Moh. Imam Rosyidi

Part of the Service team in a 4-person squad responsible for marketplace integrations across 12 channels (Shopee, TikTok Shop, Lazada, Blibli, and others). The team owns the SDK consumed by all other internal teams and acts as the primary liaison between Jubelio and marketplace partners.

• Built and maintained marketplace integrations end-to-end covering partner API flows, webhook handling, authentication, and SDK delivery to internal teams (inventory, catalog, etc.).
• Owned real-time order synchronization across 12 channels, a revenue-critical system processing up to 2 million orders on peak twin-date events, including active monitoring during those events.
• Delivered new integrations for Lazada Choice and Plugo, and led the TikTok API migration from v1 to v2 handling major breaking changes across request flows and response structures.
• Implemented a Redis-based queue to manage rate limiting across partner APIs, reducing unnecessary requests and preventing too-many-request errors.
• Optimized database performance through caching strategies and read replica implementation for read-heavy operations.
• Fixed a RabbitMQ bottleneck where the internal module lacked single-connection support for multi-channel processing.
• Contributed to designing a new order integration architecture split by tenant tier based on order volume, improving scalability.
• Migrated services to a monorepo structure and mentored one junior engineer.

Technologies: JavaScript, TypeScript, C#, React.js, Next.js, Hapi.js, Fastify, ASP.NET Core, PostgreSQL, Redis, MongoDB, Grafana, Kibana, Rancher, Docker, Kubernetes, Jenkins, NX Monorepo, ClickHouse

Built GIS-based products from scratch as a fullstack engineer, working in a small team with direct involvement from the CEO and manager.

Assisted 32 students across 8 practicum sessions in computational physics, covering programming fundamentals, numerical methods, and physics simulations using MATLAB.

• Guided 32 students through programming fundamentals and numerical methods applied to physics problems using MATLAB.
• Evaluated students’ understanding through quizzes and assessments in each of the 8 sessions.
• Reviewed and provided detailed feedback on practicum reports, emphasizing numerical method concepts, algorithm design, and programming implementation.

Reproduced and extended the methodology from Zhuo et al. (2018) on bandgap energy prediction using a different dataset of inorganic compounds. Applied RFE to reduce 286 features down to 65 most significant material properties, then benchmarked multiple models. Random Forest achieved the best result at R² = 0.94.

• Reproduced the methodology from Zhuo et al. (2018) on bandgap energy prediction using a different inorganic compounds dataset.
• Processed and analyzed 286 material features, applying Recursive Feature Elimination (RFE) to identify the 65 most significant attributes.
• Benchmarked multiple models including Linear Regression, ANN, Extra Trees, and Random Forest, achieving best performance with Random Forest at R² = 0.94.

Technologies: Python, TensorFlow, Scikit-learn, Pandas

• Tutored students in mathematical physics, including vector calculus, differential equations, and linear algebra.
• Provided step-by-step exercises and solutions to strengthen students' problem-solving skills in mathematical physics.
• Evaluated students' understanding through quizzes and assessments.

• Managed and scheduled the practicum assistance team.
• Ensured compliance with standard laboratory procedures and safety protocols.
• Introduced students to lab equipment operation and fundamental physics concepts.
• Assessed students' understanding through quizzes and evaluations.

GPA: 3.6

Focused on computational physics, implementing numerical solutions using Fortran, MATLAB, and Python. Thesis titled 'Analysis of Electron Behavior in Periodic Potential with Unified Electric Field' applied the filter method to numerically demonstrate Wannier-Stark localization, proving that electron distribution localizes to a single lattice site under extreme electric field perturbation. Actively competed in national science olympiads and led several student organizations.

A non-formal boarding Islamic education program running concurrently with undergraduate studies, covering Arabic, Islamic law, classical texts, and contemporary fiqh. Active in the boarding school student organization focused on interdisciplinary scientific discussions grounded in Islamic values.

GPA: 98

Concentrated in Mathematics and Natural Sciences with a strong focus on physics, actively competing in regional and national olympiads.

A web-based GIS platform for assessing economic potential using a custom grid-based scoring algorithm that weights POI data (positive and negative factors), normalized to a 0-1 scale per selected administrative area. Spatial data pipeline handled millions of POIs and 100k+ polygons, including population disaggregation from coarse to fine grid resolution using building density data. Built with an interactive map UI featuring free-text search, administrative area filtering, and location-specific accessibility analysis.

