Hi, I am
Chirag Malik
Building practical AI with purpose
Currently pursuing my Master’s in Artificial Intelligence and I specialize in full-stack AI development with a focus on GenAI, LLMs, RAG systems, and AI agents.
01. About Me
Hello! I’m Chirag Malik, a tech enthusiast with a passion for building intelligent systems.
During my Bachelor’s in Computer Science and IT, I explored web development and data analysis, but it was AI and machine learning that truly captured my interest. That curiosity led me to pursue a Master’s in Artificial Intelligence, where I’ve been developing full-stack AI solutions, with strong focus on GenAI, LLMs, RAG systems, and AI agents.
Every breakthrough fuels my drive to keep learning, experimenting, and turning cutting-edge AI ideas into real-world solutions that make a difference
02. Where I've Worked
AI Solution Developer @ Genesis
May 2025 - August 2025
- Created a scalable, full-stack RAG chatbot using FastAPI, React, and Llama 3, enabling real-time, accurate semantic search across 150+ documents with minimal delays
- Designed and built a flexible backend with PostgreSQL, Firebase Auth, and REST APIs to manage secure sessions and easy document uploads.
- Improved user experience and reliability by fine-tuning performance, reducing hallucinations, and enhancing the UI with Tailwind.
Undergraduate AI Research Assistant @ MIET
September 2022 - February 2023
- Built a CNN-based brain tumor detection tool using MRI data, achieving 98.25% training and 97% validation accuracy
- Improved model generalization by applying data augmentation and cross-validation, reducing overfitting by 15%
- Published results at an IEEE conference and presented to 100+ attendees, showcasing advances in AI for medical diagnostics
03. Some Things I've Built
Featured Project
Fine-Tuning Pipeline for Local LLMs
Built a general-purpose fine-tuning pipeline for Qwen 3 (0.6B) and other local LLMs using LoRA (PEFT) and the Unsloth framework with 4-bit quantization (QLoRA-style), enabling efficient domain adaptation on custom datasets. Includes Hugging Face Datasets integration for instruction-style preprocessing and exports models in GGUF format for fast, offline inference via Ollama
- Python
- PyTorch
- LoRA
- PEFT
- QLoRA
- Unsloth
Featured Project
Local LLM RAG Chatbot
- Python
- LangChain
- Ollama
- ChromaDB
- Hugging Face
- Streamlit
Featured Project
Brain Tumor Detection using Deep Learning
Built a CNN model using Keras and TensorFlow to classify MRI brain scans into tumor and non-tumor categories with high accuracy on real-world data. Implemented a full preprocessing pipeline with OpenCV, PIL, and NumPy for image normalization and augmentation, and developed a Flask-based web app for real-time tumor prediction with image upload and classification interface.
- Python
- Keras
- TensorFlow
- OpenCV
- NumPy
- Flask
04. What's Next?
Get In Touch
I’m currently looking for new opportunities, my inbox is always open. Whether you have a role in mind, a project to collaborate on, or just want to connect - feel free to reach out.