Hi, I am
Chirag Malik
Building practical AI with purpose
Full-stack developer and AI engineer with a Master's in Artificial Intelligence. I build production ready web applications and intelligent systems - from frontend to backend to LLMs, RAG, and AI agents.
01. About Me
Hello! I'm Chirag Malik, a software engineer driven by the challenge of building intelligent systems that are as reliable as they are smart.
My background is in Computer Science with a Master's in AI. But I learned early that a great model means nothing if it breaks in production - so I focus on the engineering side of AI: evaluation frameworks, testing pipelines, and infrastructure that ensures things actually work when real users depend on them.
I'm a full-stack developer at core - I pick the right tool for the job over what's trendy. The goal is always the same: turn complex AI into software people can actually use.
02. Where I've Worked
AI & Full Stack Developer @ Mxpert
Sep 2025 - Dec 2025 · St John's, NL, Canada (Hybrid)
- Built an automated testing pipeline for conversational AI agents using Python, ML methods, and OpenAI APIs, validating accuracy, pricing logic, and multi turn response quality across real service scenarios.
- Designed a multi stage evaluation framework using cosine similarity, LLM scoring, and domain checklists to measure responses across 8+ criteria, helping improve our AI agent model to achieve over 98 percent accuracy.
- Implemented dynamic state slot memory systems to preserve key attributes like service, price, and duration, significantly improving multi-turn contextual consistency.
- Improved customer data workflows on the frontend by enhancing React and TypeScript components, making internal tools more intuitive and reducing steps needed to access services and information.
- Strengthened backend integrations and data retrieval by extending and optimizing API endpoints, ensuring smoother communication between frontend views and backend systems while enabling new product features.
AI Developer | Full-Stack RAG Application @ Genesis
May 2025 - Aug 2025 · St John's, NL, Canada (Hybrid)
- Built a full stack RAG chatbot using Llama 3, FastAPI, and React, achieving highly accurate, context aware responses across a dynamic knowledge base of 150+ documents.
- Designed a scalable pipeline to parse PDF/DOCX files, perform chunking and embedding, and store vectors in Qdrant, enabling low latency semantic search (<500ms).
- Developed a modular backend with PostgreSQL, Firebase Auth, and REST APIs to handle user sessions, chat history, and document uploads.
- Created a responsive React and Tailwind frontend with real time chat UI, integrated with Firebase Auth and Context API for seamless state management.
- Validated system performance and accuracy through rigorous testing with a diverse queries confirming the model's ability to minimize hallucinations and deliver consistently relevant answers
Software Engineer @ Builder.ai
Jul 2023 - Aug 2024 · Gurugram, India (Hybrid)
- Designed and built backend services and REST APIs using Node.js, Python, and .NET to power client-facing features and third-party integrations.
- Integrated external systems (CRMs, authentication providers, cloud data stores), managing API contracts, auth flows, error handling, and data transformation.
- Containerized and deployed services using Docker and AWS ECS, enhancing CI/CD pipelines with AWS CodePipeline to improve release reliability and shorten deployment cycles.
- Optimized PostgreSQL and MongoDB schemas and queries, improving performance and stability under high-load conditions.
- Collaborated cross-functionally to translate evolving requirements into scalable, production-ready solutions within tight timelines.
Research Assistant @ MIET
Aug 2022 - May 2023 · Meerut, India (On-site)
- Conducted deep learning research on brain tumor detection under faculty mentorship; published at IEEE (New Delhi divison).
- Built a CNN-based classification model using TensorFlow/Keras for MRI tumor detection, achieving 98.25% training and 97% validation accuracy.
- Developed a Flask web app with a Bootstrap frontend for real-time MRI upload and prediction, integrating OpenCV and PIL for preprocessing and inference.
- Designed and managed the full data pipeline (3,000 MRI images), including preprocessing, augmentation, normalization, and train/test splitting using scikit-learn.
03. Some Things I've Built
Featured Project
HeartHush - AI Mental Wellness Platform
A private mental wellness platform with an AI chatbot built using RAG on world-class psychological research and fine-tuned LLMs trained on therapist style responses. It offers safe, context-aware conversations, emotion and mood analysis, and evidence-based exercises, tools and interactive mental health games. Designed with strict user confidentiality and a seamless, responsive chat experience across the entire platform.
- RAG
- LLM Fine-Tuning
- Python
- Postgres + VectorDB
- React
- Next.js
Featured Project
Servira - Business Automation Platform
Servira helps service professionals streamline scheduling, client management, invoicing and payments through automated booking, a built-in CRM, AI-assisted workflows and secure Stripe billing. With an intuitive dashboard, calendar scheduling, real-time insights and self-service client pages, Servira provides a smooth end-to-end workflow that saves time, automates operations and supports business growth.
- React
- TypeScript
- Python
- OpenAI API
- Stripe
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
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.