Firman Panjaitan

A dedicated IT professional with a strong background in Software Engineering (Diploma IV) from Del Institute of Technology. Experienced in software development support, system testing, Product design, and IT support across multiple industries, including banking, consulting, and aviation. Proficient in utilizing various tools and technologies to develop, test, and improve digital systems, with hands-on experience in application testing, performance analysis, and user-centered design using tools such as Figma and Adobe Creative Suite.

Known for a detail-oriented mindset, strong analytical thinking, and adaptability in dynamic environments. Committed to delivering reliable, efficient, and high-quality digital solutions while continuously learning and improving technical and problem-solving skills.

Performance Tester at PT Bank Bank Syariah Indonesia Tbk. (2025-10 – Present)

Banking Industry

• Led cross-functional collaboration to gather prerequisites, define project timelines, and establish SLA objectives for performance testing initiatives.
• Designed and implemented comprehensive performance test strategies aligned with banking system requirements and business goals.
• Developed and optimized performance test scripts using VuGen (Virtual User Generator), ensuring scalability and reusability.
• Executed large-scale performance testing (load, stress, endurance) using remote servers to simulate high concurrent user traffic.
• Conducted API performance validation using Postman to ensure service reliability and response efficiency.
• Monitored end-to-end system performance using Dynatrace, analyzing CPU and memory utilization (min, avg, max) under various load conditions.
• Achieved up to 30% faster response time and reduced error rates during peak load, improving overall system stability and SLA compliance.
• Increased testing efficiency by 25% through optimized scripts and processes, enabling faster release cycles and more reliable deployments.
• Evaluated critical performance metrics including 90th percentile response time, throughput, and error rates to ensure system reliability.
• Identified performance bottlenecks and drove optimization efforts in collaboration with development and infrastructure teams.

QA Manual at PT Adi Data Informatika (2025-01 – 2025-08)

IT company and focusing in providing comprehensive IT Business solutions.

• Executed comprehensive manual testing for web and mobile applications at Adidata Informatika, identifying and reporting critical and major bugs, significantly improving product stability before release.
• Designed and maintained detailed test cases and test scenarios, increasing test coverage and reducing regression issues by approximately 30%.
• Collaborated closely with developers, business analysts, and stakeholders to ensure high-quality IT business solutions, contributing to a 20% faster bug resolution cycle.
• Performed functional, regression, and UAT testing across multiple projects, ensuring 95% defect-free releases aligned with client requirements.
• Improved QA processes by introducing structured test documentation and reporting, enhancing team efficiency and reducing testing time by 25%.

Internship Developer at PT Angkasa Pura II (2023-08 – 2023-12)

• Developed an employee complaint management application at Angkasa Pura II, streamlining internal issue reporting and improving reporting efficiency by 40%.
• Designed and implemented a permit reporting application to optimize permit request handling process, reducing approval turnaround time by 30%.
• Provided IT support for hardware and software issues, resolving technical incidents with an average resolution time improvement of 25%.
• Supported daily operations by troubleshooting employee IT issues, improving system uptime and minimizing workflow disruptions.
• Collaborated with internal teams to gather requirements and ensure application alignment with business needs, increasing user satisfaction by 20%

Machine Learning at Thesis Final Project (2024-01 – 2024-07)

• Collected and processed student data from various sources (GPA, semester credits, background, etc.).
• Performed data preprocessing such as handling missing data, normalization, and feature selection.
• Built a predictive model using Logistic Regression for binary classification (on-time graduation vs. delayed graduation).
• Evaluated model performance using metrics like accuracy, precision, recall, and AUC-ROC.
• Interpreted results and identified key factors affecting on-time graduation.

Bachelor of Software Engineering Technology in Software Engineering – Institut Teknologi Del (2020-08 – 2024-08)