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Engineering Manager
Crescent Enterprises•  March 2020 - Present
Manage in-house and offshore software engineers, tech leads, and developers. Identify problem areas by monitoring systems, conducting assessments and reviews of system integrity, performance and compliance with security standards. Develop software, IoT & other technology solutions for the tech startups at Hatch & Boost Responsibilities: - Manage Cross Functional Teams and be responsible for the entire solution delivery. - Plan and strategize from identifying the business process needs and conceptualizing to fulfilling their business goals - Build and Architect scalable Web, Mobile, APIs and Micro services - Managing Cloud Infrastructure on AWS - Advising all Project Teams on all Development, Software Architecture & Devops - Recruiting & Mentoring developers to build a strong tech team Projects - WoF: World of Farming aims to provide fodder-tech solutions for rising food security challenges and a rapidly changing climate by offering highly nutritious, hydroponically grown local animal feed solutions. - HasanaH: A non-profit digital platform that makes donating to important causes easier and impactful by pooling donor funds towards a wide range of credible projects around the world. - BreakBread: An AirBnB like platform for dining that hosts live culinary experiences by home or professional chefs who have an exceptional talent in the region. Used Skills / Technologies: - Microservices, Serverless Architecture, IoT Sensors Integration - Data Modeling, Data Structures, Predictive Modeling, - Machine Learning, Regression, Classification, Clustering, Data Analytics, Tableau - GIT, Ruby, Python, Ruby on Rails, NodeJS, ReactJs, NextJs, VueJS, NuxtJS, MySQL, PostgreSQL, DynamoDB - JIRA, Confluence, Asana, Slack, GitLab, GitHub, BitBucket, CI/CD, AWS, Heorku
Education
University of Arizona
Data Science, MS•  January 2022 - Present
Python, Tableau, BD processing using Spark Machine Learning - Regression, Classification and Clustering Deploy ML Models, Supervised & Unsupervised ML Models, Predictive Analytics & Statistics
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