GeezerVison is showing github.com — ascender1729 - Overview
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Researching AI safety at LASR Labs, London. Building Attestix at VibeTensor.
Pavan Kumar
ascender1729
💭
Researching AI safety at LASR Labs, London. Building Attestix at VibeTensor.
AI safety researcher (LASR Labs 2026, London). Founder of VibeTensor, author of Attestix (AI agent identity). Evals, AI control, emergent misalignment.
Organizations
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AI safety researcher working on where evaluation and control break down. Currently at LASR Labs (London, Jul to Oct 2026), supervised by Satvik Golechha (UK AI Security Institute), stress-testing inoculation prompting: whether a mitigation that lowers measured emergent misalignment survives a prompt it never saw, and whether the reported number is a property of the model or of the scoring pipeline.
Completed the Iliad alignment-theory intensive at LISA London, where I ran the first empirical test of natural-latent theory on SAE features. Author of DriftNet (under review at The Astronomical Journal). Built an AI control evaluation for ControlArena. 78+ hours evaluating AI tools at METR.
Founder of VibeTensor and author of Attestix, an open-source identity and compliance layer for AI agents. Integrated M.Sc. Mathematics, NIT Patna (8.89/10).
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Research interests: evaluations and AI control, emergent misalignment and training dynamics, mechanistic interpretability (sparse autoencoders, feature universality), natural latents and abstractions, singular learning theory, and growing an AI-safety research node in India.
| Period |
Role |
Where |
Focus |
| Jul - Oct 2026 |
AI Safety Researcher |
LASR Labs (Arcadia Impact), LISA London |
Stress-testing inoculation prompting; measurement validity of emergent-misalignment evals; provenance tooling for pre-registered claims |
| Jun - Jul 2026 |
Participant |
Iliad Research Intensive (Iliad x PIBBSS), LISA London |
Alignment theory; redundancy predicts which SAE features transfer across architectures |
| Mar 2026 |
Participant |
AI Control Hackathon, Apart Research x Redwood Research |
New ControlArena setting: does identity and delegation-chain context help a trusted monitor |
| Mar - Jun 2026 |
Independent Researcher |
BlueDot Impact AI Safety Sprint |
Political content triggers stronger emergent misalignment than insecure code (Qwen 2.5 7B, Llama 3.1 8B) |
| Oct 2025 - Jan 2026 |
Study Participant |
METR |
49 issues over 78+ hours in a 60-participant RCT on AI coding tools; raised data-privacy and design gaps |
| Period |
Role |
Company |
| Apr 2025 - Present |
Founder |
VibeTensor Private Limited (Attestix, VibeMCP, IssueVista, UpdataMind) |
| Jul - Oct 2025 |
Senior Software Engineer |
Insight Labs AI, Sydney (remote) |
| Mar - May 2024 |
Data Scientist Intern |
Arvo (OneArvo Ventures) |
| Project |
What it is |
Stack |
| Attestix |
Identity, delegation and compliance layer for AI agents: 47 MCP tools, W3C VCs and DIDs, UCAN, EU AI Act automation, offline verifier SDKs in JS, Java, Go, Rust and R. PyPI and MCP Registry, Apache 2.0. |
Python, FastMCP, Ed25519 |
| DriftNet |
Where machine learning helps in narrowband technosignature search: a learned readout over the turboSETI de-Doppler statistic recovers 3.4x fainter signals on real GBT data. Zenodo DOI 10.5281/zenodo.21343024. |
PyTorch, NumPy, turboSETI |
| Emergent misalignment (political) |
QLoRA fine-tunes of Qwen 2.5 7B and Llama 3.1 8B; 4-judge LLM panel across 3 model families; NeurIPS-format paper. |
PEFT, TRL, bitsandbytes |
| identity_delegation |
ControlArena setting testing trusted-monitor detection with and without identity context; three-protocol A/B design. |
ControlArena, Inspect |
| synth-attest |
Vendor-neutral, tamper-evident audit trail for DNA-synthesis screening with pluggable attestation backends. |
Python, Apache 2.0 |
| WhestBench |
Independent NumPy port of the ARC MLP cumulant-propagation method (ARC white-box estimation challenge). |
NumPy, flopscope |
| EM replication viewer |
Click any reported misalignment rate and re-derive it from the underlying completions. |
Static web |
| HealthFraudMLChain |
M.Sc. thesis: healthcare insurance fraud detection with ML and a blockchain audit trail (Best Final Year Project, NIT Patna). |
Scikit-learn, Flask, Hyperledger |
Research papers (2026)
- Redundancy Predicts Which SAE Features Transfer Across Models. Manuscript. Feature universality across GPT-2, Pythia, Mistral and Gemma.
