Muhammad Ramzan

Automation and Software engineer with approximately 3 years of experience building React based front-end responsive, React based front-ends and n8n-driven back ends using JavaScript, React.js, Node.js, and Python. Strong RPA background with UiPath and Power Automate, plus deep CRM and enterprise integrations. Skilled in AI and ML workflows for automating complex, unstructured processes.

Software Developer at IMPACT BBDO (2026-04 – Present)

Front-End Developer experienced in building and maintaining responsive, interactive websites using React, HTML, CSS, and JavaScript within a Ghost/Handlebars (HBS) CMS environment. Skilled in developing UI components.

• Built UI components using React.js HTML, SCSS, and JavaScript
• Debugged and resolved UI/UX issues based on visual QA feedback
• Managed builds, deployments, and CRM integrations

Software Engineer at DUOFANKAAR (2025-04 – 2026-03)

Built React front ends and n8n powered back ends, integrating APIs and ML workflows across major CRMs. Delivered AI driven automation features, managed npm builds, and deployed production releases through CPanel.

• Built React front ends with reusable components and API integrations using JavaScript and npm
• Developed n8n and Node.js back ends with ML powered workflows and automation pipelines
• Managed builds, deployments, and CRM integrations through CPanel and REST APIs

RPA Developer at SYBROS TECH (2024-03 – 2025-04)

Position of RPA Team Lead and presented enterprise-grade automations across SAP and non-SAP systems using UiPath, Power Automate, Python, and APIs that wiped out manual work and stabilized core finance and procurement workflows.

• Led RPA team, delivering end-to-end automations for SAP Fiori/HANA and CRMs using UiPath, Python, and APIs
• Built workflows that eliminated manual bottlenecks in finance, procurement, and sales, reducing errors and saving hours
• Managed full project lifecycle, mentoring developers and providing client and university trainings
• Recommendation letter: Click here

Artificial Intelligence Trainee at SAMSUNG INNOVATION (2023-12 – 2023-03)

Applied core ML techniques with Python to preprocess data, build predictive models and extract insights from structured and unstructured datasets.

• Solid ML fundamentals in linear algebra, probability, and statistics, with hands-on Python experience (NumPy, Pandas) for data preprocessing and analysis
• Applied supervised, unsupervised, and NLP techniques to extract actionable insights from structured and unstructured datasets
• Developed and presented a predictive model for Cytokine protein levels in blood, supporting early detection of inflammation-related conditions

Bachelors in Computer Science - BSCS (Honors) in Data Science, Artificial Intelligence, Data Structures, LLMs – University of Central Punjab (2021-06 – 2025-07)

Intermediate of Computer Science - ICS in Computer Science, Maths, Physics – Punjab Group of Colleges (2019-05 – 2021-03)