Arvind Girish Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

During my time at SignEasy, I contributed to multiple high-impact projects, driving significant improvements in both backend and frontend systems.VPP Refactor: I led the refactoring of the Payment microservice, enhancing its performance to handle smoother transactions and improved concurrency. We transitioned from Stripe to Chargebee, optimizing the entire billing process. I was the point of contact (POC) for integrating the billing module on the frontend, ensuring a seamless user experience.Elasticsearch Migration: I spearheaded the rearchitecting of the frontend document listing module, migrating from a REST API-based system to Elasticsearch. This overhaul allowed for faster, more efficient document retrieval and introduced a reusable table architecture. The table dynamically adjusts its data and elements based on document types while maintaining a consistent UI. Additionally, I implemented lazy loading, enabling the system to load documents in batches of 30, significantly improving performance and scalability.Localization POC: I conducted a successful proof of concept (POC) for localization, laying the groundwork for expanding SignEasy's reach to global markets by supporting multiple languages and regional settings.AI Labs: Transitioning into the AI Labs team, I focused on researching and developing generative AI applications in the contractual space. My key contribution was building the AI panel for SignEasy, a cutting-edge feature that provides contract summaries, key points extraction, and a question/answering system for uploaded PDF contracts. This innovation has significantly enhanced the way users interact with and understand their contracts.

Pune, Maharashtra, India

At Talentica, I contributed to an advanced analytics and trading platform designed to deliver cross-asset utilization analytics solutions for the global securities financing business. The platform's architecture required handling and scaling large volumes of data, leveraging a combination of cutting-edge technologies.Key Responsibilities:Module Development: Collaborated closely with client-side developers to design and implement entire modules, ensuring the seamless integration of complex features within the platform.Code Quality: Focused on maintaining high code quality by continuously refactoring the codebase, optimizing for performance and readability.Data-Intensive Solutions: Integrated AG-Grid and AmCharts into the application to support the development of data-intensive solutions, providing users with powerful tools for data visualization and interaction.Error Logging & Analytics: Set up comprehensive error logging by integrating Sentry.io, alongside basic Google Analytics, to monitor application health and user engagement effectively.POC Development: Played a pivotal role in developing proof-of-concept (POC) solutions using existing npm libraries. This was particularly crucial in the startup environment, where brainstorming and iterative testing were essential to identify the best possible solutions for the platform.The frontend of the platform was powered by a Redux-React interface, with WebSocket technology enabling real-time P2P transactions. Additionally, GraphQL was utilized to selectively fetch necessary data, enhancing both performance and user experience.

Mumbai, Maharashtra, India

During my time at Deloitte, I worked on a range of projects, with a particular focus on developing scalable, robust web solutions for diverse industries.E-Commerce Web Solution: I played a pivotal role in developing a comprehensive white-label e-commerce platform designed to work across all browsers. This solution was built to handle all the functionalities of each module within the application. Leveraging the plug-and-play concept, I developed over 40 custom components that allowed the solution to be adapted to 14 different brands, catering to both B2B and B2C markets. Each brand required selective features, which were efficiently managed using Webpack to isolate styles and functionalities. This modular approach enabled rapid deployment and scaling of the platform across various brands, ensuring consistent performance and a tailored user experience for each client.In-Store Hybrid Application for BMW: Enhanced customer experience in BMW showrooms by developing a kiosk-based application. The app facilitated customer registration and assigned service agents via live communication using WebSocket technology.Node Application for QA Automation: Automated QA processes using Node and Puppeteer, enabling seamless regressive testing by controlling Chrome through the dev tools protocol.Responsive Web Application: Built a responsive web application for content publishing, similar to Medium, allowing users to post articles, comments, and discussions.My key responsibilities across these projects included developing creative UI widgets, building controllers for API handling using Express and Mongoose, and managing authentication through JSON Web Tokens for both frontend and backend.

Tiruchirappalli, Tamil Nadu, India

During my internship at IIM Trichy, I worked closely with a professor to develop an innovative Discounted Cash Flow (DCF) model utilizing artificial intelligence. My primary responsibility was to create a web scraping application designed to automate the extraction of data from Crunchbase.This application streamlined the process of collecting and integrating relevant financial and company information into the DCF model, significantly enhancing the efficiency and accuracy of the model's data input. My work involved designing the scraping logic, handling data processing, and ensuring seamless integration with the existing model. This experience provided me with valuable insights into both AI applications and practical data extraction techniques.

Bachelor Of Engineering - Be, Civil Engineering

Activities and Societies: Civil Engineering Major, Member of Spider (Software Development Club), Founder of Ground Zero (Gaming Club).

Master Of Science - Ms, Machine Learning And Artifical Intelligence, 3.26 / 4

Postgraduate Degree, Machine Learning And Artifical Intelligence, 3.43 / 4