Saksham
Jaiswal

Building compilers, intelligent systems, and AI infrastructure — engineered for precision, performance, and systems-level clarity.

the deeper the flaw in the foundation,
the more expensive the illusion of stability becomes.

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Philosophy

First Principles.

Deconstructing abstractions to build fundamentally better, deterministically reliable software infrastructure.

Core Project

Building Prismio.

An LLVM-backed programming language focused on semantic clarity, deterministic tooling, and AI-native development.

boot_sequence
~❯./initialize_core.sh
[+] Allocating memory sectors... OK
[+] Loading language semantics... OK
System Ready

Execution Log

Deployed Systems.

Prismio — Systems Programming Reimagined
[ STATUS :: BOOTSTRAPPING ECOSYSTEM ]
ONLINE
ABSTRACTIONS: MINIMALCONTROL: MAXIMUM

Prismio — Systems Programming Reimagined

An LLVM-backed programming language focused on semantic clarity, deterministic tooling, and AI-native developer workflows — designed to combine low-level control with modern developer ergonomics.

Architecture
LLVMAI-NativeToolchain

Tools & Technologies

Languages

PrismioTypeScriptJavaScriptKotlinJavaC++

Frontend

ReactNext.jsTailwind CSSFlutter

Backend

Node.jsPostgreSQLSupabase

Infrastructure

GitHubDocker

IDEs

IntelliJWebStormCLionRider

Creative

After EffectsPhotoshopPremiere ProBlenderUnreal Engine
Engineering Pipeline

Execution Protocol.

A deterministic framework for building reliable, highly scalable software infrastructure.

NODE 01

First Principles Architecture

Every system is reduced to its core constraints before abstractions are introduced. I focus on semantic clarity, deterministic behavior, and long-term maintainability from the foundation upward.

NODE 02

Core Infrastructure

Building Prismio — an LLVM-backed programming language designed for readable systems programming, stable tooling, and AI-native developer workflows without sacrificing low-level control.

NODE 03

Continuous Delivery

Rapid iteration through feedback loops, architecture refinement, and continuous system-level optimization. The goal is software that scales cleanly — both technically and cognitively.