• Application Development – Python, C/C++, Objective-C, Swift, Java, C#, iOS, Windows Phone 8 • Web Development – JavaScript, HTML5, CSS, jQuery, MongoDB, Angular.js, Node.js • Tools/Frameworks – Git, Xcode, Visual Studio, PyCharm, iOS SDK, Facebook SDK • Adaptable and self-motivated with a strong desire to...

2018 — NowLinkedInSoftware Engineer

2018 — Now

Mountain View, California

Machine learning infrastructure engineer

2017 — 2017FacebookSoftware Engineer Intern (Search)

2017 — 2017

Seattle, Washington

Implemented an automatic deployment service from scratch to update index data in distributed datastore

Built a notification service and dashboard to monitor and notify team about health status on machines

Optimized buffer management and reduced memory utilization by 20% across all hosts

Used: Python, C++, MySQL

2017 — 2017LinkedInSoftware Engineer Intern (Job Recommendations)

2017 — 2017

Sunnyvale, California

Engineered a modular system to facilitate parallel computation in career recommendation engine

Implemented a data post-processing pipeline to optimize scoring and ranking of job postings

Used: Java

2016 — 2016A9.comSoftware Engineer Intern (Advertising Technology)

2016 — 2016

Palo Alto, California, USA

Re-architected backend data pipeline around AWS Elasticsearch

Built a pipeline to sample data logs and stream data from Hadoop file system to Elasticsearch

Leveraged ES indexing to replace bitmap (Fastbit) indexing

Replaced Fastbit with a more scalable solution, enabled horizontal scalability to store data by leveraging ES

Optimized queries and reduced latency in query performance by 50%

Used: Java, Pig, Python, Hadoop, Elasticsearch, Eclipse, Git

2015 — 2015LinkedInSoftware Engineering Intern (Internal Tools)

2015 — 2015

Mountain View, California, USA

Implemented and deployed a library dependency tracking service that is used in tools infrastructure

Had full ownership and responsibility over building the Python backend service from scratch

Replaced legacy dependency service with a more scalable solution to enhance processing and querying throughput

Designed and developed cross-platform RESTful API with Python Flask

8x speedup in query performance by leveraging the Neo4j Graph Database

Built a background processor to handle real-time data feed using distributed messaging system Apache Kafka

Education

University of Waterloo

Bachelor of Software Engineering

Father Michael McGivney Catholic Academy

Experience+

Education

Bachelor of Software Engineering

Ontario High School Diploma