May 2022 – Aug 2022 · 3 mos · Fremont, California, United States · Remote

• Developed a client-side feature using Angular, .Net Core, and Elastic Search for Tesla's ecosystem, enabling efficient management of product and part-type whitelists. The solution eliminated manual whitelist management requests, resulting in a 20% decrease in the total ticket count
• Collaborated with cross-functional teams, including product managers and stakeholders, to gather and document requirements for the self-serve feature
• Revamped database functionality by designing and implementing optimized scripts and stored procedures using SQL to efficiently manage user permissions for accessing critical sections of the application
• Improved Tesla Vehicle UI by identifying and resolving critical bugs in the Installbase application
• Enhanced the performance of batch jobs by implementing concurrent execution of Geocode assignment services

Jun 2018 – Jul 2021 · 3 yrs 1 mo · Mumbai, Maharashtra, India

• Redesigned a spreadsheet-based production planning and forecast tool to a new web application using Angular 9, ASP.Net, SQL Server and deployed it on Azure which increased the ease of accessibility and usability by 90%
• Reengineered the infrastructure to host the front end of the application, achieving a cost savings of $35,000
• Led a team in the development of a real-time interactive chatbot for the Support and Ticket handling Team, leveraging C#, .Net Core, Microsoft Bot Framework, and LUIS.AI, and deployed it on Azure.
• Successfully integrated the chatbot into existing tools, resulting in a 60% reduction in new support tickets.
• Spearheaded the development of a mobile application that enabled over 80 warehouse stakeholders to access specific safety guidelines and product information by scanning the product barcode with a mobile device. Utilized Android Studio, JAVA, and Google Optical Character Recognition (OCR) to develop the application.
• Developed and implemented a predictive model in Azure Machine Learning Workspace utilizing AutoML to accurately forecast order delivery latency and identify delayed orders within the supply chain from client warehouse to customer
• Improved prediction accuracy by 40%, enabling the business to proactively recognize and mitigate potential issues related to delayed orders, forecast delivery timelines and optimize shipping routes to enhance efficiency.
• Implemented the infrastructure and CI/CD pipelines on Azure using Azure DevOps, terraforms and YAML
• Met with customers to gather business requirements and created Software requirement specification (SRS) documents

Jun 2017 – Sep 2017 · 3 mos · Mumbai, Maharashtra, India

• Developed scripts and applications using python which processed data and produced graphical dashboards for various KPIs
• Performed cleaning and preprocessing of data and employed python libraries like numpy, pandas, matplotlib, etc.