Muntazir Abbas

Full-stack Developer

Objective:

Muntazir Abbas is an experienced Full-Stack Developer with over 5 years of expertise in designing and developing robust applications across a wide range of technologies. He has successfully delivered numerous web-based solutions, system integrations, data migrations, conversions, and data-driven platforms. With a strong balance of hands-on development and technical leadership, Muntazir consistently aligns modern technologies with business objectives to build scalable, efficient, and high-performance solutions. He stays current with emerging tools and frameworks to ensure best-in-class implementation.

Full-Stack Developer | Technology Architect
2025 – Present
CritiCoach.com

  • Designed and developed an AI-driven educational platform in under three months, now deployed in universities.

  • Implemented prompt engineering strategies and integrated ChatGPT API to enhance app interactions.

  • Deployed the application on Amazon Lightsail for cost efficiency and integrated Mailgun for notifications.

  • Built a responsive frontend in React and a backend API in Flask with PostgreSQL, Gunicorn, and NGINX.
    Technologies: Amazon Web Services (AWS), Amazon Lightsail, PostgreSQL, Python 3, Bash, React, Flask API, Gunicorn, NGINX, ChatGPT API, Prompt Engineering


Full-Stack Developer | Data-Driven Applications
2022 – 2023
Open Practice Solutions

  • Developed a parameterized ETL system to fetch data from multiple sources into a central reporting database.

  • Automated batch processing using AWS Lambda and Step Functions with error handling and notifications.

  • Built data visualization dashboards in Amazon QuickSight to present actionable insights for stakeholders.

  • Ensured seamless integration of backend pipelines with frontend dashboards for real-time reporting.
    Technologies: Python, SQL, Redshift, Amazon QuickSight, AWS Lambda, AWS Step Functions, Amazon S3, Data Migration, Data Modeling, Backend Development, Frontend Development


Full-Stack Developer | Data & Application Integration
2020 – 2022
Pfizer

  • Developed multiple ETLs to move data from Redshift to Snowflake, PostgreSQL, and Neo4j for complex relational mapping.

  • Built backend logic for fault-tolerant data processing with automated error handling and notifications.

  • Developed and optimized search functionality using Elasticsearch for multi-language datasets.

  • Designed UI-integrated data models to support capacity planning, schedule optimization, and quality assurance applications.
    Technologies: Python, R, SQL, Redshift, PostgreSQL, Snowflake, Neo4j, Elasticsearch, Node.js, Kubernetes, Apache Airflow, Data Modeling, Backend Development, Frontend Development

Master of Science (M.S.) in Computer Science
2010 – 2012
National University of Sciences & Technology (NUST), Pakistan

  • Specialized in Software Engineering, Data Structures, and Web Application Development.

  • Thesis focused on scalable web-based applications and cloud integration.


Bachelor of Science (B.S.) in Information Technology
2004 – 2008
University of Karachi, Pakistan

  • Covered full-stack development, database design, and system architecture.

  • Completed projects in web application development using Python and JavaScript frameworks.


Diploma in Cloud & Web Technologies
2013 – 2014
Coursera / Online Certification

  • Focused on AWS cloud services, React, Flask, and DevOps practices.

  • Implemented end-to-end web applications with modern cloud deployment techniques.

Programming & Scripting: Python, JavaScript (ES6+), Node.js, R, Bash, SQL, HTML5, CSS3

Frontend Development: React, Redux, Bootstrap, Material-UI, Responsive Design, UI/UX Implementation

Backend Development: Flask, Express.js, RESTful APIs, GraphQL, Gunicorn, NGINX

Databases & Data Management: PostgreSQL, MySQL, Snowflake, Redshift, Neo4j, Oracle, Data Modeling, Data Migration, ETL

Cloud & DevOps: Amazon Web Services (AWS), AWS Lambda, Amazon Lightsail, S3, Step Functions, Docker, Kubernetes, CI/CD Pipelines

Data & Analytics: Data Visualization, Amazon QuickSight, Elasticsearch, Apache Airflow, Data Warehousing, Big Data Integration

AI & Emerging Tech: ChatGPT API, Prompt Engineering, AI Integration, Machine Learning Fundamentals

Tools & IDEs: Git/GitHub, DataGrip, Visual Studio, Jupyter Notebook, Splunk, Atom

Soft Skills: Technical Leadership, Application Architecture, Agile & Scrum Methodologies, Problem Solving, Scalable System Design