Ekjot Singh
Parsing the Thermodynamics of Intelligence.
I am a Systems Architect & Researcher building at the frontier of Deterministic AGI. Currently bridging the gap between biological intuition and digital reasoning at Metanthropic.
Selected Artifacts
01Chromabase
Owner • Private
A powerful CLI utility that encodes massive datasets and files into resilient video formats for infinite cloud storage bypass.
SIM8086
Owner • Public
A modular cross-platform hardware emulator and assembler for the Intel 8086 microprocessor.
Technical Arsenal
02Systems & Low-Level
- Rust
- Go
- C
- C++
- Assembly
- Bash
Database & Real-Time Engines
- PostgreSQL
- libpq
- PostgREST
- Elixir
- WebSockets
- Vector Databases
AI & Applied Research
- Python
- PyTorch
- Llama Models
- OpenRouter API
- Dataset Distillation
Infrastructure & Orchestration
- Docker
- Kubernetes
- Terraform (HCL)
- Ansible
- Linux Kernel
Security & Cryptography
- Web Crypto API
- JWT
- Row Level Security (RLS)
- Uncrypto
Application Architecture
- TypeScript
- Next.js
- React
- Node.js
- Bun
- Tailwind CSS
- Qt 6
Education
03Vellore Institute of Technology
Specialized in Artificial Intelligence and Systems Engineering.
Certifications
04Algorithms Specialization
Machine Learning Specialization
The Bits and Bytes of Computer Networking
Experience
04TealBase
Engineering an open-source Firebase alternative utilizing PostgreSQL. Architecting the core database engine, real-time WebSocket broadcasting (realtime-js), and secure JWT-based auth systems with Row Level Security. Managing open-source community contributions and infrastructure scaling.
Metanthropic Lab
Architecting a frontier research institution dedicated to building verifiable, interpretable, and safe Artificial General Intelligence. Leading development on cross-model generalization methodologies like Linear Gradient Matching for dataset distillation.
Publications
05SPECIFICATION: Metanthropic Neural Ablation via Attention Refraction (M-NAAR)
Introduces M-NAAR to resolve the 'Unlearning Trilemma.' By refracting attention away from high-entropy tokens rather than destroying weights, we achieve 0.00 hallucination rates and robust deletion without lobotomizing the model.
Specification for Latent Logic Topology & Soundness-Aware Calibration
Operationalizes LLMs as engines of 'Latent Causal Chains' to solve the RLVR Convergence Paradox. Introduces the Soundness-Aware Level (SAL), a microscopic metric that predicts post-alignment reasoning performance with 87% accuracy.
The Kinetic-Potential Information Disentanglement Protocol (KP-IDP)
Invalidates the dangerous conflation that Decodability equals Causality. Introduces KP-IDP to distinguish between 'Dark Computation' (Kinetic) and 'Phantom Readouts' (Potential), solving the intervention-reversal paradox.
Module 003-CFG: Chronometric Flux Gating
A dynamic regularization protocol that eliminates Latent Manifold Collapse in Sparse Autoencoders. By treating feature importance as a temporal trajectory, CFG reduces feature absorption by 95% compared to Top-K baselines.
The Notebook
04"The Notebook" is a collection of rough thoughts, research notes, and architectural decisions. It serves as a public log of my attempt to reverse-engineer intelligence.
View All Entries →Solving the Unlearning Trilemma with M-NAAR
Feb 12, 2026Achieving 0.00 hallucination rates in model unlearning by refracting attention away from high-entropy tokens.
Latent Logic Topology & SAL Calibration
Feb 10, 2026Operationalizing LLMs as engines of 'Latent Causal Chains' to solve the RLVR Convergence Paradox with 87% accuracy.
Chromabase: Filesystems into Pixels
Feb 08, 2026A powerful Rust CLI utility for high-density cloud storage bypass via video archives.