Muhammad Adib Imtiyazi Email & Phone Number

Jakarta, Indonesia

Collaborating with stakeholders, data scientist leads, external teams, and various other contributors to design, develop, and maintain a high-quality Data Science environment within tiket.com's Data Team.Key Responsibilities:● Delivered tiket.com's first real-time session-based recommendation engine for the Hotel Search module using Kafka and Dataflow on GCP, significantly enhancing features freshness and conversion performance.● Developed a Machine Learning-based Search… Show more Collaborating with stakeholders, data scientist leads, external teams, and various other contributors to design, develop, and maintain a high-quality Data Science environment within tiket.com's Data Team.Key Responsibilities:● Delivered tiket.com's first real-time session-based recommendation engine for the Hotel Search module using Kafka and Dataflow on GCP, significantly enhancing features freshness and conversion performance.● Developed a Machine Learning-based Search Result Page Recommendation system for Hotel and Flight products, consistently driving improvements in key metrics such as Conversion Rate (CVR) and Gross Booking Value (GBV) while ensuring a 99% SLA.● Led the enhancement of MLOps infrastructure, advancing capabilities in model versioning, training, experimentation, and deployment. Reduced deployment time by up to 75% with tools like Kubeflow, MLFlow, Jenkins, and Docker.● Directed the creation of a dynamic pricing engine for Hotel and Flight verticals, achieving high standards for data availability and delivering substantial business value.● Co-led research on implementing Large Language Models (LLMs) for online travel use cases, utilizing technologies like Vertex Vector DB, Gemini/Bard, RAG, and LangChain.● Optimized tiket.com's computer vision system architecture, boosting performance throughput by 300% and cutting infrastructure costs by up to 90%, yielding significant operational savings.● Collaborated on A/B testing infrastructure to ensure SLA compliance throughout testing, supporting Data Scientists and stakeholders with end-to-end architecture.● Managed machine learning project deliveries following SDLC and MLOps protocols, covering microservices, data pipelines, databases, caching, monitoring, and alerting systems.● Partnered with Data Scientists to translate business needs into scalable machine learning solutions, driving both operational and financial outcomes. Show less

Jakarta, Indonesia

Working together with stakeholders to design, develop, and maintain Data Science environment at tiket.com's Data TeamAs part of earliest member of Machine Learning Engineer team, I spend so much of my time to create a suitable environment to our Data Science team so they can focus on solving tiket.com problems rapidly and easilyMy coverage on this job including but not limited to:● Defining data science model development and deployment workflow● Testing, developing… Show more Working together with stakeholders to design, develop, and maintain Data Science environment at tiket.com's Data TeamAs part of earliest member of Machine Learning Engineer team, I spend so much of my time to create a suitable environment to our Data Science team so they can focus on solving tiket.com problems rapidly and easilyMy coverage on this job including but not limited to:● Defining data science model development and deployment workflow● Testing, developing, planning, and maintaining machine learning platform for Data Science team to do experiment● Defining best practice for our use case on model pipelining and deployment● Plan, develop, and leading an engineer team for our internal code library development project to ease up so many task on data science model development and deployment process, including model operations, metadata, cache, platforms, and many others● Design and building scalable core service for our user personalization projects which has massive impact to tiket.com's monthly GBV Show less

Greater Jakarta Area, Indonesia

Greater Jakarta Area, Indonesia

Greater Jakarta Area, Indonesia

A dedicated unit under Diskominfotik DKI Jakarta that specialized in processing all information about Jakarta through Big Data then present it as Public Information and Reports as base of strategic decision makings of all stakeholders in Jakarta● Maintain hadoop bases Big Data system● Collecting and archiving all data that Related to Jakarta● Develop and modify data pipelines based on needs and future problems● Supporting analysis team through existing data● Develop… Show more A dedicated unit under Diskominfotik DKI Jakarta that specialized in processing all information about Jakarta through Big Data then present it as Public Information and Reports as base of strategic decision makings of all stakeholders in Jakarta● Maintain hadoop bases Big Data system● Collecting and archiving all data that Related to Jakarta● Develop and modify data pipelines based on needs and future problems● Supporting analysis team through existing data● Develop existing Big Data system to tackle future challenges Show less

Bandung

A laboratory under direct supervision of Andry Alamsyah. Mainly focused on data analytics in big data problem using Hadoop architecture● Set up, manage, and operate Cloudera based Hadoop system● Data engineer: process CDR (call detail record) data using Hadoop system