Alzahid Muhasabah@alzahid_muhasabah614
2
Events attended
1
Submissions made
Indonesia
5+ years of experience
About me
I am a Software Quality Assurance Engineer with over 5+ years of experience specializing in automation, system reliability, and large-scale product quality. My expertise spans across both QA Core (platform, tooling, and release systems) and QA for business-critical domains, particularly in push notification and in-app engagement systems. I focus on building scalable QA ecosystems—designing automation frameworks, integrating testing into CI/CD pipelines, and establishing release gating mechanisms to ensure high-quality, reliable product delivery. I have led initiatives that achieved 90% automation coverage for critical flows, reduced regression time by more than 2x, and significantly minimized production risks. Beyond execution, I act as a quality owner for complex, high-impact projects. I work closely with Product Managers and Engineers to define test strategies, identify risks early (shift-left), and ensure seamless feature rollouts. My contributions have supported key business metrics such as DAU, GMV, ROI, and user engagement through rigorous validation of experiments, large-scale migrations, and system optimizations. I am also experienced in release management, leading weekly Android and iOS releases, running bug bash programs, and implementing quality gates that prevent critical issues from reaching production. My approach combines strong technical depth with a high sense of ownership and accountability. Currently, I am focused on evolving QA from a testing function into a strategic partner—driving automation-first quality, improving engineering efficiency, and aligning product quality with measurable business outcomes. I am always open to connecting with professionals who are passionate about building high-quality products at scale.
🤝 Top Collaborators
🤓 Latest Submissions
NAVI AI: AI Navigation Assistant for the Blind
NAVI AI is an innovative Android application specifically designed as a mobility companion for blind and low-vision users. When walking independently, visually impaired individuals often face the risk of colliding with obstacles, struggle to understand their surroundings, and face challenges in memorizing or retracing routes without assistance. NAVI AI addresses these issues by combining artificial intelligence with local on-device processing. The core safety feature is real-time object detection using the phone's camera, powered by YOLOv8n and NCNN. This system estimates distance, tracks movement direction, assesses risk levels (safe/caution/danger), and delivers immediate early warnings via audio without requiring the user to look at the screen. Beyond automatic safety alerts, NAVI AI offers full hands-free control via voice commands. Users can instruct the app to record GPS points into a saved route and request turn-by-turn audio guidance in the future. Integrated with Vision LLMs and AssemblyAI, the app also allows users to ask for scene descriptions, read text via OCR, find specific objects, and save personal conversation memories. NAVI AI's main advantage is its independence from internet connectivity. Through "Offline Mode", all essential safety functions, distance calculation, Text-to-Speech (TTS), and route navigation work 100% offline. User privacy data is strictly stored locally, making it a smart, reliable, safe, and highly private mobility aid.
30 Sep 2026
