GENEKI (Generative ESG Key Information) addresses the laborious task of navigating through multiple sets of documents, often spanning numerous pages, which poses a significant challenge for risk analysts, raters, and validators (LOD1 and LOD2 users). Moreover, the bilingual nature of the information, presented in both English and French, adds complexity, making comprehension difficult for non-native speakers. Furthermore, finding the correct answers within these documents can be time-consuming.To mitigate these challenges, GENEKI has developed a pioneering web application utilizing SoGPT (LLM/GEN AI) as the backend AI model. The application's core functionality lies in its ability to upload documents and search for information using natural language queries, significantly streamlining the information retrieval process.Responsibilities: Collaborated with the team to develop an AI-powered chatbot utilizing SoGPT as the backend AI model. Implemented a user-friendly web application with upload and search functionalities, facilitating natural language queries. Ensured seamless integration of multilingual support, enabling users to interact in their preferred language. Designed and implemented features allowing users to upload documents, pose questions, and receive responses, streamlining the information retrieval process. Designed and implemented contextual adoption features to enhance user interactions. Facilitated continuous learning and improvement through feedback mechanisms integrated into the system. Developed a feature to indicate the source document and page of retrieved information, enabling users to verify responses with confidence. Contributed to the development of conversational abilities within the LLM models, allowing users to engage on diverse topics.

Role : Python DeveloperSkills: Python, Django, MVC, RESTful, HTML5, CSS3, MySQL, Docker, Bitbucket, Agile, Windows.Description:MCQ Genie is a powerful tool that streamlines the process of generating multiple-choice questions (MCQs) from Transcripts. With its advanced web scraping technology, MCQ Genie can automatically extract transcripts from every video in a course, saving you countless hours of tedious work. Once the transcripts are extracted, MCQ Genie calls a Python API to prompt an AI to generate high-quality MCQs, which can be used for self-assessment or as part of a larger learning program. With these generated transcripts, you can create MCQs quickly and easily, freeing up your time to focus on other important tasks.Responsibilities: Developed Flask-based web application for transcript processing. Integrated MySQL database for data storage and retrieval. Created data models and database schemas in MySQL for efficient storage and retrieval of transcripts, generated MCQs, and video-related information. Practiced Agile and Scrum methodologies for project management. Implemented unit tests and mocking techniques. Tracked issues and managed the project using Jira. Collaborated with AI experts to integrate MCQ generation algorithms. Ensured quality control for generated MCQs. Documented codebase and technical processes.

Role : Python DeveloperSkills: Python, Django, MVC, RESTful, HTML5, CSS3, MySQL, Docker, Bitbucket, Agile, Windows.Description: This project deals with the Insurance business for US Customers. The Insurance project basically deals with Health Insurance Business Lines. There are two applications, Agent and Underwriter where the Agent quotes the policy and the underwriter reviews it and in turn, the Agent issues the policy. This application mainly focuses on Insurance for state policy customers and it involved 6 transactions like New Submission, Rewrite, Renewal, Policy Change, Reinstatement, and Cancellation.Responsibilities :► Participated in the requirement gathering and analysis phase in documenting the business requirements by conducting meetings with various business users. ► Implemented Model View Control (MVC) architecture using server-side applications like Django for developing web applications. ► Developed Python-based API (RESTful Web Services) to track the events and perform analysis using Django. ► Worked with Python ORM Libraries including Django ORM and have good knowledge of Project management tools. Used Apache to deploy the production site. ► Contributed to the design and creation of RESTful APIs using Python/Django/Django Rest Framework.► Developed web application using the Python and Django REST framework and deploy the API. ► Developed Business Logic using Python on Django Web Framework. ► Used Django Database APIs to access database objects. ► Worked in an agile development environment. ► Participated in Business meetings to understand the business needs & requirements.

Role : Python DeveloperSkills: Python, Flask, REST API, MVC, Agile, Docker, Bitbucket, Linux, Bamboo, Jira, GIT, unit test.Description: In This application, we use Python Flask which provides a user-friendly interface for monitoring and managing communications networks. The application integrates with APIs provided by network equipment vendors to retrieve data and configure network devices. It also provides real-time network performance metrics and allows for the configuration of network devices and services, such as adding or modifying network configurations, managing user accounts, and also monitoring network security.Responsibilities:-► Participated in all stages of the Software Development Life Cycle Planning.► Worked on Analysis, Design, Implementation, and Testing. ► Involved in developing web-based open-stack applications using Python and Flask for large dataset analysis. ► Developed user interfaces of the application using front-end technologies and used APIs developed using REST API to pull data from the backend, showing it to the user. ► Developed real-time multi-tasking systems using Python. ► Worked with Python for data analysis and visualization purposes to get a better understanding of the data. ► Worked as part of an Agile/Scrum-based development team and was exposed to TDD approach in developing applications. ► Collaborated with internal teams to convert end-user feedback into meaningful and improved solutions.