# Oscar M. > Senior Software Engineer at AdRise Location: San Francisco Bay Area, United States Profile: https://flows.cv/oscarm I’m a software engineer with a diverse background spanning embedded systems, web development, and high-scale distributed ad tech systems. My journey started with hands-on embedded software training, programming ARM microcontrollers in C and C++, and contributing to IoT projects. I then transitioned into web development and content management systems, gaining expertise in JavaScript, TypeScript, and MongoDB. Currently, I focus on building and maintaining scalable, automated systems for ad video processing at AdRise. I work extensively with Elixir, Kubernetes, Postgres, SQL, RabbitMQ, and LLM-based services to improve metadata enrichment, brand detection, transcription, and language detection for high-traffic ad pipelines. I’m passionate about creating efficient, reliable software solutions and continuously improving through collaboration and learning. Whether diving into architecture design or optimizing observability and monitoring, I aim to deliver impactful work that drives business value. ## Work Experience ### Senior Software Engineer @ AdRise, Inc Jan 2024 – Present | San Francisco Bay Area At AdRise, I develop and maintain scalable, high-performance systems within the ad video pipeline, focusing on automated metadata enrichment, brand detection, transcription, language detection, and ad compliance. I work extensively with Elixir, Kubernetes, Postgres, SQL, RabbitMQ, and LLM-based services to build fast, reliable, and automated solutions that support real-time ad processing at scale. I contribute to designing and deploying LLM-powered brand detection, transcription, and language detection services, improving metadata accuracy and ad targeting capabilities. Additionally, I help enhance observability by streamlining dashboards, alerts, and logs to improve system monitoring and incident response. My work also includes supporting the architecture of multi-tenant systems to ensure secure data isolation for multiple partners and collaborating closely with cross-functional teams to develop internal tools and support key business workflows. Key contributions include: - Contributing to LLM-powered brand detection, transcription, and language detection services - Enhancing observability to improve system monitoring and incident response - Supporting multi-tenant architectures for partner data isolation - Collaborating on internal tooling and cross-team projects ### Senior Software Engineer @ Tubi Jan 2022 – Jan 2024 | San Francisco Bay Area As a Software Engineer on Tubi’s Ad Video Processing team, I design and maintain distributed systems that handle high-throughput ad video ingestion, transcoding, and compliance checks at scale. Our systems process over 60,000 requests per minute with high availability, powering the backbone of Tubi’s ad pipeline. I work with Elixir, Kubernetes, and SQL to build reliable services that automatically transcode videos, extract metadata using machine learning models, and rate/block ad creatives based on safety and policy compliance. My role blends backend engineering with infrastructure and automation to ensure ad delivery is fast, scalable, and trustworthy. Key contributions: - Built and scaled distributed systems to handle 60K+ requests/min for ad video processing - Designed automated pipelines for transcoding, metadata extraction, and policy-based filtering - Used Elixir and Kubernetes to deliver high-reliability, low-latency services - Integrated ML-based systems to extract metadata and automate ad safety classification - Improved system observability and reduced false positives in ad blocking through smarter automation and better data tooling ### Software Engineer @ Tubi Jan 2021 – Jan 2022 | San Francisco Bay Area ### Technical Operations Engineer @ Tubi Jan 2020 – Jan 2021 | San Francisco Bay Area As a TechOps Engineer at Tubi, I focused on maintaining and improving our internal content management system (CMS), which supported both frontend and backend operations. My work centered on ensuring that videos from content partners moved efficiently through our ingestion pipeline and became accessible across the organization via the CMS UI. I used JavaScript, TypeScript, and MongoDB to build and support tools that powered editorial workflows, automated content operations, and facilitated collaboration between engineering, content, and product teams. Key contributions: - Maintained and enhanced the CMS used by multiple internal teams to manage and publish content - Ensured reliable video ingestion from content owners into the Tubi pipeline - Developed and debugged CMS features to support cross-functional stakeholders company-wide - Built internal tools to automate processes, reduce manual work, and improve operational efficiency - Collaborated across teams to support large-scale content launches and day-to-day editorial needs ### Content QA Associate @ Tubi Jan 2019 – Jan 2020 | San Francisco Bay Area At Tubi, I worked on ensuring a high-quality viewing experience for millions of users by performing quality assurance on content across the platform. My responsibilities included validating metadata, subtitles, audio/video sync, and regional compliance for thousands of hours of streaming content. I collaborated closely with engineering, content operations, and product teams to identify and report bugs, streamline processes, and maintain platform consistency at scale. Key achievements: - Helped streamline QA workflows to support rapid content growth - Identified and escalated recurring technical issues, contributing to long-term fixes - Ensured quality across diverse content libraries including movies, TV shows, and international titles ### Software Test Engineer @ Bosch Jan 2018 – Jan 2019 | Budapest Responsible for requirements-based Level 1–3 system testing of automated vehicle motion control software. Tasks included defining edge-case test specifications, running vehicle simulations, and developing automated evaluation scripts. Executed test series and delivered detailed reports for software releases. Collaborated within a Scrum team, adhering to agile methodologies throughout the development and testing process. ## Education ### Bachelor's degree in Computer Science Western Governors University ### Embedded Software Engineering Bootcamp in Embedded Software Engineering Green Fox Academy ### Bachelor's degree in Mathematics Hunter College ## Contact & Social - LinkedIn: https://linkedin.com/in/oscar-m-19549568 --- Source: https://flows.cv/oscarm JSON Resume: https://flows.cv/oscarm/resume.json Last updated: 2026-03-23