Alok Subbarao

Versatile data professional with expertise in Data Engineering, Analytics Engineering, MLOps/AI, ETL/ELT pipelining, orchestration, and cloud warehouse & distributed systems architecture. Proven track record at Meta with 4+ years implementing advanced AI/ML data solutions at web scale. I have a diverse career background across FAANG companies, tech startups, and Healthcare, Pharma, and Medical Device industries. My professional experience encompasses Product Analytics/Data Science, Dashboarding/Visualization, Machine Learning, with a personal passion for efficiency, cost reduction and query optimization. I implemented the full ML development cycle to launch production models for Meta's Integrity (Trust and Safety) unit to combat Account Compromise and revenue leakage on Meta's Ads and Business platform. I launched fraud detection models by developing ground truth test/training data and transliterating algorithm prototypes into robust ETL processes. I completed the ML dev cycle by implementing operational monitoring of model output via pipelines to track precision and recall, measuring temporal performance of model variants, and finally shipped feature engineered datasets for iterative enhancement for detection models operating on a scale of >1B entities on the Meta Business Graph. My domain knowledge areas of expertise include fraud detection on Meta-scale data (1B+ advertisers, 500M+ businesses), as well as expertise in the Pharmaceutical and Medical Device sectors, including patient claims, FDA regulations, and healthcare data management. My passion involves all forms of data optimization — validation, performance profiling, cost reduction, query optimization and ETL rearchitecture. I bring deep knowledge of various Cloud Data Warehouses (Hive, Snowflake, AWS Redshift, GCP BigQuery), columnar and NoSQL query engines (Presto, Spark, Cassandra, Redis, Aurora), and relational databases (MySQL, Postgres, OracleDB, MS SQL Server), and other areas such as orchestration (Airflow, Docker), analysis and reporting, experimentation, and dashboarding tools (Tableau, Sisense, Metabase) python libraries (Plotly, Seaborn, Matplotlib).