Anisha Gupta
Development
North Carolina, United States
Skills
Machine Learning (ML)
About
Anisha Gupta's skills align with Programmers (Information and Communication Technology). Anisha Gupta appears to be a low-to-mid level candidate, with 4 years of experience.
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Work Experience
Graduate Research Assistant
LLMs
January 2022 - Present
- Advisor: Dr. James Lester, North Carolina State University North Carolina, USA • Adapted Large Language models (LLMs) (GPT, BERT, RoBERTa) to boost R2 score for learning outcomes by 39% and improve goal recognition accuracy by ∼ 6% across 10 classes for game-based learning • Mitigated gender bias by 25% and prior game-playing experience bias by 48% using pre- (Disparate Impact Remover, Reweighing) and post-processing (Equalized Odds, Calibrated Equalized Odds) techniques • Developed softwares for educational technologies using Unity, C# and JavaScript • Deployed machine learning models in production for interactive educational games using Azure
EDM
January 2022 - December 2023
- EAAI (2023), COG (2022), AIIDE (2022-2023), ICMI (2021)
Secondary Reviewer
LAK
January 2022 - December 2022
- IVA (2022), AIED (2022-2023), UMAP (2022-2024), SIGCSE (2024),
GitHub
August 2021 - December 2021
- Developed a Yes/No question-answering model for reversed Twenty Questions, using transformer-based techniques (BERT, RoBERTa) and BoolQ dataset. Achieved 79% accuracy and 78% F1 score on 250 annotated samples
GitHub
January 2021 - May 2021
- Created a tool for automated game map generation, enhancing terrain and biome variability with seasonal change while ensuring all map locations are accessible
Summer Graduate Research Assistant
Institute of Advanced Analytics
May 2020 - July 2020
- North Carolina, USA • Enhanced Jitsi's open-source video conferencing software using React to allow dynamic arrangement of student windows and display name customizations used by 300+ students • Developed a peer feedback system and managed student cohort databases using SQL for data operations
Shooter Game Design
GitHub
August 2019 - December 2019
- Developed a WebGL-based shooter game with advanced graphic components and multiple levels, earning 2nd place in a Computer Graphics course competition for player engagement and design quality Service Primary Reviewer: Computers & Education (2024), COMSYS (2020)
Undergraduate Research Intern
July 2018 - June 2019
- Advisor: Dr. Nibaran Das, Jadavpur University West Bengal, India • Devised a novel Opposition-based Multi-objective Harmony search algorithm that reduced handwritten character recognition processing time by ∼ 43%. Evaluated the algorithm against pre-existing benchmarks across 4 datasets of popular Indic scripts
Summer Research Intern
June 2018 - June 2018
- Advisor: Dr. Pabitra Mitra, Indian Institute of Technology, Kharagpur West Bengal, India • Formulated a novel graph-theoretic framework with an angle-based metric to gauge mitosis in oral epithelium. Observed distinct patterns in at-risk samples, with angle fluctuations between 40-70 degrees compared to consistent decreases in normal samples, indicating its utility for machine learning in pre-cancer detection Projects
Education
North Carolina State University
Ph.D. in Computer Science
August 2019 - Present