- Learn the Decision, Not the Transform: Localizing Where Machine Learning Helps in Narrowband Technosignature Search. Under review, The Astronomical Journal. Code, DOI
- Political Content Triggers Stronger Emergent Misalignment Than Insecure Code. NeurIPS format, BlueDot Impact Sprint. Code
- Attestix: A Unified Attestation Infrastructure for Autonomous AI Agents. IEEE Transactions format. Paper
- Independent Deployment, Validation, and Security Audit of the NAO Metagenomic Surveillance Pipeline. Technical report, BlueDot Biosecurity.
- Attestix for Biosecurity: Verifiable Identity for DNA Synthesis Compliance. IEEE conference format.
Conference publications
Registered design and patent application
Education and AI Safety Training
| Period |
Programme |
Institution |
| Jul 2019 - Jun 2024 |
Integrated M.Sc. Mathematics, CGPA 8.89/10. Thesis grade A+, Best Final Year Project Award. |
National Institute of Technology Patna |
| Mar 2026 |
Technical AI Safety Course (Group 08, facilitator Caroline Shamiso Chitongo) |
BlueDot Impact |
| Mar 2026 |
Technical AI Safety Project Sprint (Group 7, facilitator Sean Herrington) |
BlueDot Impact |
| Feb 2026 |
Biosecurity Intensive Programme (facilitator Ulrik). Capstone: independent audit of the NAO metagenomic surveillance pipeline |
BlueDot Impact |
| LLMs and agents |
LangChain, LangGraph, AutoGen, CrewAI, LiteLLM, FastMCP (Model Context Protocol), Anthropic SDK |
| Fine-tuning and safety |
QLoRA (bitsandbytes, PEFT), TRL, Hugging Face Transformers, LoRA adapters, LLM-as-judge evaluation, behavioral probing, ControlArena and Inspect evaluations |
| ML |
PyTorch, TensorFlow, JAX, Scikit-learn, Weights and Biases, MLflow, Optuna, FAISS, ChromaDB |
| Standards |
W3C Verifiable Credentials, W3C DIDs, UCAN v0.9.0, RFC 8032 (Ed25519), EU AI Act 2024/1689 |
| Languages |
Python, C++, TypeScript/JavaScript, Go, Rust, R, SQL |
| Platform |
AWS (Lambda, RDS, Bedrock, Amplify), Azure, Kubernetes, Docker, Terraform, GitHub Actions |
- LASR Labs Summer 2026: selected for the fully funded AI safety research programme, London (May 2026)
- Iliad alignment-theory intensive: selected participant, LISA London (Jun 2026)
- Anthropic Claude Hackathon: selected among 500 from 13,000+ applicants (Jun 2025)
- Top 1% Python engineers on Algora.io (Jul 2025)
- Best Final Year Project Award, Department of Mathematics, NIT Patna (Jul 2024)
- GRE 332/340 (Quant 170/170), TOEFL 101/120
- METR: 78+ hours of AI safety evaluation as an independent contractor (Oct 2025 - Jan 2026)
- Springer Nature: journal reviewer, Multimedia Tools and Applications (Mar 2025 - present)
- UN Women Regional Office (Americas): AI chatbot developer, online volunteer (Sep - Nov 2025)
- Code Your Future (UK): mentor for refugees learning to code (Mar 2025 - present)
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