AI Researcher & Developer

Yeabsira
Tesfaye

I'm Yeabsira — CS student at Beijing Institute of Technology, studying the brain and deep learning together. I work on continual learning and personalization, with a belief that real intelligence adapts and grows with its context rather than being frozen at training time. Currently building a continual personalization framework for LLMs, growing toward reinforcement learning and biologically plausible adaptation.

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Education

BSc. Computer Science and Technology

Beijing Institute of Technology · Beijing, China

Beijing Municipal Government Scholarship (2024 – Present).
Relevant coursework: Introduction to Artificial Intelligence, Brain Science & Brain-Inspired Intelligence.

Summer School for Generative AI

Tsinghua University · Beijing, China

Lectures: Jie Tang — The Road to AGI; Zhiyuan Liu — LLM Agents; Yuxiao Dong — LLMs and Multimodal Models; Wenguang Chen — Distributed Systems for Large Models.

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Research

Independent Research

Beijing Institute of Technology

Advised by Prof. Song Dawei and Prof. Song Dandan, School of Computer Science and Technology, BIT.

  • Lead author on a continual personalization framework for large language models.
  • Ongoing investigation on personalized safety guardrails in LLMs — how a continual adaptation system can shape user-specific protective boundaries.

Research Intern

Synheart AI

  • Co-authored the Human State Interface (HSI) framework defining Human State Vectors — time-scoped, multidimensional representations of physiological, cognitive, and behavioral state — and a canonical interface for exchanging such state across AI systems.
  • Built emotion and stress inference pipelines over WESAD, UBFC, MMASH, and DREAMER; implemented HRV-based feature extraction and contributed to affective model training and evaluation.
  • Contributed to syni-cli, Synheart's open-source Python SDK and CLI for persona-driven, schema-validated LLM interactions with safety constraints and token-budget tracking.
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Industry Experience

Software Engineer & Co-founder

Gofere Travels · MMCY Tech · Chiropedic

  • 3+ years in web development and software engineering across international companies.
  • Co-founded and led a travel-booking and software company — managed operations, development, and team.

Notable Open-Source Contributions

Tencent Cloud · Anthropic

  • Youtu-Agent (Tencent Cloud ADP) — Exposed the hidden Memory layer to agents, enabling extended tool capabilities.
  • claude-code-security-review (Anthropic) — Fixed an infinite-recursion temp-cleanup bug and added PowerShell-safe tool-call translation.
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Publications

Preprint

How you say it matters: Personalizing LLM responses via dual time-scale closed-loop adaptation

Tesfaye, Y. M.

A dual time-scale closed-loop adaptation framework for personalizing large language model responses, addressing both short-term contextual and long-term preference adaptation.

Paper

Human State Interface Infrastructure

Tesfaye Yeabsira Mersha & Synheart AI Team

Introduces the SynHeart HSI framework for computing Human State Vectors (HSV) — time-scoped, multidimensional representations of physiological, cognitive, and behavioral states — and defines a canonical interface for exchanging human-state information across AI systems.

Poster

AM-SDS Nexus 7 — Autonomous Martian Seed Deployment System

Hachelaf, M. Z., Lin, K., Yeo, J. W. J., Su, Q. H., Santosa, C. J., Li, Z., Tesfaye, Y. M., Xiao, H., Louwren, A. R., & Huang, T. K.

Autonomous system design for Martian seed deployment.

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Skills

Languages
PythonTypeScriptC++
AI / ML
PyTorchscikit-learn Hugging Facedata processingaffective-computing pipelines (HRV, EDA, multimodal fusion)
Research Interests
Continual LearningMeta-learningPersonalizationNeuroAI
Spoken Languages
English (C1 / CEFR)Mandarin Chinese (intermediate)
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Honors & Awards

Innovation & Entrepreneurship Talent Award

双创英才奖 · Beijing Institute of Technology

Third Prize — Qingju AI Competition

青橘AI "人工智能+" 专项赛

Beijing Municipal Government Scholarship

Beijing Institute of Technology

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Get in Touch

Open to AI/ML research internships, collaborations, and project discussions. Reach me at email.