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Muhammad Ravie Haryansyah

+6281806122365 - haryansyah.person.id@gmail.com - linkedin.com/in/study-hary-id - study-hary-id.github.io

Managed inbound operations of approximately 300 tons and 900 pallets per day in a cold storage warehouse, maintaining 98% inventory record accuracy.
Coordinated with customer PICs and Customer Care teams to ensure 100% of inbound goods were stored in compliance with cold storage temperature standards and SOPs.
Handled festive peak operations by managing 75+ vehicles per day for inbound and outbound activities leveraging 20 warehouse gates, while consistently meeting operational SLA targets.
Ensured smooth material flow, availability of putaway locations, and administrative accuracy despite a 200% increase in volume compared to normal operations.
Prioritized inbound and outbound activities during peak hours to maintain efficient distribution flow and prevent bottlenecks at loading dock areas.

Developed a geolocation-enabled Inventory Management System on Odoo, improving inventory tracking accuracy by up to 60–70% across distributed locations.
Built custom Odoo plugins to automate inventory movement and validation, reducing manual stock reconciliation time by 50%.

Digitized attendance, leave, and employee management workflows, reducing manual HR processes by up to 40% and improving operational efficiency.
Collaborated with HR and management stakeholders to deliver 10+ production features within defined timelines, increasing system adoption to 90% of HR users.

Developed a secure Laravel-based approval system for Bank Indonesia, automating multi-level authorization workflows and reducing approval processing time by up to 50% while meeting strict banking security and compliance standards.
Implemented comprehensive audit logs and approval histories, enabling full traceability for internal reviews and regulatory audits with 100% approval accountability.

Architected and implemented a comprehensive full-stack fishing e-commerce and community platform using a hybrid backend architecture (Node.js and PHP) and a cross-platform mobile application built with React Native.
Designed and integrated complex core features, including a fishing gear marketplace, booking systems for fishing locations and equipment rentals, fishing equipment repair, and live streaming capabilities.
Implemented a real-time location detection module to help users discover nearby fishing spots, processing real-time GPS data with location queries under 200 ms.
Built a scalable WebRTC signaling infrastructure server for SDP/ICE exchange and session orchestration, achieving sub-300 ms signaling latency and maintaining 99% connection success rate for real-time session establishment.
Optimized distributed media workflows and throughput, reducing end-to-end media latency by 30–40% and improving connection stability for 100+ simultaneous active users across variable network conditions.

Implemented and managed low-latency real-time data flow using Socket.io to deliver live courier status updates and tracking, improving operational efficiency and accuracy.
Integrated Google Maps API on the backend to optimize routing and calculate estimated time of arrival (ETA) using real-time location and traffic data, improving distribution efficiency, location accuracy and accelerating delivery times.
Developed a Progressive Web App utilizing Service Workers to deliver fast, lightweight, cross-device access, offline functionality, and push notifications, in a mobile device without app store installation.
Built, optimized, and integrated an internal real-time chat application using Node.js and Socket.io, ensuring 99% uptime and enhancing team communication efficiency across internal workflows.
Developed a responsive and lightweight web interface using HTML, CSS, and JavaScript for ease of use.

Semantic Segmentation: Paint the pixels of environments in an image on project Tsuki Lanes 2
2D Box Annotation: Label objects in an image by drawing boxes on project Lucid Box Trafficlightbulbs
Video Box Annotation & Video Polygon Annotation: Track objects in a video by drawing boxes and polygons
- Swan Longrange Videobox
- Zebra Polygonlinking Static Objects
Lidar Annotation & Lidar Segmentation: Draw boxes/cuboid around points, label objects by drawing polygons, and paint the pixels and line in a 3D lidar scene
- Llama Cuboid, Falcon Longrange, Falcon Extended Range, Zebra Lidar Static, Official Bee Lidar Group, Bee Missing Objects Ghosts Group, Bee Missing Objects Statics Group, Bee Missing Objects Vehicles Group, Bee 2 D Lidar Vehicles Group, Bee Missing Objects Pedestrians Group, Mammoth Lidar Group

Server Infrastructure Basics, Udemy - Apr 2024
Google Workspace (G Suite) Ultimate Guide, Udemy - Apr 2024
Complete Progressive Web App Bootcamp from Udemy, Udemy - Jul 2022
React Native Expo for Multiplatform Mobile App Developments, Udemy - Jul 2022
Learn Basics of Web Design HTML CSS and Bootstrap, Udemy - Jun 2022
Install NGINX, PHP, MySQL, SSL & WordPress on Ubuntu 18.04, Udemy - Jun 2022
Create an Image Upload Web App with Python and Django, Udemy - Mar 2022
Belajar Back-end pemula dengan JavaScript, Dicoding - Jul 2021
Belajar Dasar Pemrograman JavaScript, Dicoding - Jun 2021
AWS Cloud Practitioner Essentials, Dicoding - Jun 2021
JavaScript & jQuery - Certification Course for Beginners, Udemy - Mar 2021
HTML & CSS - Certification Course for Beginners, Udemy - Mar 2021
SQL Course, Progate – Feb 2021
Python Course, Progate – Dec 2020
Command Line Course, Progate – Dec 2020

Bahasa Pemrograman: HTML/CSS/JS, Go, PHP, Java, Kotlin, Python, TypeScript

Framework: Express.js, Hapi.js, Nest, React, WebRTC, PeerJS, Socket.io, Odoo, Flask, Django, Laravel, Bootstrap, Tailwind

Database: MongoDB, Redis, SQLite, MySQL, PostgreSQL

Tools: GCP, AWS, Git, GitHub, Docker, Jenkins

Methodology: Agile, XP, SDLC, Scrum, Kanban, Test-Driven Development, Event-Driven Development, Object-Oriented Architecture