating use of Lex and Lambda server less environment for bot development over AWS- Data extraction: Data extraction over the web using Python and ML Show less