Sumit Yadav

AI Safety & Interpretability Researcher

Computer Engineering · Pulchowk Campus, Tribhuvan University, Nepal

Email · Google Scholar · GitHub · LinkedIn · CV · Blog

I am a Computer Engineering student at Pulchowk Campus, Tribhuvan University, working on the interpretability and safety of language models. My research looks at how safety-aligned LLMs fail silently — through over-refusals, geometric misrepresentation, and surface-level triggers — and how the internal structure of a model's representations can be understood and steered to make it safer and more reliable.

A recurring theme in my work is geometry: representations trace structured trajectories inside a model, and that structure turns out to predict both safety behavior and generalization. I am equally invested in extending these tools to low-resource and multilingual settings, where I built the first language model for Maithili (~50M speakers).

I currently lead AI-safety and agentic-systems research at Astha.ai, and I am ready to begin a PhD (Fall 2027) in mechanistic interpretability and AI alignment — actively looking for the right group to join.

Research Interests

Mechanistic interpretability — representation trajectories, activation steering, circuits
AI alignment & safety — over-refusals, safe deployment, agentic oversight
Representation geometry — effective dimension, generalization, distribution shift
Low-resource & multilingual NLP — models and benchmarks for underrepresented languages
Agentic systems security — prompt injection, tool poisoning, Model Context Protocol (MCP)

Selected Publications

See my Google Scholar for the full list.

1. SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering. ACL 2026 (Main Conference). An inference-time, task-aware trajectory-shifting method that cuts over-refusals by up to 73% with minimal utility loss — no retraining required. [paper]

2. On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks. Preprint, 2026 (sole author). Shows that effective dimension — an unsupervised geometric metric — predicts generalization across vision and language models (partial r = 0.75 over 52 classifiers). [paper]

3. Geometric Phases of Mechanism Formation in Neural Networks. Working paper, 2026. Traces how internal mechanisms form across training using linear probes, CKA, and targeted ablations (CIFAR-10/100).

4. Can maiBERT Speak for Maithili? LoResLM @ ACL 2026. The first monolingual BERT for Maithili (~50M speakers); 87% accuracy on news classification, outperforming MuRIL and NepBERTa. [paper] [model]

5. Revolutionizing Currency Security: A YOLOv8-Based Approach for Detecting Counterfeit Nepali Banknotes. J. Bus. Econ. Stud., 2024. [paper]

6. Machine Learning Analysis of Tirhuta Lipi. 2023. 0.97 accuracy in Tirhuta script recognition for OCR and translation of low-resource scripts. [paper]

7. Support Vectors Are a Better Way of Text Classification for Imbalanced Data. 2023. A robust SVC method for 100+ class text classification under severe imbalance. [paper]

Preprints & Work in Progress

Cross-lingual inference-time steering (devanagari-steering) — transferring a model's Hindi competence onto sister Devanagari languages (Maithili, Nepali, Bhojpuri) with no fine-tuning, directly extending SafeConstellations and maiBERT.
Federated memory for AI agents (paper · server) — long-term agent memory with transaction trails, versioning, and audit; evaluated on LOCOMO and LongMemEval.

News

2026 — SafeConstellations accepted to ACL 2026 (Main).
2026 — maiBERT accepted to LoResLM @ ACL 2026.
2026 — Preprint on representation geometry and generalization released.
2024– — Leading AI-safety & agentic-systems research at Astha.ai (MCP-Scanner, SAFE-MCP).

Experience

AI Researcher — Safety & Agentic Systems, Astha.ai (2025–present) — Zero-Trust agent oversight, MCP-Scanner vulnerability platform, SAFE-MCP framework.
AI Engineer — RAG & Infrastructure, AMNIL Technologies (2024–2025) — guardrails, LLM-as-a-Judge evaluation, self-hosted LLM serving with vLLM.
Data Team Lead, GradeUp Educations (2022–2024) — learning agents/chatbots, an automated grade-evaluation system, and semantic-similarity matching.
GAN Specialization Mentor, DeepLearning.AI (2021–present).

Selected Projects

maiBERT — first BERT for Maithili (demo).
SAFE-MCP — adversarial evaluation framework for MCP agent infrastructure.
AgentGuard — Zero-Trust protocol for AI agents: identity, policy, mTLS, audit (Python SDK + Go server).
spiffe-core · TraT — SPIFFE-based agent identity / attestation and Transaction Tokens for multi-agent workflows.
sumit-mcp-server — federated memory MCP server (live on HF Spaces).
Vibe-Coder — an agent that builds Streamlit/FastAPI apps.
IRB Robotics Arm — open-source image-recognition robotic arm (UN SDG3).

Honors & Awards

Winner, GritFeat AI Hackathon (2023) — SWIFT: wearable LSTM fall-detection for the elderly (79.86%).
1st Runner-Up, Locus Dataverse (2023) — NLP classification of imbalanced research-paper abstracts.
1st Runner-Up, Docsumo DataRush (2022) — abstract classification into 158 classes (SVC + TF-IDF).
Best AI Project, DELTA 3.0 (2023) — Nepali Harvest: crop-disease prediction & harvest-time recommendations.
Winner, IT-Meet Image Challenge (2022) — computer-vision classification of Nepali ballot-paper images.
Winner, LogPoint Capture The Flag (2022) — binary exploitation & forensics.

Active Kaggle competitor — recent: ARC-AGI / NeuroGolf 2026 (minimal-cost ONNX networks), BirdCLEF 2026, and Scientific Image Forgery Detection (SAM-based).

Documents & Links

Curriculum Vitae · PDF Résumé · PDF Tensor Processing Units · PDF Blog — Tatva · writing Photography · gallery Drum Machine · interactive Hugging Face · models

Notes & Lab Reports

Singular Value Decomposition · PDF Data Insights · slides Artificial Neural Network · lab Genetic Algorithm · lab Constraint Programming · lab Propositional Logic · lab UNIX & Shell Programming · lab CT/DT Functions · lab

Contact

Academic: 076bct088.sumit@pcampus.edu.np
Personal: rockerritesh4@gmail.com · +977-9819856148
Kathmandu, Nepal