Mufid Jamaluddin

1) Developed and maintained backend services for Corporate Finance and Accounting at Bank Syariah Indonesia (BSI), improving financial reporting systems. 2) Upgraded legacy PHP applications, improve legacy logic, paralelize Laporan LPS jobs, and explored Golang for enhanced performance and scalability. 3) Optimized SQL query performance for high-traffic systems

- Implemented microservices-based architectures using Golang and Node.js - Developed high-performance APIs integrating RabbitMQ for event-driven processing - Improved system performance by fixing Out-of-Memory (OOM) issues through optimized goroutines and Go channels - Led the integration of Mandiri Livin' backend services and contributed to Sinbad’s OCR-based KTP verification system - Worked with Docker and Kubernetes for service deployment and orchestration

- Technical analysis and implementation of microservices and micro-frontend in Sinbad Seller Center (SSC) - Explore microservices using Domain-Driven Design and Apache Kafka - Offline feature back-end of Sinbad Agent apps

Explore Sinbad e-commerce business, IT Tools, and IT Cloud Infrastructure

- Built chat routing applications and extended KTP OCR functionality using Java and React Native for PT Mandala Multifinance, Tbk - Developed web applications using React.js for PT Kulego Tiga Kreasi, Tbk

Improved system performance and maintained PHP/MySQL applications for business innovation platforms, Innovation Entrepreneurship System (IES)

Outsourced for PT Fujitsu Indonesia: Developed enterprise applications for Toyota Motor Manufacturing Indonesia (TMMIN) and United Tractors, using ASP.NET and SQL Server

Direct Contract: Worked on Material Master Management System (MMMS) for Astra Honda Motor (AHM), integrating SAP and Java-based web services

Developed enterprise application, Smart Dealer Management System, for MPM Motor using ASP.NET and SQL Server

Skills: Software Development, and NLP Thesis: Comparison of Indonesian Sentence BERT and Lexical TF-IDF on Retrieval-Based Question and Answer School Information Chatbot with Vector Space Model and Cosine Similarity (SMAN Situraja Case Study)

Thesis: Aplikasi Penilaian Esai Otomatis Bahasa Indonesia Short essay grading product apps built using K-NN algorithms with 48,39 - 83,84% accuracy supported by Python, ReactJS, Celery Task (queue platform using RabbitMQ)