Shiba AI Members Complete the Technical Alignment Research Accelerator Program (TARA)
Figure 1: A picture of TARA graduates after they presented their technical capstone findings
Technical Foundations for AI Safety in APAC
Shiba AI is pleased to share that several members of our research team have successfully completed the Technical Alignment Research Accelerator Program(TARA) . TARA is a 14-week part-time program that builds technical AI safety skills for talent across the Asia-Pacific region. The rigorous curriculum bridges theoretical safety disciplines, modern system auditing paradigms, and empirical threat modeling to equip engineers with the structural foundations required to mitigate catastrophic global risks from frontier computing systems. As an organization deeply invested in advancing secure machine learning architectures and robust defensive alignment, this cohort’s graduation marks a natural milestone in expanding technical safety capabilities within the Asia-Pacific region.
Core Research & Capstone Execution
Over the final weeks of the accelerator, our members shifted away from theoretical concepts to independently scope, design, and execute highly technical capstone projects. These papers focused heavily on deep-dive empirical testing across three core tracking vectors:
- Evaluation Robustness: Developing rigorous diagnostic benchmarks and validation tools to audit frontier models under extreme distribution shifts.
- Agentic Safety: Auditing structural vulnerabilities, context window drift, and unintended goal-directed behaviors in long-horizon autonomous agents.
- Adversarial Vulnerabilities: Stress-testing modern frontier LLM systems against novel automated exploit pipelines and optimization-based jailbreaks.
This specialized training directly exemplifies the standard of empirical and theoretical work we hold ourselves to at Shiba AI, where our overarching research directive centers on building a mathematically grounded understanding of how advanced AI systems behave, fail, and can be structurally stabilized.
Figure 2: A group picture of TARA graduates celebrating their graduation from the 14-week technical alignment intensive.
Grads & Cohort Recognition
To preserve the absolute highest quality of empirical research and ecosystem collaboration, positions within the TARA cohort are highly competitive. A massive congratulations to our graduating lab members: Alice Saito, Nahush Pethe, Ujwal Kumar, Ridhi Mahajan, Kazuki Kimura Jaisakthi Chandrakumar & Anushka Mandal, who balanced their core institutional commitments to complete this intensive accelerator!
We extend our sincere gratitude to the TARA organizers, technical mentors, and ecosystem partners for their vital support of the APAC alignment community. For more information on this program and its cohort tracks, please visit the Official TARA Website.
To follow our lab's ongoing contributions to international AI safety initiatives or explore our collaborative research tracks, visit Shiba AI Research or get in touch through our Contact Page.