Summary of Career
1. Dynamic Full Stack Web Developer and Web Designer with 4+ years of experience crafting responsive web applications.
2. Proficient in front-end (React, HTML, CSS) and back-end (Spring Boot, Java, Python, SQL, REST APIs) development.
3. Successfully optimized API response times by 20% and improved app performance by 35% through SQL query optimization.
4. Adept at building visually stunning websites, maintaining robust systems, and enhancing cross-platform compatibility.
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Experience as Jr. Software Engineer
COGNIZANT TECHNOLOGY SOLUTIONS
01 February 2021
04 May 2023
– Reduced average API response time by 20% through SQL query optimization and indexing using SQL Server,
significantly enhancing web platform performance for over 100,000 users.
– Developed 5+ RESTful APIs using Spring Boot, Python, and Node.js for microservices, seamlessly integrating
with React front-ends in full-stack web applications.
– Migrated over 3 legacy applications to modern Spring Boot and Node.js architectures, reducing system complexity
by 40% and improving web application maintainability.
– Accelerated contract approval by 3x through secure digital signature workflows, integrating backend services in
Python and Node.js for efficient data handling.
– Digitized physical forms into interactive digital workflows, improving data accuracy and reducing manual processing
time by 50% using full-stack technologies (React, Node.js, Python).
Experience as Backend Developer (Freelance)
MicroMap IT and GIS Consultancy
04 June 2023
To date
–Maintained and optimized backend systems for MicroMap, UAE, ensuring high availability for web applications.
– Improved web application performance by 35% through SQL query optimization and schema upgrades, ensuring
efficient data retrieval.
– Automated data processing workflows by 15% using Python scripting, enhancing efficiency for various system
operations.
Bachelor 01 March 2020
Bachelor of Engineering in Computer Science, First ClassOther 01 February 2025
Douglas College Post-Degree Diploma in Data Analytics, GPA: 3.58ETL and Data Pipelines with Shell, Airflow and Kafka
Data Engineering Foundations
Learning Kubernetes
Docker Foundations Professional Certificate