Designed and implemented features, metrics and evaluation pipelines to assess the performance and safety of autonomous systems

Developed components of Machine Learning pipelines (Kubeflow, Ray)

Built tooling (C++ code, python pipelines, React UI) to enable the evaluation of the reward function

Designed systems for data ingestion, validation and management to enable ML training

Developed full-stack microservices and APIs (React, python)

Implemented systems for Big Data processing for autonomous systems (Airflow, Spark)

Founder of a Startup in the Mobile Space.

· Built server side api with Python Django

· Designed a module to identify the same person on a dataset of 7 mil records using information retrieval Sphinx Engine and Random Forest Classifier. Solved performance challenges by smart indexing, threading and parallelization

· Built AWS infrastructure to execute machine learning models on AWS spot instances in parallel. Implemented machine learning models in python.

· Worked on a search engine and data writer in C

· Developed terminal in a browser using Node.js

Built an inventory management system (Java, AngularJS)

· Developed new features of a low latency/high throughput video ad delivery platform

· Worked on an event-driven ad server and a noSql key-value distributed storage system.

· Learned and used the Adap.tv open source project, RIBS, and its unique framework for memory management (C, C++)

· Build real time bidding module servicing 1 bln requests per day