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Years of experience working as a Machine Learning Engineer and Data Scientist, I currently lead innovative AI projects. My role involves close client collaboration to deliver high-quality solutions on time. I hold a Master’s in Data Science from Information Technology University, where my research on satellite imagery was published in the NCAA Journal. My technical skills include Data Science, Python, LLMs, Langchain, AWS, SQL, and Data Analysis, with a strong focus on machine learning, and deep learning.…Years of experience working as a Machine Learning Engineer and Data Scientist, I currently lead innovative AI projects. My role involves close client collaboration to deliver high-quality solutions on time. I hold a Master’s in Data Science from Information Technology University, where my research on satellite imagery was published in the NCAA Journal. My technical skills include Data Science, Python, LLMs, Langchain, AWS, SQL, and Data Analysis, with a strong focus on machine learning, and deep learning.

Muaaz Zakria

Data Scientist, AI Engineer, Full Stack Developer, +5

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Years of experience working as a Machine Learning Engineer and Data Scientist, I currently lead innovative AI projects. My role involves close client collaboration to deliver high-quality solutions on time. I hold a Master’s in Data Science from Information Technology University, where my research on satellite imagery was published in the NCAA Journal. My technical skills include Data Science, Python, LLMs, Langchain, AWS, SQL, and Data Analysis, with a strong focus on machine learning, and deep learning.…Years of experience working as a Machine Learning Engineer and Data Scientist, I currently lead innovative AI projects. My role involves close client collaboration to deliver high-quality solutions on time. I hold a Master’s in Data Science from Information Technology University, where my research on satellite imagery was published in the NCAA Journal. My technical skills include Data Science, Python, LLMs, Langchain, AWS, SQL, and Data Analysis, with a strong focus on machine learning, and deep learning.

Available to hire

Years of experience working as a Machine Learning Engineer and Data Scientist, I currently lead innovative AI projects. My role involves close client collaboration to deliver high-quality solutions on time.
I hold a Master’s in Data Science from Information Technology University, where my research on satellite imagery was published in the NCAA Journal. My technical skills include Data Science, Python, LLMs, Langchain, AWS, SQL, and Data Analysis, with a strong focus on machine learning, and deep learning.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Work Experience

AI Lead at Nuclieos

March 1, 2025 - Present

Design, develop, and optimize AI solutions using LLMs and related frameworks. Implement prompt engineering techniques to improve model outputs and user experience. Explore RAG methodologies for dynamic, context-aware AI solutions. Oversee end-to-end lifecycle of AI projects from ideation to deployment. Deploy and maintain AI/ML models using cloud platforms (AWS, Azure, GCP) or containerized environments (Docker, Kubernetes). Apply MLOps best practices to ensure robust, scalable AI pipelines. Lead design and development of web applications using Python or JavaScript frameworks and modern frontend frameworks. Integrate AI services and REST APIs into full-stack solutions. Conduct thorough API testing and documentation using tools like Postman. Use Git/GitHub for version control, code reviews, and collaboration. Guide best practices in code quality, testing, and documentation. Coordinate with cross-functional stakeholders to align AI roadmaps with business objectives. Lead and mentor junio

Senior ML Engineer at Senarios

March 31, 2025 - October 17, 2025

Led end-to-end development of a Large Language Model-based AI product from research through to production. Led development of advanced chatbot solutions based on RAG and Agentic RAG systems for clients like SAP and Toyota, focusing on automating and improving user interactions. Applied software engineering best practices to ensure high-quality code, including version control, testing, and documentation. Implemented monitoring, logging, and error-handling to ensure reliability and performance. Directed deployment efforts for the ML team by containerizing projects with Docker, establishing CI/CD pipelines using GitHub Actions, configuring NGINX with custom domains, and deploying on AWS for scalability, reliability, and cost efficiency. Collaborated closely with cross-functional teams (product managers, software engineers, business stakeholders) to align ML solutions with business objectives and deliver results. Mentored junior ML engineers.

ML Engineer at SlashNext

September 30, 2023 - October 17, 2025

Drove detection of phishing and scam websites using machine learning with high precision and recall. Designed robust classifier for malicious document detection using ML/DL achieving >90% precision and recall. Applied prompt engineering and LLMs for data augmentation tasks for a Business Email Compromise (BEC) model. Actively annotated data and continuously monitored models in production. Participated in daily standups and collaborated with QA for testing as needed.

Data Scientist I at Afiniti

December 31, 2022 - October 17, 2025

Served multiple high-profile clients (e.g., Telecom Italia, Yapı Kredi, AXA), delivering tailored AI solutions. Conducted Exploratory Data Analysis (EDA) using SQL and Python to understand datasets and validate accuracy before modeling. Developed AI-based customer-agent pairing models leveraging Afiniti’s statistical methods to optimize interactions. Collaborated cross-functionally with data engineers, product teams, and client services to ensure smooth deployment and operation of AI solutions, maintaining strong client satisfaction.

Research Associate at Information Technology University

April 30, 2021 - October 17, 2025

Led research on cross-region counting from satellite imagery. Implemented domain adaptation techniques to minimize domain gap (ranking within an image, ranking across images, output-space adaptation). Actively collected and annotated a new dataset of approximately 5000 satellite images. Published findings in a peer-reviewed venue (NCAA Journal).

Program Coordinator at Riphah International University

September 14, 2018 - October 15, 2019

Executed department targets and coordinated finance-related matters. Managed classes, attendance, and timetables; handled Pakistan Engineering Council requirements. Prepared timetables, managed examination processes, and dissemination of mid-term results. Managed admission campaigns and addressed queries from students and parents.