B.Tech @ NIT Jalandhar
Systems Programmer ⚙️ | DevOps Enthusiast ☁️ | AI Explorer 🤖 | Quantum Tinkerer ⚛️

• 🔧 Building a full-fledged C Compiler for x86-64, including parsing, semantic analysis, IR generation, optimization, and assembly code generation.
• 🧠 Placed 🥉 globally @ QWorld with a Quantum CNN classifier for hate content detection.
• 📄 Presented and published research on multimodal hate speech detection and AI-driven content moderation at E2ACON 2025.
• 🔬 Actively researching AI systems, multimodal learning, compilers, and intelligent infrastructure automation.
• 🧰 I enjoy debugging with gdb, building recursive descent parsers, and writing low-level systems tooling.
• 🌍 Passionate about clean architectures, compilers, distributed systems, and the logic behind machine intelligence.

Presented at E2ACON 2025, hosted by NIT Jalandhar and co-hosted by the School of Electrical and Electronic Engineering, Newcastle University, Singapore.

This research explores multimodal hate speech detection techniques using deep learning approaches to improve accuracy and scalability in AI-driven content moderation systems. The work highlights the importance of multimodal fusion for responsible AI applications.

• Dr. Simranjit Singh
• Shubhamdeep Singh

A from-scratch x86-64 compiler written in Python featuring:

• Lexical analysis
• Recursive descent parsing
• Semantic analysis
• Intermediate Representation (IR)
• Optimization passes
• Assembly code generation

A modern React + Tailwind CSS e-commerce platform with:

• Redux Toolkit
• React Query
• Dynamic product handling
• Responsive UI architecture

Biomedical NLP classification project trained on the PubMed200k dataset using TensorFlow, achieving 87.5% accuracy.

📧 Email: sallanrasheek@gmail.com
🔗 LinkedIn: linkedin.com/in/rasheek16
💻 GitHub: github.com/rasheek16

“Not just reading systems books — building the tools inside them.”
— Rasheek