Priya Sharma
Data Scientist · ML Engineer
Staff-level data scientist with 7+ years building ML systems at scale. Shipped recommendation engines to 400M users at Spotify, built LLM evaluation pipelines at OpenAI, and published 4 peer-reviewed papers.
✉ priya.s@email.com 🔗 linkedin.com/in/priyasharma 📄 scholar.google.com 📍 San Francisco, CAExperience
OpenAI · San Francisco, CA
Built fine-tuning evaluation pipeline reducing benchmark variance by 18%. Designed human preference data collection framework processing 100k+ comparisons/week. Co-authored 2 internal papers on RLHF evaluation adopted for GPT-4 training.
Spotify · New York, NY
Owned recommendations algorithm serving 400M users. Led 12% CTR improvement via two-tower neural retrieval model. Reduced training costs 40% through mixed-precision training. Built real-time feature store serving <10ms p99.
Google Brain · Mountain View, CA
Research intern on AutoML team. Proposed and prototyped neural architecture search heuristic incorporated into NAS-Bench-301 benchmark.
Selected Publications
Scaling Laws for Reward Model Calibration in RLHF
NeurIPS 2023 · Best Paper Award
Efficient Two-Tower Retrieval at Scale: Lessons from 400M Users
RecSys 2021 · Industry Track
Beyond Accuracy: Preference-Aware Evaluation for Generative Models
ICML 2024