Senior Software Engineer with Cloud & AI Expertise

Aldi Fahrezi

SENIOR SOFTWARE ENGINEER

425-***-**** ***********.****@*****.*** Seattle, WA https://linkedin.com/in/aldifahrezi PROFESSIONAL SUMMARY

Senior Software Engineer with 8+ years of experience building scalable, full-stack web applications, backend systems, and AI-powered platforms. Skilled in distributed systems, cloud infrastructure, and foundation model optimization. Experienced in frontend and backend development, creating seamless, user-friendly web interfaces while architecting reliable, high-performance backend services. Passionate about mentoring engineers, driving technical strategy, and building innovative solutions that scale globally. WORK EXPERIENCE

Senior Software Engineer Google Seattle, WA Mar 2021 – Present

• Contribute to the development of BigQuery Omni, enabling enterprises to run the BigQuery analytics engine across AWS and Azure without migrating datasets, building distributed backend services in C++, Java, Go, and Python supporting petabyte-scale analytics workloads.

• Improve components of the Dremel-based distributed query execution pipeline, optimizing query scheduling and data locality to reduce query latency by 15–20% for large analytical workloads running on Google Cloud.

• Work with research and infrastructure teams on Google’s Flood Forecasting system, developing ML data pipelines that process terabytes of weather forecasts, satellite imagery, and hydrological sensor data daily.

• Build scalable machine learning workflows using Python, TensorFlow, Apache Beam, and BigQuery, enabling distributed training and evaluation of time-series forecasting models used for large-scale environmental prediction systems.

• Develop backend services and APIs delivering prediction results and analytics outputs to visualization and alerting systems supporting real-time monitoring for multiple geographic regions.

• Design and implement internal full-stack monitoring tools used by engineering teams to track distributed system metrics and ML model performance, building dashboards with React, JavaScript, and Python APIs used by 50+ engineers across multiple teams.

• Build telemetry ingestion services and analytics pipelines using Pub/Sub, Apache Beam, and BigQuery, processing billions of infrastructure events per day to support large-scale observability.

• Enhance reliability and operational visibility of production systems using Docker, Kubernetes, and Google Cloud Operations (Stackdriver), improving incident detection and reducing mean-time-to- diagnosis for distributed services.

• Collaborate with product managers, research scientists, and cross-functional engineering teams across multiple global teams to design scalable architectures and deliver production-ready systems.

• Mentor 4+ junior engineers through technical design reviews, code reviews, and architecture discussions, improving engineering quality and development velocity. Software Engineer Google Singapore Apr 2019 – Mar 2021

• Helped build backend services supporting the rapid growth of Google Pay in India, implementing microservices for real-time payment processing, transaction orchestration, and ledger management.

• Developed distributed backend systems using Java, Go, Node.js, Python, and gRPC, enabling reliable and low-latency payment transactions for millions of daily users.

• Designed event-driven data pipelines using Pub/Sub and Kafka to process high-volume payment events exceeding hundreds of millions of messages daily for analytics and fraud detection.

• Built internal analytics dashboards and monitoring tools using React and JavaScript, enabling engineers to visualize payment system metrics and operational health.

• Implemented large-scale data processing pipelines using Apache Beam, Dataflow, and BigQuery to support analytics workloads for payment and cloud infrastructure teams.

• Refined database performance and reliability using Spanner, Bigtable, and SQL optimization, reducing service latency for high-traffic payment systems by ~20%. Head of Data Science SIG RISTEK, Universitas Indonesia Jakarta, Indonesia Jan 2018 – Dec 2018

• Led a team of 20+ students working on applied machine learning and data science projects using Python, Scikit-learn, and data visualization tools.

• Guided development of 5+ data-driven web applications and dashboards using Python (Flask), JavaScript, and HTML/CSS to visualize machine learning results.

• Mentored members on machine learning algorithms, data processing, and full-stack web development.

• Organized workshops and technical training sessions reaching 100+ students focused on AI, software engineering, and data science tools.

TECHNICAL SKILLS

Programming & Development: C++, Python, Node.js, Golang, Java, C#, .Net, Rust, JavaScript, React, Scrapy, REST APIs, Microservices

Full-Stack Web Development: Frontend UI/UX development, responsive design, dashboard creation, backend integration

Frameworks: Django, Nest, Laravel, FastAPI, Flask, Ruby on Rails Cloud & Backend: Google Cloud Platform, Kubernetes, Distributed Systems, CI/CD pipelines, AWS, Docker AI & ML: Federated Learning, On-Device AI, Foundation Model Fine-Tuning, AI Agent Evaluation, RAG, LangChain

Software Engineering Practices: System Architecture, Code Review, Agile/Scrum, Testing & Automation Leadership & Collaboration: Mentoring, Project Management, Cross-Functional Teamwork Problem Solving: Competitive Programming, Algorithm Design, Optimization EDUCATION

BACHELOR’S DEGREE Computer Science University of Indonesia 2015 – 2019

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