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Experience - Arnab Sen Sharma

Arnab Sen Sharma
AI researcher exploring the inner workings of LLMs
- Boston, MA
- Northeastern University
- Google Scholar
- Semantic Scholar
- ORCID
- GitHub
- Bluesky
- X (formerly Twitter)
Experience
Lecturer at Dept. of CSE, Shahjalal University of Science and Technology, Bangladesh
Kindly checkout my faculty profile at SUST.
- Taught courses include,
- Software Engineering and Design Patterns (CSE 331-332)
- Database Management Systems (CSE 333-334)
- Web Technologies (CSE 446)
- Introduction to Programming - Python (CSE 119_)
- Introduction to Computing Applications (CSE 202_)
- Served as a member of Undergrad Final Year Thesis/Project Evaluation Committee, Session 2019‐20, 2020‐21
Research Associate at Natural Language Processing research groups, SUST
- Member of a panel that wrote a project proposal entitled ”A BiLSTM based Deep Learning Approach for Hate Speech Detection in Bangla Text and a Benchmark Dataset for Hate Speech in Bangla” (Project ID; AS/2020/1/26).
- Advising undergrad students who are conducting research in Data Science and Machine Learning related domains.
- Conducted workshops on basic Data‐Science and Machine Learning to train up undergrad students of CSE department, SUST for their final year research work.
Software Engineer at Samsung R&D Institute Bangladesh
- Implemented core features for adapting chromium for Samsung wearables operating on Tizen OS. I specifically focused on multimedia components and V8 JavaScript engine performance.
- Implemented cross-platform file sharing protocols in Samsung Files app, enabling seamless network transfers between Android devices.
- Designed and developed apps for Android smartphones, focusing on sensor data collection and analysis.
- Developed gesture-based authentication and action-binding systems for Android and Tizen wearables.
- Lead developper on a robot similation project that won 3rd place in the Samsung Research ROBOT HACKATHON 2018.
- Developed core object detection capabilities for autonomous robot navigation using YOLOv3, improving navigation accuracy and obstacle avoidance.
- Built and deployed sound pattern recognition system on Android devices using Tensorflow-lite