About Me
I build bias-aware, edge-ready speech and language models for under-represented languages. Currently a Ph.D. candidate at the Kitami Institute of Technology , I am developing unified Multimodal, Multilingual, and Multitask (M3) transformers to ensure AI systems serve diverse linguistic identities with demographic fairness and structural equity.
Research Interests
- Multimodal AI
- Natural Language Processing, Representation, and Understanding
Background
| Period | Role / Degree | Institution / Company |
|---|---|---|
| 2025 — | Ph.D. in Multimodal AI | Kitami Institute of Technology |
| 2020 — 2025 | Head of Product Development | RBG.AI |
| 2018 — 2020 | Chief Technology Officer - R&D Product Manager | Arnekt Solutions |
| 2016 — 2017 | Research Scientist Analyst | Accenture Solutions |
| 2015 — 2016 | Assistant System Engineer | TATA Consultancy Services |
| 2013 — 2015 | M.Tech in Computational Engineering and Networking | Amrita Vishwa Vidyapeetham |
| 2009 — 2013 | B.E. in Electronics and Communication Engineering | CSICE, Anna University |
Publications & Achievements
- AURA-ST: Acoustic-Unconstrained Residual Architecture for Speech Translation
- Focus: Introduces a novel residual architecture designed for speech translation that operates without rigid acoustic constraints, improving flexibility and translation robustness.
- KIT-TIP-NLP at MultiPride: Continual Learning with Multilingual Foundation Model
- Focus: Explores continual learning strategies applied to multilingual foundation models, developed for the MultiPride shared task/benchmark.
- RBG-AI: Benefits of Multilingual Language Models for Low-Resource Languages
- Focus: Investigates the impact and performance gains of leveraging large-scale multilingual language models specifically for underrepresented and low-resource languages.
- RBG-AI at FadeIT: Prompted LLMs with Label Abstraction for Logical Fallacy Detection
- Focus: Demonstrates the use of prompt engineering and label abstraction techniques with Large Language Models to identify logical fallacies, submitted to the FadeIT challenge.
Links
Hobbies
- Tech & Design: Exploring edge AI deployment, managing digital domains, and designing custom mechanical hardware.
- Physical Pursuits: Mountaineering and engaging with the outdoors to counterbalance intensive digital research.
- At-Home Projects: Cultivating plants through hydroponics and unwinding through cooking.