Technologies: Node.js, Express.js, React.js, Leaflet.js, PostGIS, Python, MongoDB, GCP

Built a spatial ML pipeline to predict minimarket visitor counts using walking-distance isolines instead of simple radius buffers, a more realistic approach to POI accessibility. Trained and evaluated multiple models (Linear Regression, SVM, KNN, Elastic Net) on 1,369 records across Alfamart and Indomaret locations in Jakarta. SVM achieved the best result at R² = 86.9%, with schools, bus stops, and isodistance range emerging as the most influential features. Recognized as Top 20 out of 100 shortlisted teams in a national competition by Kominfo.

Technologies: Python, ScikitLearn, PostGIS

A CMS platform for creating, editing, previewing, and publishing digital wedding invitations with payment integration. Led a 3-person team end-to-end: system architecture design, client communication, feature scoping, task management via JIRA, and deployment. Built using Next.js for both frontend and backend, MongoDB for data, and Xendit for payments.

Technologies: Next.js, React.js, Zustand, MongoDB, Xendit, JIRA

A mobile app for dentists to diagnose dental conditions, assess individual teeth, and determine severity levels, paired with a web admin dashboard for monitoring patient progress and managing app users. Live at Puskesmas Cilandak, South Jakarta as part of the UKGM program since 2022, with 400+ patients handled. Served as both technical lead and client-facing contact throughout development.

Technologies: React.js, Flutter, Dart, Golang, Firebase, MongoDB

A freelance GIS web application for a property developer to monitor the progress of a residential cluster with hundreds of units. Each house unit is represented as a polygon on the map with an embedded bar chart showing its current status across construction, sales, and handover stages — giving the developer a real-time spatial overview of the entire project.

Technologies: React.js, Express.js, Node.js, MongoDB, Firebase

Reproduced and extended the methodology from Zhuo et al. (2018) on bandgap energy prediction using a different dataset of inorganic compounds. Applied Recursive Feature Elimination (RFE) to reduce 286 features to the 65 most significant material properties, then benchmarked Linear Regression, ANN, Extra Trees, and Random Forest. Random Forest achieved the best result at R² = 0.94.

Technologies: Python, Scikit-learn, TensorFlow, Pandas

Undergraduate thesis project applying the filter method — a numerical technique developed by the advisor — to analyze electron behavior in a periodic potential under an applied electric field. Numerically demonstrated Wannier-Stark localization: under extreme electric field perturbation, the electron distribution localizes to a single lattice site rather than propagating freely through the crystal.

Technologies: Python, Fortran, NumPy

A university project that calculates Islamic prayer times by deriving the astronomical formula for the sun's angle relative to Earth from first principles, rather than relying on existing libraries. Implemented and visualized the numerical solution in MATLAB.

Technologies: MATLAB

A university project building a MATLAB GUI that provides an interface for multiple X-ray image reconstruction methods, allowing users to apply and compare different reconstruction algorithms through a visual interface.

Technologies: MATLAB

• Founded and led an Achievement Incubator program, mentoring boarding school students that resulted in five award-winning achievements across various scientific competitions.
• Coordinated interdisciplinary study groups spanning Islamic Studies, Economics, Natural Sciences, Engineering, Law, Computer Science, and Social Politics.
• Organized and moderated scientific forums addressing national issues from multidisciplinary perspectives.

• Supervised and coordinated a graphic design team, developing SOPs for content strategy, scheduling, and collaboration workflows.
• Designed and published over 40 posters for competitions, events, and research updates reaching the Mathematics and Natural Sciences faculty audience.
• Managed digital media across the organization's website, Instagram, and YouTube.

• Led a 30-person committee to support new students entering the PKM research program.
• Organized workshops on proposal writing, research methodology, and presentation skills.
• Mentored 20 student teams to compete at the university level, achieving a two-stage advancement in competition ranking compared to the previous year.

• Co-founded a zero-capital community initiative that collected paper waste from campus activities, sold it to a waste bank, and reinvested proceeds into a local food vendor partnership.
• Created income opportunities for a local waste collector and grew the vendor's business by connecting them to campus events as a catering partner.
• Channeled profits into recurring social activities across Malang City, including visits to orphanages, cancer patients, and meals for the homeless around Alun-alun Malang.

• Collected and distributed donations to affected communities.
• Coordinated with local authorities and organizations to support efficient aid distribution and long-term recovery.
• Organized workshops and community events to help children and families build resilience.

• Supported mosque operations through weekly cleaning and maintenance activities.
• Managed media and communication for public events to ensure effective community outreach.