SHORYA

Researcher
& Builder

Specializing in Compilers, AI Infra, and Systems.

01. ABOUT

I am an undergraduate researcher focused on the intersection of systems, compilers, and machine learning infrastructure. My work centers on building efficient execution environments and storage architectures, ranging from designing domain-specific compilers for ML workloads to developing bare-metal operating systems.

Rather than treating software as a black box, I build tools from scratch to understand their fundamental abstractions, exploring how low-level systems design can accelerate and secure modern computing paradigms.

4+
Publications
Lines of Code

02. PUBLICATIONS

Published

IEEE ICIICS 2024 (Best Paper)

0xC7YP70: Quantum-Enhanced ECC Cryptosystem for Adaptive Payload Distribution with Error Correction

Rawal, S., Sinha, S., et al.

doi: 10.1109/ICIICS63763.2024.10859501
ICPEEV 2025

Flowing Blood Analysis & Separation: Integrating Raman Spectroscopy & Acoustophoresis

Rawal, S., Sinha, S., et al.

doi: 10.1109/ICPEEV67897.2025.11291246
ICAIML 2024

An examination of the techniques employed and the safety measures implemented in response to the surge in cyberattacks on the aviation sector

Rawal, S., Sinha, S., et al.

ISBN: 978-81-973274-9-0
Mapana Journal of Sciences

Unlocking the Future: DNA Encryption for Secure and Efficient Massive Data Storage

Rawal, S., Gohil, R., et al.

doi: 10.12723/mjs.sp2.19

Under Review

IEEE Transactions on Image Processing (Under Review)

QFT-Enhancement: A Modular Quantum-Fourier-Tensor Framework to Enhance Electron Microscope Images

Rawal, S.

Taylor & Francis GIScience & Remote Sensing (Under Review)

PixPer (Pixels to Perception): A Multimodal VLM Framework for Satellite Image Analysis

Balakrishnan, C.A., Jude, F.M., Jaisree, M.K., Rawal, S., et al.

Microchemical Journal (Under Review)

Comparative Study on Machine Learning Algorithms for Human Activity Recognition

Rawal, S., Sinha, S., et al.

03. PROJECTS

[Research]
[MLR]

Latent-Aware Compression Compiler

An MLIR-based storage compiler translating dataset schemas into a custom latent-block IR. By generating deterministic archive formats, it reduces I/O bottlenecks during model ingestion, empirically improving data loading efficiency by 40% on SpaceNet workloads.

MLIRCompilersC++
[Research]
[SEC]

0xC7YP70

An experimental ECC cryptosystem designed for real-time network channels. The protocol integrates adaptive payload distribution and custom error-correction heuristics to harden data transmission against emerging cryptographic vulnerabilities.

CryptographySecurity
[Open Source]
[SYS]

rxv6

A 32-bit instructional operating system kernel written in Rust, heavily inspired by MIT's xv6. It implements core primitives including a custom bootloader, protected mode transitions, and page-based memory management.

RustSystems
[Open Source]
[WSM]

emberc

A minimal C-to-WebAssembly (WAT) compiler developed in Rust. Designed to explore intermediate representations and WASM code generation without relying on massive toolchains like LLVM.

RustWASMCompilers
[Open Source]
[CMP]

Toy Scheme Compiler

A Scheme compiler built from scratch to explore functional language design. It implements a complete pipeline, from a custom lexical frontend and AST optimization passes down to a native assembly emitter.

CompilersScheme
[Open Source]
[CLI]

TermLab

A terminal-based mathematical plotting utility that utilizes raw CLI graphics buffers for rapid, lightweight visualization of functions directly in the console.

CLIMath
[Open Source]
[SYS]

SeaShell

An educational UNIX shell written in C to explore POSIX APIs, implementing low-level process management, custom signal handling, and standard I/O redirection.

SystemsC
[Open Source]
[NET]

FASM_SERVER

A minimalist web server engineered entirely in x86 Flat Assembly (FASM), built to study network socket programming and HTTP protocol handling at the architectural level.

AssemblyNetworking