Technology Architect – Data & AI & Co-Founder at PinCarts Private Limited Sep 2016 - Present
PinCarts is technology enabled platform with a vision to provide a seamless shopping experience to its valuable customers throughout their shopping journey using futuristic retail technologies like proximity marketing, personalization, advanced retail analytics, indoor navigation, contact-less checkout, and virtual and augmented reality. PinCarts’ business model for brand retailers and shopping malls is meant to benefit the shoppers and retailers both. This technology helps with comprehensive cloud-based pre-sales and post-sales analytics and facilitates key decision-making.
Core Responsibilities:
- Strategic planning for the company's future growth, including technology and business operations, marketing, and sales strategy development.
- AWS Cloud Infrastructure set-up for various Data, Analytics, AI, Web, and Mobile applications.
- Built an end-to-end Cloud Data Lake and Analytics System with data from varied data sources (structured/unstructured) using various technologies like Cloudera Hadoop Cluster, Apache Spark, Kafka, Impala & StreamSets ETL, SQL & NoSQL MongoDB, and AWS S3.
- Designed an end-to-end analytical Cloud Data Warehouse and BI solution with AWS Redshift Data Warehouse architecture with ETL/ELT services for Data Ingestion pipelines and Data Sharing with Data Analytics Services and Apps for BI and Machine Learning applications.
- Cloud Infrastructure set-up and Deployment of Web & Mobile Apps with AWS EC2, Route 53 DNS, Load Balancer, CloudFront, HTTP Web Server, Apache Tomcat app server, and MySQL.
- Designed and implemented a Content-Based Fashion Recommendation System using Hadoop HDFS, Hive/Impala, Apache Spark, Mahout, Java, Python, and Elasticsearch.
- Business-to-business Sales - On-boarded over 25 retail customers with end-to-end system integration for product inventories to provide digital and in-store navigation of products.
- Proximity marketing platform using various location technologies like IoT, BLE Beacons (Eddystone/iBeacon) and geofencing for tracking customers in real-time.
- Setting up the GPU Deep Learning infrastructure with NVIDIA CUDA Toolkit with Python TensorFlow/Keras on Linux platform for building end-to-end machine learning pipelines.