Open to opportunities

Muaaz Zakria

@muaazzakria

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AI/ML Engineer with 8+ years of experience in scalable solutions.

Zimbabwe

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful projects and contribute to a forward-thinking team.

I am an AI/ML Engineer with over 8 years of experience in building and deploying scalable AI solutions, including LLM-based products and RAG chatbots for clients such as SAP and Toyota. My expertise lies in Python, PyTorch, LangChain, AWS, Docker, and CI/CD, with a strong focus on model fine-tuning and optimization.

In my current role as a Senior AI/ML Engineer at Senarios, I led the development of an LLM-based AI product from research to production, implementing robust AI performance monitoring and logging. I have mentored junior engineers and collaborated with cross-functional teams to align our projects with business goals, ensuring high-quality outcomes.

Throughout my career, I have developed machine learning models that achieved 100% precision in detecting scam crypto pages and built deep learning classifiers for document detection. My commitment to continuous learning and improvement drives my passion for leveraging AI to solve real-world problems.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Senarios

Feb 2022 - Present (3 years 7 months)

Led the development of an LLM-based AI product from research to production, utilizing OpenAI and HuggingFace. Built RAG and Agentic RAG chatbots for SAP and Toyota clients, applying prompt engineering and fine-tuning with LangGraph to enhance AI model outputs.

Python PyTorch LangGraph AWS Docker CI CD Prompt Engineering RAG Agentic RAG LlamaIndex Pinecone Streamlit REST APIs Elasticsearch Pandas NumPy SQL MongoDB Nginx BASH fastAPI PostgreSQL Jira Confluence Agile Scrum

Machine Learning (ML) Engineer

SlashNext

Nov 2019 - Present (5 years 10 months)

Developed ML models in Python to detect scam crypto pages with 100% precision and built deep learning classifiers with PyTorch for malicious document detection. Applied prompt engineering and LLM fine-tuning with Langchain and HuggingFace for data augmentation.

Python PyTorch Lang Chain MLFlow Jupyter Notebooks scikit learn Streamlit Git BASH Docker AWS Pinecone Matplotlib Pandas Kubernetes Deep Learning Prompt Engineering Model Fine Tuning

Data Scientist

Aniti

Apr 2016 - Present (9 years 5 months)

Built AI models using Python and scikit-learn for clients like Telecom Italia and Axa, and conducted EDA with SQL, Python, and Matplotlib to validate data and uncover insights. Developed statistical models with R and TensorFlow for customer-agent pairing.

Python scikit learn SQL Matplotlib R TensorFlow Git Pandas NumPy Jupyter Notebooks MLFlow Pytest Machine Learning Statistical Modeling data preprocessing Jira Confluence

Education

Degrees, certifications, and relevant coursework

Information Technology University, Lahore

MS Data Science, Data Science

Completed a Master of Science in Data Science, focusing on advanced data analysis, machine learning, and statistical modeling techniques. Gained expertise in developing and deploying data-driven solutions.

University of Engineering & Technology, Lahore

BSc Electrical Engineering, Electrical Engineering

Obtained a Bachelor of Science in Electrical Engineering, building a strong foundation in engineering principles and problem-solving. Developed analytical skills applicable to various technical domains.