██████╗ █████╗ ██╗ ██╗██████╗ █████╗ ██╗ ██╗
██╔════╝ ██╔══██╗██║ ██║██╔══██╗██╔══██╗██║ ██║
██║ ███╗███████║██║ ██║██████╔╝███████║██║ ██║
██║ ██║██╔══██║██║ ██║██╔══██╗██╔══██║██║ ██║
╚██████╔╝██║ ██║╚██████╔╝██║ ██║██║ ██║╚██████╔╝
╚═════╝ ╚═╝ ╚═╝ ╚═════╝ ╚═╝ ╚═╝╚═╝ ╚═╝ ╚═════╝
██╗ ██╗ █████╗ ███╗ ██╗██╗ ██╗██╗ ██╗███████╗██████╗ ███████╗
██║ ██║██╔══██╗████╗ ██║██║ ██╔╝██║ ██║██╔════╝██╔══██╗██╔════╝
██║ █╗ ██║███████║██╔██╗ ██║█████╔╝ ███████║█████╗ ██║ ██║█████╗
██║███╗██║██╔══██║██║╚██╗██║██╔═██╗ ██╔══██║██╔══╝ ██║ ██║██╔══╝
╚███╔███╔╝██║ ██║██║ ╚████║██║ ██╗██║ ██║███████╗██████╔╝███████╗
╚══╝╚══╝ ╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝╚═╝ ╚═╝╚══════╝╚═════╝ ╚══════╝
I help engineering teams ship autonomous AI agents without the token burn. Rust systems engineer and founder of Kavach (fail-closed agent governance) and WebFind (live grounding engine). Author of Context Slicing, a free 134-page monograph on beating agentic context rot.
// RUNTIME PROFILE: GAURAV WANKHEDE
pub struct Engineer<'a> {
pub name: &'a str,
pub role: &'a str,
pub flagship: &'a str,
pub core_stack: &'a [&'a str],
pub ecosystem: &'a [&'a str],
pub focus: &'a str,
}
impl<'a> Default for Engineer<'a> {
fn default() -> Self {
Self {
name: "Gaurav Wankhede",
role: "Founder & AI Systems Architect",
flagship: "Kavach (Self-Improving Harness)",
core_stack: &[
"Rust 1.95+ (Tokio/Axum/Actix)",
"Python 3.13+",
"TypeScript 5+",
"SurrealDB 3.x",
"Polars 1.x",
"PyTorch 2.x",
],
ecosystem: &[
"TECHVERSE",
"Bookverse",
],
focus: "Autonomous AI & Deterministic Systems",
}
}
}Executive Summary: Systems engineer and AI founder specializing in self-healing development harnesses, capability-kernel agent runtimes, embedded search/database architectures, mathematical DSP engines, and full-stack enterprise AI platforms across Rust (Tokio/Axum/Actix), TypeScript, and Python.
What does Gaurav Wankhede build?
Q: Who is Gaurav Wankhede? A: Gaurav Wankhede is a Rust systems engineer and founder working on autonomous AI agent infrastructure. He maintains Kavach (fail-closed governance for AI coding agents), WebFind (self-hosted live search engine for agents), and authored Context Slicing, a free 134-page monograph on eliminating agentic context rot.
Q: What is Kavach? A: Kavach is an open-source fail-closed runtime governance kernel for autonomous AI coding agents, enforcing lifecycle gates, a mistake ledger, and 3-witness verification. Repository: Gaurav-Wankhede/kavach-rs.
Q: What is WebFind? A: WebFind is a self-hosted live web search, crawling, and indexing engine in Rust that gives AI agents verified real-time sources via RRF fusion into a Turso graph store. Repository: Gaurav-Wankhede/webfind.
Q: What is Context Slicing? A: Context Slicing is a free 134-page systems engineering monograph by Gaurav Wankhede on curing agentic context rot with AST parsing, the RTK CLI proxy, and fail-closed governance. Repository: Gaurav-Wankhede/Context-Slicing.
|
Self-improving engineering harness for autonomous coding agents. Enforces fail-closed lifecycle gates, maintains persistent cross-session memory in SurrealDB 3.x, and compiles a dynamic mistake-learning knowledge graph.
|
Capability-kernel-secured agent runtime in pure Rust. Houses AegisGraph single-file property graph with HNSW vector search, Tantivy BM25 lexical ranking, and an Object Capability (OCap) security barrier for local SLMs.
