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Schedule Interview NowMy name is Aakanksha S. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, AI Agent Development, Machine Learning Model, Chatbot Development, Deep Learning, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Chatbot using open source model, JIRA Bot Assistant Using LLM, React JS & Material UI-Based App for Movie Discovery, Collaborative Task Management Tool. I am based in Bengaluru, India. I've successfully completed 4 projects while developing at Softaims.
I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.
I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.
My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.
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Google India
I enhanced a system designed to assist professionals with long meetings by helping them remember and follow up on key instructions. The solution processes documents (PDFs, Word docs) and ingests them into models like PrivateGPT and LocalGPT. By generating transcripts of meetings and feeding them into the model, users can ask questions about the content of the documents. This not only saves time but also guarantees 100% document privacy.
I developed a bot assistant that converts natural language into queries, allowing users to extract data from third-party applications like JIRA. The bot streamlines the process of retrieving information by enabling users to interact with the system using simple conversational commands. Process I Followed: - Request: The user inputs a query in natural language. - Response: The bot processes the request and formulates an appropriate query. - Prompt: The bot generates a prompt to be sent to the system. - Final Response: The bot retrieves the necessary data and presents it to the user.
Movie Explorer is a sleek, user-friendly web app designed to let users discover movies and TV shows effortlessly. Built using React JS and Material UI, I developed a responsive interface that allows users to search, filter, and view detailed information about their favorite movies. With smooth transitions and a modern design, the app offers a seamless experience. The project significantly improved user engagement by providing a visually appealing and intuitive platform for movie discovery
TaskFlow is an intuitive project management tool designed to help teams stay organized and productive. I implemented a Kanban board interface for users to manage tasks by setting due dates, adding labels, and creating checklists. Users can easily view their assigned tasks in the "My Tasks" section, while also organizing personal projects. Task comments and activity logs enhance collaboration, making it easier to track progress and communicate within teams. This tool helped improve team workflow and task visibility, boosting overall productivity.
Bachelor of Science (BS) in Computer science