I’m Meet, a systems programmer and AI/ML researcher focused on low-level engineering, AI-native tools, and modern compiler design. From building operating systems and optimizing compilers to designing fast inference APIs and embedded AI runtimes, I enjoy working at the intersection of software performance and intelligent systems.
A custom-built AI inference API optimized for real-time use cases, significantly faster than Flask/FastAPI for production deployment.
Designing a new language tailored for machine learning workloads:
- Built-in tensor support and autodiff
- GPU acceleration
- Lightweight, YAML-inspired syntax
A minimal AI runtime running directly on hardware—no OS—targeted for embedded inference systems.
Research into LLVM IR optimization using AI/ML models to improve runtime performance of ML pipelines.
An experimental GitHub alternative built with smart contracts, Rust, and Ethers.js, focusing on decentralized code collaboration.
A high-performance JNI-integrated tensor computation library for Java applications.
| Domain | Skills & Tools |
|---|---|
| Systems & OS Development | Rust, x86 Assembly, bootloaders, kernel design, memory mgmt |
| Compilers & Optimization | LLVM, MLIR, JIT interpreters, Rust backends |
| AI/ML Applications | PyTorch, ONNX, embedded ML, AI-first language design |
| Networking & Security | Raw sockets, DPI, exploit research, Tor, DNS, WebRTC |
| Web3/Blockchain | Solidity, Ethers.js, smart contract dev |
| Project | Description |
|---|---|
| Rust-Based JIT Compiler | Built a fast JIT interpreter using Rust and LLVM |
| Raw Socket Sniffer | A packet sniffer for low-level traffic inspection |
| AI Ambulance System | Routing system for rural India using React Native + ML |
| Fraud Detection App | Android app using RandomForest for transaction fraud detection |
| Kapitan Contribution | Added HTTPS/Git-based remote inventory fetching |
| TensorDB | JNI-based tensor library for Java using Rust backend |
| Stock Prediction Model | ML pipeline for Indian stock time-series prediction |
- Advanced Rust for OS and compiler internals
- MLIR and AI-based compiler optimization
- WebRTC and P2P networking
- Embedded AI runtime on bare metal
- Mobile AI apps with React Native
- GitHub: github.com/dawdameet
- LinkedIn: linkedin.com/in/meetdawda
- Email: [email protected]
"The best way to predict the future is to invent it."
