1. Led data infrastructure initiaitves for Lens Ranking systems serving hundreds of millions of users daily

2. Acted as DRI across ML, Platform, Product, and Client teams to deliver large-scale cross-functional initiatives

3. Built feature engineering pipelines for Lens ranking on Spark, processing billions of user events

4. Built near real time features (7-9 min freshness) which are used for freshness, prefetch and cache optimizations in addition to improving ML performance

4. Migrated petabyte-scale training data from Dataflow → Spark, Dataproc -> GKE and Optimized Spark jobs

5. Implemented user cold start strategy using cross-signal interactions, increasing engagement and exploration

6. Built Unified prefetch from backend on user behavior with close colloboartion with client teams

7. Migrated in-memory indexes to RocksDB, improving reliability and reducing GC-related latency spikes

8. Built feature pipelines to online/offline stores (feature store + BigQuery) for scalable inference

9. Implemented real creator boosting by detecting content aggregators among creators and demoting them

Graduate Teaching Assistant for Course ECE 5585 - Information Technology Security and Trust

• Developed the functionality to acquire the real time Associated STA information like RSSI from the Range extenders to CAP

• Tested the functionality on Routers and provided support for testing new modules of Wifi-SON

• Ported and added functionality for transferring the Log Diagnostic data to Main Central Access point from all the devices connected.

Served as a TA for ECE-3574 Applied Software Design