Experience

SRC Research Scholars Program

• United States
• Research Services
• 200 - 300 Employee

• Research Scholar

  • Mar 2023 - Present

  ML-Assisted AMS Simulation of Sensor ML-Assisted AMS Simulation of Sensor



Meta

• United States
• Software Development
• 700 & Above Employee

• Software Engineer (Research Scientist)

  • Aug 2022 - Feb 2023

  Research Scientist (IC4) – Reality Labs, Release Tooling Infra • Designed and implemented a telemetry monitoring tool, interacting with a large-scale production system. • Designed metrics and dashboards to provide and visualize high-level telemetry data insights, accelerating the dev cycle. • Designed and built internal tools to improve engineering productivity. Tech stack: Hack (PHP), TAO (NoSQL Graph DB), GraphQL, Python, Dataswarm (airflow pipelines), Hive, Presto, Spark, SQL. Research Scientist (IC4) – Reality Labs, Release Tooling Infra • Designed and implemented a telemetry monitoring tool, interacting with a large-scale production system. • Designed metrics and dashboards to provide and visualize high-level telemetry data insights, accelerating the dev cycle. • Designed and built internal tools to improve engineering productivity. Tech stack: Hack (PHP), TAO (NoSQL Graph DB), GraphQL, Python, Dataswarm (airflow pipelines), Hive, Presto, Spark, SQL.



University of Illinois Chicago

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Jan 2017 - May 2022

  Research Assistant (PhD research) – Hardware security and physical design optimization • Invented, implemented, and evaluated state-of-the-art ML/DL algorithms for VLSI security and design problems. • Proposed conceptually new system designs, built prototypes, and conducted experiments to validate hypotheses. • Designed and built data mining and transformation pipelines for feature engineering, visualization, and insights analysis. • Notable academic projects include: o Semi-supervised detection framework of unseen Hardware Trojans detection in graph-level designs (2022 Google Research Scholar Award) – classification, clustering, knowledge graphs, convolution, anomaly detection. o Fast GPU-enabled ML router ($500,000 National Science Foundation grant) – GAN DL, convolutional networks. o Robust ML on-chip detection of cybersecurity attacks based on real-time voltage variations analysis – time series analysis, classification, anomaly detection, cybersecurity. Tech stack: Python, Jupyter Notebooks, Python data science stack (NumPy, scikit-learn, Pandas), Tensorflow/Keras, Pytorch.



Facebook

• Software Development
• 700 & Above Employee

• Software Engineer Intern

  • May 2021 - Aug 2021

  Software Engineer Intern (IC4) – External Data Misuse (Anti-scraping team) • Designed a semi-supervised ML system (Graph Embedding, Clustering) for user anomaly detection (bot detection). • Implemented reliable, scalable, and extensible big data transformation flow (ETL) that labels suspicious user activity and detects bots with high recall. Tech stack: Python, Jupyter, Python data science stack, Dataswarm (airflow pipelines), Hive, Presto, Spark, FBLearner, SQL. Software Engineer Intern (IC4) – External Data Misuse (Anti-scraping team) • Designed a semi-supervised ML system (Graph Embedding, Clustering) for user anomaly detection (bot detection). • Implemented reliable, scalable, and extensible big data transformation flow (ETL) that labels suspicious user activity and detects bots with high recall. Tech stack: Python, Jupyter, Python data science stack, Dataswarm (airflow pipelines), Hive, Presto, Spark, FBLearner, SQL.



Monitor soft ltd.

• Software engineer

  • Jul 2014 - Jan 2017

  Software Engineer (Backend) – Aeronautical Data Processing • Designed a scalable network file synchronization system with high availability and consistency. • Researched and integrated Schematron validation language support into existing data processing pipelines. • Designed a formal grammar and implemented an interpreter for domain-specific data validation. • Designed and built internal tools to improve engineering productivity. Tech stack: C++, Qt, Python, SQL. Software Engineer (Backend) – Aeronautical Data Processing • Designed a scalable network file synchronization system with high availability and consistency. • Researched and integrated Schematron validation language support into existing data processing pipelines. • Designed a formal grammar and implemented an interpreter for domain-specific data validation. • Designed and built internal tools to improve engineering productivity. Tech stack: C++, Qt, Python, SQL.



Systemprom Concern

• Moscow, Russia

• Junior Software Engineer

  • May 2012 - May 2014

  • Contributed to the low-latency domain-specific distributed time synchronization service. • Designed, analyzed, and debugged SQL queries. Tech Stack: C++, Qt, SQL. • Contributed to the low-latency domain-specific distributed time synchronization service. • Designed, analyzed, and debugged SQL queries. Tech Stack: C++, Qt, SQL.