RR

Rajko Radovanovic

AI/infra @ a16z

San Francisco, California

Invests in

Stages:

  • Min Investment:

    $500,000.00
  • Max Investment:

    $40,000,000.00
  • Target Investment:

    $20,000,000.00

Work Experience

  • Partner

    2023

    Partner to: Udio*, Anysphere (Cursor), Braintrust Data (evals / LLM Ops for devs), Stealth Devtool Co (seed), Mistral AI, Luma AI, Black Forest Labs (creators of Flux OSS image models), World Labs (Fei-Fei Li), Sesame AI Partner with and support the most ambitious founders and teams pushing the bounds of artificial intelligence. I also incubated and help run the OSS AI Grant Program, supporting some of the most impactful, non-profit, OSS AI projects Reach out at rradovanovic [at] a16z.com

2023

  • Board Observer

    2023

    Partnered at Seed Round

2023 - 2023

  • Investor and Business Partner

    2023 - 2023

    Partnered at Series A

  • Venture Investor

    2021 - 2023

    Worked closely with the following teams: - Perplexity AI* (consumer-search with LLMs) - Sentry (developer-first debugging & application performance monitoring) - Metabase (open source BI and data visualization) - TimescaleDB (open source time series database) - Weaviate (open source Vector DB) - DeltaStream (stream data processing company) - Stealth* (data infra co at the query planning layer)

  • Enterprise technology team

    2017 - 2021

    - Diligence on growth-stage technology companies across Cybersecurity (e.g. micro-segmentation, EPP/EDR, SWGs, and CASBs), Data Infrastructure (e.g. Apache Arrow, Apache Kafka, dbt, etc.), DevOps tooling, EdTech, Social Media Marketing, and nonprofit sector technology solutions - Study on cloud AI Platforms and architecture trends. Including deep dives on AWS Sagemaker, Azure ML Service, Google Vertex AI, as well as AutoML (e.g. DataRobot), Foundation Models / transfer learning (e.g. OpenAI's GPT-3), Synthetic data, MLOps tooling, and more - Product strategy for a leading big data infrastructure company, in particular for their data streaming (low latency ingestion and analytics) product line - Study on 'The State of the Internet of Things' for a major global software company focusing on customer adoption and value creation challenges - Fintech product strategy for a regional bank. Deep dives in emerging payments-as-a-service space across acquiring, issuance and money movement (e.g. case studies on Stripe, Brex, Finix, Infinicept, Divvy, Affirm, Marqeta, etc.)

2016 - 2016

  • Teaching Fellow: AM 221, Advanced Mathematical Optimization

    2016 - 2016

    Graduate course in linear, convex and combinatorial optimization. Responsibilities included preparing and grading problem sets, as well as holding office hours.