# Joe Pereira > Technology Leader in Semiconductor, ML, AI, Ad Tech, Media.Enabled B$+ exits and large scale deployments in multi-modal search, recommendation,ad tech. Built teams and deep tech products from scratch across verticals. Location: San Francisco Bay Area, United States Profile: https://flows.cv/joepereira AI transformation experience from innovation and practice across verticals. Entrepreneur/Advisor for Data,AI, Growth. . Key contributor and enabler at 2 B$ exits. Led turn around 2 significant tech companies. Connect with me to collaborate, create solutions in Semiconductor, AdTech, health, content. I bring the best out of teams and existing assets. I have a passion for solving complex problems and delivering robust and efficient solutions that create value for our clients and partners. Consistently delivered performance and cost efficiency in solutions using ML/AI, and team building. Recently delivered more than 100% performance improvement for DSP ad bidding. Have delivered major PPA (area, power) improvements along with methodology and workflows. I lead the development and implementation of innovative AI solutions for advertising, big data, media understanding, personalization, and optimization. I have over 20 years of experience in applying algorithms and AI in practice, delivering robust and efficient big data, machine learning, and streaming solutions for various domains and industries. I have also maintained a deep interest and developments in healthcare, security, and hardware/semiconductors. I am also passionate about mentoring students, developers, and startups on AI architectures, best practices, and challenges. I have also won the Network World Entrepreneur Contest and filed multiple patents in content search and video identification. I enjoy working with cutting-edge technologies, such as Spark, Flink, ElasticSearch, modeling across various verticals, and applying them to solve real-world problems in data center connectivity, cache, storage, ad bidding (demand side platform), video, audio, and text analysis and recommendations. ## Work Experience ### Advisor @ Various Startups Jan 2024 – Present Incubating AI projects ### Head : VP / ML and Data Science @ Aarki Jan 2023 – Jan 2024 | San Francisco Bay Area DSP Performance via System bid optimization, user models, creative personalization, user acquisition models. Led creative personalization and quality checks projects with generative AI and computer vision. Delivered 100%+ ROI performance improvements with team. ### Founder, Architect: genAI, medical ASR, TV ACR, metadata @ Streamn.ai Jan 2020 – Jan 2023 ### Architect, Advisor in genAI, Big Data, Recommendations, NLP @ Independent Jan 2019 – Jan 2023 Technology: Solutions and Strategy. Applying best Cloud and Big Data Tools (Spark, Data Lake) and NLP, CV, Recommendations open source to deliver efficient solutions. Collaborating on solutions with Algorithms and AI. Research & development in Media Understanding, Information Retrieval, and Recommendations with Big Data & Streaming. Mentoring students, developers and startups on AI architectures. Computer Vision, Natural Language Processing, Big Data, Streaming, Audio, Time Series. Celebrating open-source! ### Lead : Recommendation and TV Metadata @ Alphonso Inc. Jan 2017 – Jan 2019 | Mountain View, CA Products/Platforms: -Recommender Systems at scale: -- Architecture, Strategy for Recommendations and Personalization -- Develop models, relevant scoring, contextual data -- Real time recommendations -- Streaming data, real time scoring -Optimized Data pipelines for Advertising and TV Data. -Metadata Generation with NLP models -Define solutions for Video Understanding, Identity Graph ### Technology Lead: Advertisement metadata, Advertising Platform solutions, NLP and AI @ Gracenote Jan 2015 – Jan 2017 | Emeryville Deliver TV Commercial Detection and Monitoring including Ad Harvesting service with multi-functional and multi-site teams. Solution processed TV Video Streams to detect new commercials and efficiently produced rich metadata for labeling commercials using Machine Learning, NLP, statistics - Planned workflow improvements with Content team. Delivered 10x+ efficiency improvements - Co-ordinated feature requests and implementation schedules across Korea, US, and Product - Cloud APIs Application: Speech to Text, Entity Recognition, Vision and WebSearch CloudAPIs - Automatic Metadata from Ad Videos using Cloud APIs, Natural Language Processing (NLP) - Delivered accurate, efficient and fast turnaround of Metadata tagging of TV Ad Videos TV Ad Analytics: For Machine Learning , NLP (gensim, Tensorflow, spacy) for Automatic Ad Metadata Tagging; Analysis of realtime TV Streams. Automatic Media / Video Understanding. Data Science: to model viewer behavior and extract TV insights, audience data; and data stream processing workflows (real-time). Using Spark, Hive, SQL. ElasticSearch, Flink Collaboration across divisions and regions: for Ad Video Analysis, Audience Measurement and Machine Learning. AWS, Python ### Founder and Chief Architect: Multi modal ACR Content Search, AI, Retrieval @ Zeitera acquired by Gracenote Jan 2006 – Jan 2015 | San Francisco Bay Area With team delivered large scale content recognition systems for audio, video, image and logo. Prototyped systems, productized workflows, tooling methods, and scaling methods for content recognition systems, customer deployments using Machine Learning, Computer Vision, Search and Feature Engineering. Machine Learning for logo and text recognition in natural images. Caffe, OpenCV, OCR. NLP. Computer Vision Advanced and accurate video content recognition with affine image interest regions and info-theoretic algorithms. Develop POC and production systems for Content Retrieval (ACR) at scale for Video, Logo / Brand, Audio and Image Search Systems. In essence all varieties of content recognition and discovery. System (Distributed) Architecture and Product Strategy. AWS platform, Scaling. ### Silicon Design Manager @ NetLogic Microsystems Jan 1999 – Jan 2004 | Mountain View, California, United States Engineering Lead Silicon Innovations: VLSI Custom Design, Architecture and Delivering Yield, Testability in Production for Network Search Engines. Delivered company-transforming silicon solutions adopted by Cisco and other industry leaders. Authored and secured over 40+ patents in high-performance silicon and networking technologies. Spearheaded advancements in silicon design and deployment strategies that drove significant business growth. ### Senior Architect, EDA Methodology @ Synopsys Inc Jan 1995 – Jan 1999 | Bengaluru, Karnataka, India Telecom IP Development Designed and optimized methodologies for layout, timing, and low-power silicon solutions. Enhanced the EDA workflow to streamline design processes for advanced semiconductor nodes. Solutions Architect for Tape-Outs through Synthesis, Floorplan, Place and Route, Timeing, Low Power, DFT. ## Education ### M.Tech in Comunications Indian Institute of Technology, Kharagpur ### B.Tech in Electronics Savitribai Phule Pune University ### High School Loyola HS, Margao ### Higher Secondary in Science St Xavier's High School, Mapusa, Goa ## Contact & Social - LinkedIn: https://linkedin.com/in/joepereira - Portfolio: http://www.gracenote.com - Portfolio: https://www.google.com/amp/www.networkworld.com/article/2323129/software/in-the-chips.amp.html --- Source: https://flows.cv/joepereira JSON Resume: https://flows.cv/joepereira/resume.json Last updated: 2026-04-13