Priya
Sharma.
Senior Machine Learning Engineer. I turn data into models that ship.
✉ your.email@example.com☎ +00 00000 00000⌂ City, Country⌘ kaggle.com/yourname
01Abstract
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.
02Experience
Senior ML Engineer
Quantia Analytics · Apr 2022 - Present
- 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.
Data Scientist
Meridian Insights · Jun 2019 - Mar 2022
- 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.
Data Analyst
Northwind Research · Jul 2017 - May 2019
- Automated survey analytics in Python and SQL, cutting report turnaround from 5 days to 1.
03Models in Production
Real-time Recommendation EnginePyTorch · Faiss · Kafka
Two-tower retrieval with online re-ranking serving 3k requests/s at a p99 latency of 40 ms.
LLM Support TriageTransformers · LoRA · FastAPI
Fine-tuned a 7B model with guardrails, reaching 91% routing accuracy and running on-prem.
Stack
PythonSQLRScalaPyTorchscikit-learnXGBoostTransformersLangChainSparkAirflowMLflowFeastDockerNLPRecSysTime seriesCausal inferenceA/B testingEducation
M.Sc., Statistics & Machine LearningSample Institute of Science · 2015 - 2017
Certified
Google Cloud Professional Machine Learning Engineer2023
AWS Certified Machine Learning - Specialty2021
DeepLearning.AI Deep Learning Specialization2019