Niharika Sri Parasa

---

About Me

I am a dedicated researcher and engineer with expertise in developing AI-driven systems to address challenges in cognitive science, language accessibility, and policy modeling. My mission is to contribute to societal progress by leveraging technology and data-driven insights.

---

Technical Expertise

• Programming Languages & Tools: Python, R, PyTorch, KNIME, UiPath, Druid, Tableau, Neo4j, AWS, Nifi, HTML, JavaScript, Docker Containers
• Specializations: Natural Language Processing, Machine Learning, Cognitive Sciences, Data Modeling, Graph Algorithms
• Other Proficiencies: Object-Oriented Programming, Market Research, Business Models, Stakeholder Analysis

---

Professional Experience

AI Resident

AI4Bharat, IIT Madras (December 2023 - Present)

• Implementing iterative pseudo-labeling techniques for building labeled corpora for Indic audio datasets.
• Conducting evaluation of ASR systems to support multiple Indic languages.

Research Fellow

Data Science for Social Good, LMU Munich (August 2023 - September 2023)

• Developed the HydroXplorer application to assist the Munich Fire Department in mapping hydrant accessibility and coverage.

Project Associate

Karnataka Data Lake (September 2022 - July 2023)

• Designed and developed architecture for a Big Data-driven Policy Support System for Open Government Data.
• Co-authored three research papers presented at international conferences such as BASE ‘21, BASE ‘22, and IJCAI ‘23.

RCB Intern

HP R&D (February 2022 - June 2022)

• Developed Terraform modules for infrastructure dependencies.
• Configured and deployed Splunk alerts for 19+ microservices utilizing the Internet Print Protocol.

Software Engineer

Tech Mahindra (August 2016 - August 2019)

• Led a team of 7 to develop Robotic Process Automation (RPA) solutions using UiPath, optimizing workflows and reducing manual efforts.
• Awarded the ‘Pat on the Back’ Award for exceptional contributions to RPA projects.

---

Key Projects

Automatic Riddle Generation for Concept Attainment

GitHub Repository | Publication

• Designed a system to generate conceptual riddles using Natural Language Processing and Deep Learning to enhance learning engagement.

HydroXplorer Application

GitHub Repository

• Built a web application for the Munich Fire Department to identify:
  • Accessible zones using hydrant locations or natural water sources.
  • Elevation differences between fire sites and water sources for logistical planning.

Advaita - Semi-Automatic Subtitle Generator

Website | Demo

• Developed Advaita, a subtitle generator aimed at bridging language barriers and empowering non-English-speaking audiences to access high-quality content.

---

Publications

1. Automatic Riddle Generation for Concept Attainment
   Parasa, N.S., Diwan, C., & Srinivasa, S.
   International Conference on Artificial Intelligence in Education, 2023.
   Read the Paper

2. Big Data Management for Policy Support in Sustainable Development
   Bassin, P., Parasa, N. S., et al.
   International Conference on Big Data Analytics, 2021.

3. Ontology-Augmented Data Lake System for Policy Support
   Kulkarni, A., Parasa, N. S., et al.
   International Conference on Big Data Analytics, 2022.

4. Modeling Policy Interventions for Sustainable Development
   Rachuri, S. N., Parasa, N. S., et al.
   Proceedings of IJCAI’23, 2023.

For more visit Google Scholar

---

Education

• M.S. (Research) in Data Sciences
  International Institute of Information Technology, Bangalore (July 2023)
  • Thesis: Ontology-Driven Policy Modeling for Sustainable Development
• B.Tech. in Civil Engineering
  Velagapudi Siddhartha Ramakrishna Engineering College (May 2016)

---

Contact

Feel free to reach out for collaboration, consultation, or discussions on AI and Machine Learning.

• GitHub: github.com/niharikasriparasa
• LinkedIn: linkedin.com/in/niharikasriparasa
• Website: advaita-research.blogspot.com