Muizz Butt
Verified Expert in Engineering
ML/AI Engineer and Developer
Lahore, Pakistan
Toptal member since August 5, 2026
Muizz is a senior ML/AI engineer with 6 years of experience building intelligent systems that solve real business problems. He specializes in RAG pipelines, agentic AI workflows, and scalable Django/cloud architectures that have driven results such as 80% faster content production through custom automation. From fine-tuning LLMs to architecting compliance-ready AI assistants, Muizz turns complex ML challenges into production-ready solutions clients can rely on.
Portfolio
Experience
- Python - 6 years
- Django - 4 years
- Azure - 4 years
- DevOps - 4 years
- Generative Artificial Intelligence (GenAI) - 3 years
- LangChain - 3 years
- Agentic AI - 3 years
- Large Language Models (LLMs) - 3 years
Preferred Environment
Azure, Git, Docker, Kubernetes, Scrum, Python, Flutter, Agentic AI
The most amazing...
...platform I've built is Primerise, which reduced content creation time by 80% and became a core product line at Prodago.
Work Experience
Senior Software ML/AI Engineer
Prodago
- Managed the application end-to-end, covering GenAI systems, back end, DevOps, and cloud infrastructure, as the sole engineer overseeing all aspects and reporting directly to stakeholders on architecture and delivery.
- Architected and shipped Primerise, an agentic RAG platform that autonomously generates and maps AI governance operational practices from the Government of Canada compliance documents, cutting content creation time 80%.
- Drove team-wide adoption of AI-assisted engineering, embedding Graphify and Claude-based coding agents into the team's development and testing workflow to compress feature cycles and raise test coverage.
- Built and operated the full CI/CD and infrastructure layer on Azure, including DevOps pipelines, Docker, Kubernetes, and resource provisioning, reducing deployment time by 30% and resolving production authentication and reliability issues.
- Integrated MCP into Primerise's agentic pipeline to power agent-to-tool communication, connecting agents to PDF extraction and document data sources, running in production and serving a large number of real users.
LLM Trainer
Turing
- Collaborated with a major client to implement reinforcement learning with human feedback (RLHF), enhancing their model's performance by 45%, leading to more accurate predictions and improved decision-making.
- Completed 3 high-impact projects for major companies, implementing supervised fine-tuning of their large language models (LLMs), which resulted in a performance boost of over 50% in key NLP tasks such as accuracy and relevance.
- Designed and executed rigorous prompt evaluation frameworks across multiple LLM projects, identifying and correcting model failure patterns that reduced hallucination rates and improved output consistency by 30%.
Software Engineer
Educative
- Developed and implemented 10 cloud-based labs for deploying microservices on AWS, providing an interactive learning experience for users.
- Created and managed MLOps pipeline using Amazon SageMaker, facilitating streamlined deployment and management of machine learning (ML) models within AWS cloud infrastructure with 100% completion rate.
- Leveraged infrastructure-as-code (IaC) tools like Terraform and CloudFormation to automate and expedite microservice deployments on AWS, achieving a 20% reduction in deployment time.
- Leveraged Python for comprehensive testing and validation of all 120 cloud labs, ensuring high-quality educational resources for learners.
- Authored 25+ comprehensive technical articles with an average of 7+ minutes engagement time on various technologies, including Dart, Flutter, SQLAlchemy, Bash, and MLOps, promoting knowledge sharing within the developer community.
Flutter Software Engineer
NativeSol
- Spearheaded the conceptualization, design, and deployment of 8 diverse applications and 3 content management systems (CMSs) across global markets, driving user adoption in various regions.
- Designed and integrated interactive onboarding screens and micro-animations, resulting in a 30% increase in user engagement measured by time in app and completed actions.
- Mentored junior developers on code review best practices and unit testing, leading to a 25% improvement in code quality, evidenced by reduced bugs and maintainability.
Experience
Primerise
https://primerise.prodago.com/GIFT University LMS
https://lms.gift.edu.pk/PdfGPT
Education
Master's Degree in Data Science
University of Engineering and Technology - Lahore, Pakistan
Bachelor's Degree in Information and Technology
University of Punjab - Lahore, Pakistan
Skills
Libraries/APIs
Claude API, Node.js, TensorFlow, PyTorch, PostgREST, React
Tools
Claude Code, Claude, Terraform, Git, Amazon SageMaker, Grafana, Amazon Textract
Languages
Python, SQL, JavaScript, Dart, Java
Paradigms
Asynchronous Programming, Model Context Protocol (MCP), DevOps, Scrum, Kanban
Storage
PostgreSQL, NoSQL, Databases, Redis
Frameworks
Django, LangGraph, Agentic Frameworks, Flutter, NestJS, Next.js, LlamaIndex
Platforms
Backendless, Azure, Kubernetes, AWS IoT, Amazon Web Services (AWS), CrewAI, Docker, Firebase
Other
Agentic AI, Generative Artificial Intelligence (GenAI), Supabase, Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-augmented Generation (RAG), Back-end, AI Agents, Agentic Workflow Design, Prompt Engineering, AI Agent Orchestration, Conversational AI, RAG Systems, Anthropic, OpenAI, APIs, Attention to Detail, Solution Architecture, ChatGPT API, Gemini API, LLM Agents, CI/CD Pipelines, Natural Language Processing (NLP), LangChain, Vector Databases, Machine Learning, Agentic RAG Systems, FastAPI, Observability, AI Model Training, Classification, Computer Vision, Workflow Automation, AI Voice Agents, Evaluation, PDF Scraping, Natural Language Understanding (NLU), API Design, Error Handling, Multi-agent Systems, AI Systems, OpenAI Agents SDK, Machine Learning Operations (MLOps), Networking, Programming, Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-tuning (SFT), Full-stack Development, Software Engineering, Data Annotation, Model Evaluation, Prompt Optimization, MLflow, Software Architecture, Optical Character Recognition (OCR), Fine-tuning, Embeddings from Language Models (ELMo), Multi-agent Orchestration, Agentic AI Systems
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