Gourav Roy

Software Engineer

Seattle, Washington, United States13 yrs 1 mo experience

Highly Stable

Key Highlights

Led the development of AWS Data Tiering product.
Designed a low memory footprint storage engine.
Implemented advanced anomaly detection algorithms.

Stackforce AI infers this person is a SaaS expert with a strong focus on database services and machine learning.

Contact

gouravbit@gmail.com LinkedIn

Skills

Core Skills

Aws Database ServicesDistributed SystemsData Tiering ProductStorage EngineKinesis AnalyticsAnomaly DetectionMachine Learning

Other Skills

AlgorithmsAmazon Web Services (AWS)CC++Cascading Style Sheets (CSS)Cloud ComputingComputer ScienceCore JavaData StorageData StructuresDistributed ComputingDistributed File SystemsEclipseFeature Selection ServiceGNU/Linux

About

As a Principal Engineer at Amazon, I work on AWS database services, where I apply my 10+ years of experience in machine learning, distributed systems, and storage engines. I lead and collaborate with teams of engineers to design and develop innovative solutions for complex and scalable data management problems. Some of my recent achievements include building the Data Tiering product and team from scratch, developing a low memory footprint storage engine, and implementing robust random cut forest anomaly detection algorithm. I also have multiple patents and publications in the field of machine learning. I am passionate about creating reliable, performant, and secure database systems that empower customers to leverage the power of AWS.

Experience

13 yrs 1 mo

Total Experience

13 yrs 1 mo

Average Tenure

Current Experience

Amazon

3 roles

Principal Engineer

Promoted

Oct 2021 – Aug 2025 · 3 yrs 10 mos

* Work in AWS database services. I work in areas like distributed storage layer, storage engine, pushdown computation, software defined network, encryption, security, performance.

AWS database servicesdistributed storage layerstorage enginesoftware defined networkencryptionsecurity+2

Software Engineer, AWS

Promoted

Mar 2017 – Sep 2021 · 4 yrs 6 mos

As part of AWS ElastiCache, Ideated and built the Data Tiering product and team from grounds up. Led a team of 10s of engineers to develop and deliver this product. Worked with several external customers to gather requirements. Ideated, designed and developed a log-based low memory footprint storage engine from grounds up which is used to store data on disk in Data Tiering clusters. The storage engine is designed for serving requests at low latency (in microseconds) and high throughput. Along with the team, designed and developed other critical components like replication, snapshotting component in this project. Apart from this project, designed and developed critical components in other projects like Global Data Store, Online Migration.
Was part of the founding team of AWS RoboMaker and AWS DeepRacer. Ideated, Designed and Implemented key components in both the services.
Designed and Implemented a new streaming window based aggregation in Kinesis Analytics's SQL engine. https://docs.aws.amazon.com/kinesisanalytics/latest/dev/stagger-window-concepts.html

Data Tiering productlow memory footprint storage enginereplicationsnapshottingGlobal Data StoreOnline Migration+3

Software Engineer, Core ML

Jun 2012 – Apr 2017 · 4 yrs 10 mos

Designed and Implemented Robust Random Cut Forest anomaly detection algorithm (https://d1.awsstatic.com/whitepapers/kinesis-anomaly-detection-on-streaming-data.pdf).
Designed and Implemented algorithms to generate text based statistics in AWS Machine Learning Service. Have implemented several approximate algorithms like count-min sketch, HyperLogLog.
Designed and Implemented a scalable and distributed clustering algorithm that supported mixed data type.
Designed and Implemented a Feature Selection Service to improve ML Model Performance.

Robust Random Cut Forestanomaly detection algorithmtext based statisticsapproximate algorithmsscalable clustering algorithmFeature Selection Service+2