Resume

Experience

Researcher, Luddy Artificial Intelligence Center - Indiana University
  • Pioneered research on a social robot for older adults based on Ikigai, in collaboration with Toyota Research Institute, from ideation through comprehensive user studies and deployment. This involved designing and developing a Python-based backend framework and integrating it with the Robot Operating System (ROS) to facilitate real-time communication and coordination between conversational AI and robotic functionalities.
  • Spearheaded implementing and fine-tuning large language models (LLMs) for natural language understanding, significantly enhancing the robot's ability to engage in context-aware conversations and improve user experience.
  • Architected robust data flow systems and backend infrastructures, incorporating best practices in data security and system scalability to support the continuous evolution of autonomous robotic functionalities.
  • Performed system evaluation phases by designing and executing user interviews and surveys, conducting both qualitative and quantitative data analysis to measure user satisfaction and interaction quality, resulting in actionable insights for iterative enhancement of the conversational AI system.
Data Science, FourKites Inc.
  • Led the development of a generative AI product from concept to release, closely collaborating with business stakeholders to align product features with industry challenges. This resulted in over 380 active users from 40 different accounts.
  • Developed and maintained robust Application Programming Interfaces (APIs) that facilitated seamless data interchange and integration across the product and reduced customer inquiries by 30% by improving application performance and scalability.
  • Collaborated in a cross-functional Agile team environment, playing a key role in the rapid iteration of development cycles and the continuous enhancement of product features. This initiative reduced development time by over 90% and positioned the product for a $10M+ monetization opportunity, showcasing the effective application of AI for process improvement and operational efficiency in current accounts.
  • Contributed towards building QA strategy utilizing AI solutions and algorithms that focused on identifying outliers or anomalous responses, achieving a 74% reduction in negative sampling feedback. This initiative expedited iteration cycles but also significantly enhanced feature quality, adhering to best practices and scalability standards
Software Engineer intern - Consolidated Constrcuction Consortium Limited (CCCL)
  • Revitalized CCCL's legacy ERP system by leading a comprehensive re-engineering initiative, translating complex business processes from Visual Basic into requirements for a modern SAP ERP solution, enhancing operational efficiency.
  • Spearheaded the analysis and documentation of over 100 database tables, meticulously crafting a new Database Schema in SQL to align with the advanced data management needs of the SAP ERP system.
  • Collaborated cross-functionally to capture and codify detailed ERP requirements, laying the foundation for a seamless transition to the SAP platform and facilitating future scalability for the company's growing construction operations.
Frontend Developer Intern - Amtex Systems
  • Developed and implemented a user-centric front-end interface for the iMahila digital empowerment platform, focusing on a responsive progress tracking page to visually represent course completions and skill advancements for self-help women's groups.
  • Translated UX designs into functional web components using HTML5, CSS, Bootstrap framework, JavaScript, and its packages such as ReactJS and jQuery, ensuring cross-browser compatibility and adherence to the latest web standards for a seamless user experience.
  • Integrated interactive data visualization tools such as D3.js to create intuitive, dynamic charts and graphs that enable users to monitor their financial literacy progress and set achievable goals for independence.
Technical Training Program - Swinburne University, Melbourne, Australia
  • Collaborated in a team-based research initiative at Swinburne University focused on Smart City technologies, gaining in-depth knowledge of IoT devices and their applications in urban environments.
  • Led the design and execution of comprehensive surveys and user studies to gauge public opinion and preferences for Smart City initiatives. This culminated in a detailed analysis report that guided the development of technology solutions tailored to community needs.
  • Investigated and documented key issues in urban management, focusing on waste management, providing a foundation for ideating innovative tech-based solutions for municipalities.
  • Conceptualized the development of 'iBin,' an IoT-driven device that aims to revolutionize waste management and automation and enhance efficiency and sustainability in urban sanitation services.
  • Conducted a comparative study on the viability and adaptation of Smart City technologies like 'iBin' within the Indian context, accounting for unique local challenges, resulting in a tailored approach for potential implementation in developing smart urban infrastructures.

skills

Certificates: Design and Analysis of Algorithms–NPTEL; Machine Learning–Coursera; Hack for DefenseProgramming Languages: Python, SQL, PostgreSQL, NoSQL, C++, Scala, shell scripting, Javascript, HTML/CSSTechnologies/Frameworks/Packages: Git, Linux, Notebooks (Jupyter, Colab), cloud-based machine learning tools(AWS Sagemaker, Databricks), Keras, Tensorflow, PyTorch, sci-kit learn, Docker, Jenkins, Selenium, Statistical tools (R, SAS, MATLAB), Big Data -Spark/PySpark, Hadoop, data warehouses (Redshift/Snowflake), cloud infrastructure (Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP)), Dataflow, BigQuery, Large Language Models (LLMs), Design Thinking

Education

Masters Computer Science, Indiana University - Luddy School of Informatics Computing and Engineering - Bloomington, Indiana
Related Courses: Elements of Artificial Intelligence Deep Learning Systems Data Structure Algorithms Machine Learning Topics in Data Science- Data Visualization (Tableau), Hadoop, Apache Spark and Pyspark, Data mining Databases Computational Linguistics Natural Language Processing Computer Networks Hack for Defense - Sponsored by the Department of Defense
Bachelors in Technology, Information Technology - Anna University
Related Coursework: Python Programming Data Structures Algorithms and Design Statistics and Probability Linear Algebra and Calculus Relational Databases Artificial Intelligence Machine Learning System Design Web Development Embedded Systems Computer Networks Design Thinking Communications and Writing

Manasi Swaminathan

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