ASHISH SINGH BORA ashishsinghbora

Ashish Singh Bora

Computer Science Engineer · Linux & Systems · AI/ML · Open Source

$ whoami

Host        : ashish@archlinux
Kernel      : Linux x86_64
Role        : Computer Science Engineer
Focus       : Linux Systems, Autonomous AI Architectures, Systems Automation & Open Source
Methodology : Understand internals → Build reliably → Benchmark → Automate
Status      : Active contributor & systems builder

Computer Science engineer specializing in Linux systems, autonomous AI agents, and systems automation. I focus on software from the foundation up: understanding kernel interfaces, POSIX standards, memory constraints, and neural compute runtimes, then building robust tools, reproducible experiments, and automated infrastructure.

⚡ Current Focus

🐧 Systems & Infrastructure

Operating Systems: Linux internals, Arch Linux daily driver, POSIX standards
Tooling & Automation: Modular Bash engineering, system utilities, Python, C++
Infrastructure: Systemd service hardening, containerization, reproducible builds
Design Goals: Minimal bloat, high execution speed, zero unnecessary dependencies

🤖 AI & Autonomous Systems

Reinforcement Learning: Gymnasium benchmarking, policy optimization, adaptive control
Autonomous Agents: On-device agentic architectures under strict resource constraints (<50MB RAM)
Computer Vision: Planetary surface image registration, feature matching under severe illumination shifts
Deep Learning: PyTorch, ONNX, edge inference, reproducible training pipelines

🌐 Open Source & Reliability

Code Quality: Comprehensive test suites, behavioral validation, static analysis
CI/CD Automation: Declarative GitHub Actions workflows, automated releases
Upstream Contributions: Issue triage, code reviews, PR testing, reproducible reproductions
Toolchains: Strict linting, formatting, deterministic environment configurations

🔬 Active Engineering

AdaptiveRL (ARL): Modular reinforcement learning platform
LinuxScripts: 53-point validated Linux administration toolkit
ResilienceOS: Resilient, offline-first Arch Linux ISO architecture
ETS: Client-side encrypted tiered cloud storage for SBCs

🚀 Featured Projects

Project	Domain	Description	Stack
AdaptiveRL	Reinforcement Learning	Modular multi-environment reinforcement learning framework benchmarked across Farama Gymnasium environments up to autonomous 3D drone navigation.	`Python` `PyTorch` `Gymnasium` `SB3`
LinuxScripts	Linux Administration	Practical, modular Bash utilities for system administration, diagnostics, hardware telemetry, storage, and automated maintenance with zero bloat.	`Bash` `POSIX` `Shell` `CI/CD`
ResilienceOS	Edge OS Architecture	Custom Arch Linux environment and ISO build pipeline designed for resilient, offline-capable, and edge computing workloads.	`Arch Linux` `Shell` `Systemd`
ETS	Storage & Encryption	Client-side encrypted tiered cloud storage pipeline optimized for low-power Linux single-board computers (Raspberry Pi, Rockchip) and home servers.	`Shell` `Linux` `Cryptography`
Samanvaya	Computer Vision	Planetary image registration engine for lunar optical and NIR datasets under extreme shadow reversals.	`Python` `OpenCV` `NumPy`
Void	On-Device AI	Ultra-lightweight local agentic platform designed for Android/Termux environments operating under strict memory constraints (<50MB RAM).	`Python` `Local LLMs` `Linux/Android`

🧰 Technical Stack

┌──────────────────┬─────────────────────────────────────────────────────────────┐
│ Layer            │ Technologies                                                │
├──────────────────┼─────────────────────────────────────────────────────────────┤
│ Core & Systems   │ Linux (Arch), Bash / POSIX Shell, C++, Python, Git          │
│ AI / ML Runtimes │ PyTorch, Farama Gymnasium, Stable-Baselines3, OpenCV, NumPy │
│ Infrastructure   │ Docker, GitHub Actions, Systemd, Linux userland utilities   │
│ Web & Interfaces │ TypeScript, Next.js, Tailwind CSS                           │
└──────────────────┴─────────────────────────────────────────────────────────────┘

📡 Live Profile Telemetry

Metric	Specification	Status
Public Repositories	Active open source repositories	`28`
Total Stars Earned	Public repositories & ecosystem contributions	`★ 330`
Followers	Technical peers & collaborators	`111`
Following	Engineers, researchers & projects followed	`405`
Public Gists	Standalone scripts, configs & benchmarks	`2`
Telemetry Status	Last automated verification timestamp	`2026-09-28 (UTC)`

📈 Recent Public Activity

Repository	Description	Language	Stars	Last Pushed
csnotes	The open-source Computer Science textbook for students.	`—`	★ 1	`2026-09-27`
androidai	It is a android automation ai that automate what we do in our phones	`—`	★ 1	`2026-09-27`
LinuxScripts	A collection of practical, safe, and modular Bash utilities for Linux system administration,...	`Shell`	★ 13	`2026-09-26`
Flashcore	FlashCore — Open-source, non-root Android utility to create bootable USB drives (Linux Hybri...	`Kotlin`	★ 17	`2026-09-26`
Samanvaya	Planetary image registration engine for lunar optical and NIR datasets under extreme shadow...	`Python`	★ 16	`2026-09-26`
Void	VOID (Versatile On-device Intelligent Daemon)is an enterprise-grade, ultra-lightweight local...	`Python`	★ 15	`2026-09-26`

⚡ Automated live sync executed on 2026-09-28 via GitHub Actions.

🧠 Engineering Principles

First-Principles Grounding: Understand lower-level fundamentals before layering abstractions.
Deterministic & Reproducible: Enforce strict configurations, seeds, and automated validation.
Minimal Dependencies: Prioritize the standard library and native OS capabilities over heavy frameworks.
Automate Everything: If a process runs more than twice, encode it into a resilient script or CI workflow.

_{Maintained automatically via GitHub Actions with pure Python standard library telemetry.}

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