Prashant Garg

Lead Backend & AI/ML Developer at Airstack

Prashant Garg has a diverse work experience in roles related to backend development, AI/ML, and solution architecture. Prashant currently works at Airstack as a Lead Backend & AI/ML Developer. Prior to that, they worked at Sepana as a Backend Lead & Solution Architect. Prashant also has experience in machine learning engineering and software engineering, having worked at India-Israel Innovation HUB and Teza. Prashant has also worked at EY, where they held roles as an Assistant Manager, Senior Data Scientist, and Senior Data Engineer. Prashant's earlier experience includes working at SAP as a Machine Learning Engineer and at Tata Consultancy Services as a Developer. Prashant started their career as an Associate Engineer at Ansaldo STS A Hitachi Group Company.

Prashant Garg completed their Master's Degree in Computer Science with a specialization in Data Science & Artificial Intelligence from University College Dublin in 2017. Prior to that, they obtained a Bachelor's Degree in Computer Science Engineering from Government Engineering College, Bikaner in 2013.

In addition to their formal education, Prashant also holds various certifications. These include "Docker Mastery: with Kubernetes +Swarm" and "Spark and Python for Big Data" from Udemy, "Introduction to Statistics for Data Science" from SAP, "EY Analytics - Data integration" from EY, and several SAP-related certifications such as "SAP Cloud Platform Essentials", "Fiori Black Belt", "BC400_16 ABAP Workbench Foundations", "AGSTF002-SAP HANA Fundamentals", "UADM315 - Workload Analysis AS ABAP", and "USAPTEC-SAP NetWeaver Application Server - Fundamentals". The certifications were obtained between 2017 and 2020.

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Gurugram, India

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Airstack

Airstack is a web3 developer platform that provides fast and easy access to on-chain data across projects and blockchains. The Airstack app utilizes its API to present a feed of recent transactions from several popular web3 projects including OpenSea, POAP, ENS, Uniswap, and more. The feed algorithm can be modified by users, who can also choose thedata sources and view user activity across several dapps. Airstack aims to make web3 data more easily browsable, discoverable, and consumable -- across all projects and blockchains.


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11-50

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