Summary
Pradeep Ravindran is a Machine Learning Engineer based in San Francisco with 13 years of experience building and scaling production ML and NLP systems across ads and HR domains. He has a strong track record at companies like Twitter, Moloco, and Reddit, delivering low-latency candidate generation and early-ranking optimizations that reduced compute costs and materially improved revenue-related metrics. Skilled in Python, Scala, Java and a broad ML infra stack (TensorFlow, Spark, Hadoop, AWS, Redis), he designs end-to-end pipelines from prototype to production and maintains them at scale. His background in multilingual sentiment and theme extraction for HR products and research in semantic parsing gives him a rare blend of deep NLP expertise and large-scale engineering rigor. Comfortable both as an individual contributor and technical lead, he repeatedly tackles identity-matching and user-interest modeling problems that power ad targeting. He often focuses on cost- and latency-driven engineering tradeoffs, turning research ideas into high-impact, deployable systems.
13 years of coding experience
11 years of employment as a software developer
Masters Computer Science (Language Technologies), Masters Computer Science (Language Technologies) at Carnegie Mellon University