Priya Sharma
Senior Machine Learning Engineer
your.email@example.com · +00 00000 00000 · scholar.google.com/yourname · City, Country
Profile
Machine learning engineer with 7+ years taking models from research to production in NLP, recommendation and forecasting. Combines solid statistics with MLOps discipline and has published at applied-ML venues.
Experience
Apr 2022
- Present
- Present
Senior ML Engineer
Quantia Analytics · City, Country
- Shipped a two-tower retrieval and ranking system that lifted click-through rate by 18% in A/B tests.
- Fine-tuned an LLM for support triage with 91% routing accuracy, saving 14 FTE of manual sorting.
- Built a feature store and model registry, cutting time from experiment to production from 6 weeks to 5 days.
Jun 2019
- Mar 2022
- Mar 2022
Data Scientist
Meridian Insights · City, Country
- Built gradient-boosted demand forecasts for 40k SKUs, reducing stock-outs by 23%.
- Designed an experimentation platform with CUPED variance reduction used by 9 product teams.
Jul 2017
- May 2019
- May 2019
Data Analyst
Northwind Research · City, Country
- Automated survey analytics in Python and SQL, cutting report turnaround from 5 days to 1.
Methods
Languages
Python, SQL, R, Scala
ML & AI
PyTorch, scikit-learn, XGBoost, Transformers, LangChain
Data & MLOps
Spark, Airflow, MLflow, Feast, Docker
Selected Research
PyTorch
Real-time Recommendation Engine
Two-tower retrieval with online re-ranking serving 3k requests/s at a p99 latency of 40 ms.
Education & Credentials
M.Sc., Statistics & Machine LearningSample Institute of Science, 2015 - 2017
Google Cloud Professional Machine Learning Engineer2023
AWS Certified Machine Learning - Specialty2021