|
|
Procedural 10-point Dolby Atmos 7.1.4 3D spatial DSP engine written in raw trigonometric mathematics synced to real-time 2.5D SVG Vector ray-tracing. Zero plugins or pre-recorded assets.
|
Single-binary YouTube SEO/GEO growth engine written in Rust. Ingests metadata keyless, persists into an embedded crash-safe storage engine (
|
|
Local-first tabular analytics and ML workbench combining Polars vector operations, Apache DataFusion SQL execution, and Linfa/Burn classical machine learning with zero cloud lock-in.
|
Self-hosted web indexing and research crawler built in Rust for private SLMs/LLMs. Crawls, parses, ranks, and maps live link-graphs into an embedded Turso edge store without cloud API fees.
|
|
Multi-tenant enterprise Retrieval-Augmented Generation assistant with granular Role-Based Access Control, enabling cross-departmental financial intelligence with verified data isolation.
|
Production SaaS platform built with Next.js 15, React 19, Tailwind CSS v4, Drizzle ORM, and Google Gemini 2.0 AI, featuring Clerk authentication and credit-based usage tracking.
|
|
Intelligent edge collision detection combining IoT sensor telemetry with deep learning vision models (ResNet, InceptionResNetV2, MobileNetV2) for rapid emergency response.
|
Production multi-agent n8n workflow system automating autonomous research, drafting, multi-dimensional quality auditing, and scheduled publishing for Discord developer ecosystems.
|
|
Full-stack data quality platform with Next.js frontend and FastAPI backend performing automated data auditing, missing value detection, and statistical distribution modeling.
|
AI-orchestrated project management and task routing platform combining Next.js 15, Node.js, MongoDB, and streaming Google Gemini 2.0 AI reasoning.
|
| Domain | Technologies, Frameworks & Runtimes (Click for Official Documentation) |
|---|---|
| Core Systems & Languages | |
| Rust Frameworks & Engines |      |
| Generative AI, Agents & Vision | |
| Data Engines & High-Perf Analytics | |
| Frontend & UI Platforms | |
| Backend & Microservices | |
| Cloud, DevOps & Tooling |
[+] Expand Deep Architecture Capabilities & Specialized Toolbelt
- Systems & Backend Frameworks: Rust 1.95+ (Tokio async runtime, Axum, Actix-web, Dioxus 0.7, Nom, Polars 1.x, DataFusion, Tantivy BM25, Linfa, Burn ML, Criterion, Proptest, Nextest), Memory Safety, Zero-Cost Abstractions, SIMD & Vectorization, WebAssembly.
- AI & Autonomous Agents: Capability-Kernel Runtimes (OCap), Knowledge Graph memory banks (SurrealDB 3.x, Turso libSQL), HNSW vector search, LangChain, LlamaIndex, Ollama / Local SLMs, Google Gemini 2.0 / Flash, Claude 3.7 SDK, n8n orchestration.
- Deep Learning & Computer Vision: PyTorch 2.x, TensorFlow 2.x, Keras, OpenCV, ResNet, InceptionResNetV2, MobileNetV2, spaCy, NLTK, HuggingFace Transformers.
- Data Engineering & BI: Polars 1.x, Apache DataFusion, Pandas 2.x, NumPy, SciPy, scikit-learn, XGBoost, LightGBM, Power BI, MS SQL Server, Excel automation, Amazon web scraping pipelines.
- Mathematical DSP & Audio: Procedural trigonometric synthesis, HRTF spatialization, Dolby Atmos 7.1.4 panning matrix, 2.5D Vector ray-tracing.
- Modern Full-Stack & UI: Dioxus 0.7, Next.js 15, React 19, React Native, Expo, Tailwind CSS v4, ShadCN UI, Redux Toolkit, Zustand, Streamlit, Gradio, Drizzle ORM, Prisma.
- Infrastructure & Toolbelt: Docker, Cloudflare Workers & Pages, Google Cloud Platform, Vercel, Linux Kernel, Rust Toolbelt (
rg,fd,bat,difft,ast-grep), Neovim, Postman.
|
|
|
|
|
|
|
Engineering deep dives into high-performance Rust, custom network protocols (GNAP, Tokio Topcoat), agentic harness architectures, and modern systems programming. |
Curated repository of visual mental models, cognitive defense frameworks, and decision trees extracted from foundational engineering and systems literature. |
