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Ujaas Barvalia
Principal Data Scientist specializing in machine learning and generative AI
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Atlassian ML/AI engineer who has shipped end-to-end production systems combining classical ML, streaming infrastructure, and LLM-based personalization to improve onboarding and free-to-paid conversion. Particularly strong in turning research-style RAG and reranking ideas into low-latency, reliable product systems with robust evaluation, safety guardrails, and reusable platform services for other teams.
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Key Strengths
- Owned end-to-end ML/AI systems from experimentation to deployment and iteration
- Built real-time conversion prediction and personalization systems for free-to-paid onboarding
- Strong production LLM/RAG implementation with evaluation and safety guardrails
- Designed low-latency streaming ML architecture using Kafka, Spark Streaming, Redis, and FastAPI
- Improved trial-to-paid conversion and onboarding engagement through iterative optimization
- Translated research-grade retrieval/reranking approaches into scalable production systems
- Balanced latency, cost, quality, and safety tradeoffs in GenAI systems
- Created shared Python inference and LLM orchestration platform used across product teams
- Improved engineering velocity by centralizing ML/LLM services and SDKs
- Emphasis on rigorous testing with unit, integration, and golden-dataset regression checks
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