Rajko Radovanovic
Investor at Udio
Rajko Radovanovic
Investor at Udio
San Francisco, California
Overview
Work Experience
Investing Partner
2023 - Current
Investments I've worked on / companies I support: Udio*, Anysphere (Cursor), Mistral AI, Luma AI, Black Forest Labs (creators of Flux OSS image models), Stealth (AI Hardware co), Stealth (LLM Ops co) 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
Investor and Business Partner
2023
Partnered at Seed Round
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.)
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.