My team is responsible for developing key data infrastructure that enables data annotations, synthetic data generation, model evaluations, and reporting. We also develop critical data infrastructure to mine 1st party and 3rd party training data.I am listed as a key contributor on LlaMa 3.x models: https://ai.meta.com/blog/meta-llama-3-1/

I support the Data Engineering team for AI in Reality Labs responsible for:1. Model Training and Evaluation2. Data Management and Privacy3. Analytical Capabilities (e.g. model evaluation/comparison, training data understanding, drift detection, counterfactual evaluation)4. MLOpsPeople Management:1. Grew the team from 1 to 8+ IC's. 2. Developed multiple TL's.3. Led cross org initiatives to up-level ML skillsets for IC's on other teams.

Facebook AI - Product & Research (Jan 2020 - April 2021)-----------------------------------------------------------------------------------------------------1. Designed, built, and scaled privacy aware ML Data Platform. This was the first privacy focused data platform which is now leveraged by over 1000+ ML Engineers. This enabled the company to also comply with GDPR and FTC requirements.2. Strategized and influenced the vision for responsible AI Computer Vision models. Led to development of more equitable CV models to reduce bias. 3. Worked with Facebook AI Research to develop a COVID-19 prediction model which was leveraged to generate notifications for all FB App users (1.8 B+)

Facebook AI - Speech (Feb 2019 - Jan 2020)-----------------------------------------------------------------------------------------------------1. Improved developer efficiency by 2x by building MLOps framework which is now leveraged by 200+ ML Engineers.2. Saved Meta $10M+ in OPEX cost by identifying and eliminating inefficiencies through the data labelling pipeline3. Influenced team to develop key speech related products (like IG Captions) that led to increased user engagement and video ad time spent increase.Instagram Business (May 2018 - Feb 2019)-----------------------------------------------------------------------------------------------------1. Explored and scoped the nascent space that became the 2023 company priority Business Messaging.

• Developed and managed a new Spark based ETL pipeline with a Machine Learning classifier for risk detection that increased performance by 3x.• Deployed production code in Java for other ETL jobs and applications on Symantec Big-Data platform.• Defined schemas for production tables and created multiple data visualizations to display aggregated data to Symantec application users reducing AWS costs by 15%. • Built monitoring and alerting dashboards to ensure 48-hour SLA and maximize data quality.• Used Python for data cleaning, feature engineering, and cross-validating models.• Developed a Data Anomaly Detection system using ML for streaming and batch data.• Developed time-series change detection model to volume anomalies in the data pipeline.• Wrote python applications to mine data and SQL queries to aggregate and analyze data.Skills Used: Java, Python (PySpark), Sci-kit learn, Hadoop/MapReduce, Spark, Hive, ElasticSearch (Kibana/Logstash), Looker, Cassandra, MySQL, Ambari, Oozie.

• Designed and developed a python tool with MongoDB backend to collect data through system communication protocols implemented on storage chassis, and simultaneously handle system failures. Implemented scripts for test automation, data processing and error management to reduce system failure rates by 25%. • Additionally performed data analysis using MapReduce on Hadoop.• Implemented artificial neural networks for error detection and sub-system management.• Collaborated with other engineers to tailor Python tool to the needs of the testers, allowingthem to streamline their development using the new tool.Skills Used: Python, PyGUI, JSON, MongoDB, MapReduce, Git, UNIX, unittest, PuTTY, VIM.

• Designed a wearable watch: electrochemical biosensors and advanced analytics provide users with key biometrics.• Designed the firmware for the BLE module using BGScript and C++. Processed sensor readings and made them available to Android/iOS mobile application via Bluetooth.• Designed and implemented hardware and firmware to interface Bluegiga 113 Bluetooth Low Energy chip with multiple sensors using SPI and I2C interfacing.• Designed a Proof of Concept for an automated calibration system using machine learningtechniques (linear regression, support vector machines). • Tested, and collected data from final system using python scripts. Results showed newest developed algorithm improved power efficiency by 15%.Skills Used: Python, BGScript, C++, UNIX, Objective C.

• Developed tools and systems that supported the development, integration, test, and distribution of Cisco Products. Wrote unit tests in Java for existing and new testing tools. • Automated tests for Cisco Access Points using N.I equipment and LabVIEW/Python. Skills Used: Java, LabVIEW, Python, JUnit, SQL, UNIX, PuTTY, VIM.

• Generated and maintained test specifications, procedures and document testing results.• Used lab tools like OmniBer and Logic Analyzer for testing, verifying and debugging. • Gained experience in jitter and BERT testing. Obtained knowledge about E1/T1, Ethernet and Gigabyte • Re-created and debugged customer issues. Created verification test methods to implement on units.Skills Used: Python scripting

•Wrote business plans and strategy to co-found a startup•Wrote and submitted a United States Patent•Spoke to Silicon Valley venture capitalists to obtain funding

•Created and executed marketing campaigns.•Created market surveys and deployed it to obtain market data.•Studied different markets and competitors for product placement.•Conducted A/B testing for the website.•Worked with CEO to improve website UI and provided vital feedback to website developer for website design