Ajeet Singh
Building Intelligent Systems & Digital Experiences
I am a graduate AI/software engineer focused on RAG applications, computer vision, and systems-level software. I recently completed a Master of Artificial Intelligence at RMIT and have built applied AI projects using Python, PyTorch, LangChain, ChromaDB, and local LLMs. I also contributed review-ready C patches to FreeBSD/QEMU through Google Summer of Code.
Technical Arsenal
Core Tech
Python C C++ SQL
AI & ML
PyTorch LLMs / RAG Computer Vision LangChain ChromaDB
Development
Linux Bash Git QEMU FreeBSD
Data Science
Pandas NumPy Matplotlib Seaborn Vega-Lite
Selected Projects
Aerial imagery segmentation system for buildings, roads, water, and solar panel detection.
Generates interactive charts from CSV data using LLMs and Vega-Lite.
CHIP-8 emulator built with Raylib and compiled to WebAssembly for the browser.
Experience
Google Summer of Code contributor
FreeBSD / QEMU
May - August 2024
- Implemented AArch64 and RISC-V support in QEMU’s FreeBSD user-mode emulation, collaborating with mentor Warner Losh.
- Investigated syscall behavior, ABI compatibility, and architecture-specific edge cases across FreeBSD user-mode execution.
- Submitted review-ready patches through upstream maintainer review, incorporating feedback and iterative testing.
Education
Master of Artificial Intelligence
Royal Melbourne Institute of Technology, Australia
Completed June 2026
B.Tech in Computer Science
SRM Institute of technology, India
2020 - 2024