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Prakhar Saxena

Model Training | Generative AI | Startups

About Me

Hi there! I'm a AI researcher and engineer with roots in Electrical and Electronics Engineering.

As a researcher, my work involves emotion classifiation and LLM alignment.

As an engineer, I help business and people with generative AI (Text, Image and Audio).

Outside my professional life, I find joy in nature and draw inspiration from both Eastern and Western philosophy..

Experience

2023 - 2024
Generative AI Expert
SpiralAI, Tokyo

Led the development and deployment of HighEQ (Conversationalist) LLM, overseeing continued pretraining, supervised fine-tuning (SFT), reinforcement learning (RL), and deployment on Inf2 infrastructure.

2022
Machine Learning Researcher [Internship]
LegalForce, Tokyo

Reseach on data deduplication for LLM training at LegalForce, comparing NCD and Edit Similarity on Wiki40B. Training GPT-2 on cleaned data led to improved perplexity over baseline.

2021-2022
Machine Learning Engineer [Internship]
Insight Tech, Tokyo [Remote]

Built a BERT-based sentiment analysis model using PyTorch and Hugging Face for Insight Tech, a Tokyo-based company that analyzes online reviews. Improved overall F1 score by up to 20% across sentiment classes.

Academic Roles

Publications

"Static and dynamic speaker modeling based on graph neural network for emotion recognition in conversation"
Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2022
"Shaping Personality of Large Language Models: An Approach Based on Representation Engineering"
Association for Natural Language Processing (言語処理学会)、2025
「オーストラリアの世論と社会: デジタル・ヒストリーで紐解く公開集会の歴史」
Contribution: Data processing, NLP analysis, and visualization – Prakhar Saxena
Book publication by Professor Takao Fujikawa, BookLive / Amazon Japan, 2024

Contact

Feel free to reach out.

prakharsaxena11111@gmail.com
Kyoto