Ninad Wadode

Experience

• 

  Nissei ASB Company

  Dec 2017 - Jan 2018

  Internship

  Plant training of gaining knowledge and working on 117 machines that make molds and machine equipment and working in the IT department for learning the IT sectors work in mechanical companies and application of IoT in various sectors of the company.

• 

  Larsen & Toubro Infotech Ltd (LTI)

  Jun 2018 - Aug 2018

  Internship

  Training of System, Applications and Product (SAP) systems for Enterprise resource Management as part of re-engineering and provide end to end solutions for financial, logistics, distribution, inventories by working on databases, client calls, basis teams work etc.

• 

  ISTE VESIT

  Jun 2018 - May 2019

  Student Coordinator
• 

  VESIT E-Cell

  Jun 2019 - May 2021

  • Chief Executive Officer

    Jun 2020 - May 2021

  • Chief Operating Officer

    Jun 2019 - May 2020
• 

  Godrej Infotech Ltd

  Jun 2019 - Aug 2019

  Web Development Intern

  Project work of making a secured E mart application that can manage products data, users data and ordering online and managing cart. Backend using Java and Java Servlet and Frontend site using HTML, CSS, JavaScript, jQuery and Ajax

• 

  Mastek

  Aug 2019 - Feb 2020

  Project Lead

  Creating a system to Predict Long term Capacity Planning of Water for Management from DEMAND perspective.

• 

  Quinnox, Inc.

  Dec 2019 - Jan 2020

  Internship

  Training alongside the Innovation R&D team to re-engineer solutions toclients’ problems using latest technology like happiness app development foremployee satisfaction index.

• 

  Capgemini

  Sept 2020 - Mar 2021

  Senior Cloud AWS Intern

  Project work of building an Identity Management System and its integration with applications using Amazon Web Services.

• 

  Quantiphi

  Jul 2021 - Aug 2024

  • Senior Data Engineer

    Apr 2023 - Aug 2024

  • Data Engineer

    Jul 2021 - Apr 2023
• 

  University of Maryland

  Jan 2025 - now

  Research Assistant

  MIRAGE Lab – Advanced Computer Vision & Applied AIAutomated Metrology through machine vision and AI-driven feature recognition. Key contributions include:-Implementing 2D feature recognition using OpenCV-Developing automated feature identification with DeepLSD, ElDet, and ChatGPT-Extending recognition to organic and 3D datasets

• 

  University of Maryland – College of Computer, Mathematical, and Natural Sciences

  Jan 2025 - now

  Teaching Assistant

  DATA 605 - Big Data SystemsThe course provides an overview of data management systems for large-scale data science, covering relational databases and NoSQL systems. It explores different types of data management systems, their trade-offs, best practices for data modeling.