Aditya Rohilla

CTO

Seattle, Washington, United States8 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Led development of scalable, secure software platforms.
Reduced analytics development time from 180 to 15 days.
Engineered applications improving debugging time by 40%.

Stackforce AI infers this person is a SaaS and E-commerce focused software engineer with expertise in data analytics and mobile development.

Contact

aditya.rohilla94@gmail.com LinkedIn

Skills

Core Skills

Backend DevelopmentCloud ComputingData AnalyticsSoftware ArchitectureMobile DevelopmentMachine LearningWeb Development

Other Skills

AWSAWS EMRAWS Elastic BeanstalkAWS LambdaAirflowAlgorithmsAmazon Web Services (AWS)AndroidAndroid DevelopmentApache CordovaApache KafkaApache KylinArtificial Intelligence (AI)Artificial Neural NetworksC++

About

I'm a Senior Software Engineer and Tech Lead at Abnormal AI working at the intersection of AI X Cyber Security. My work includes leading teams, architecting systems and developing highly scalable, secure, fault-tolerant software platforms. I work with Kubernetes, Envoy, Golang, Python and many AWS services. I previously worked as a Software Engineer at Amazon and Samsung Research. I also did research work in the field of Data Mining / Machine Learning as a Research Assistant at CIPS lab, ASU. Visit https://adityarohilla.com/ to read more about the projects and products I have worked on.

Experience

8 yrs

Total Experience

2 yrs 8 mos

Average Tenure

4 yrs 3 mos

Current Experience

Abnormal ai

2 roles

Technical Lead

Apr 2022 – Present · 4 yrs 2 mos

Senior Software Engineer

Mar 2022 – Present · 4 yrs 3 mos

Backend Engineer in the Multi Product Platform team.
Working on designing and developing services using: Python, Django, Airflow, Golang, Kafka, Postgres, MySQL, AWS and Terraform.

PythonDjangoAirflowGolangKafkaPostgres+5

Amazon

Software Development Engineer + Tech Lead

Jun 2020 – Mar 2022 · 1 yr 9 mos · Seattle, Washington, United States

Technical lead for SliceIT, a SOA based platform to create no-code analytics web apps on top of IAP. SliceIT creates configuration based data analytics slicers and brings down their development time from 180 to 15 days.
Part of Data Driven Analytics team developing Instant Analytics Platform (IAP), a distributed data analytics platform that aims to provide sub-second analytics and intuitive visualization capabilities over millions of records to WW Ops customers.
It is built from open source technologies like Apache Kylin, Hbase, Hive and native AWS technologies like EMR, Privatelink etc. It is becoming a one-stop shop for all big data analytics needs of finance teams at Amazon.
The platform has the capability to onboard different datasets from multiple data sources (ElasticSearch, Kylin, DynamoDB, RDS etc) and provide analytics and reporting functionality on top of it by creating full stack web applications (React web apps, Superset dashboards etc) for each dataset with minimal code changes.

SOAData AnalyticsApache KylinHbaseHiveAWS EMR+4

Walmart global tech

Software Development Engineer

Jun 2019 – Aug 2019 · 2 mos · Bentonville, Arkansas

Project - Batch Barcode Detection
1. Worked on Native Android and Cordova apps with Google ML kit, Expresso, and Docker used by >2K associates processing >960K cases per day.
2. Developed a Cordova plugin for interaction between Android and Cordova apps to allow different apps to use BBS app in Walmart warehouses.
Full time offer to join as SDE II at Walmart HQ.

Android DevelopmentCordovaGoogle ML KitDockerMobile Development

Samsung india

Software Engineer

Jul 2016 – Jul 2018 · 2 yrs · Delhi, India

Project: EFL UI
1. Engineered 2 internal applications using Scikit-learn, Keras, GDB, and Selenium in Python which lowered debugging time in native Tizen applications by 40%.
2. Became Module owner of Genlist widget and Ecore of EFL and improved performance of native apps.
4. Cleared 'Advanced Data Structures' examination internal to Samsung.
Project: App TV-Tizen
1. Created an MVC architecture based Android app for interaction between Smartphones and TVs using SmartView SDK.
2. Used advanced architectural principles and Test-driven development for the app (Gaming Controls).

Scikit-learnKerasGDBSeleniumPythonMachine Learning

Myntra

Software Engineer

Nov 2015 – May 2016 · 6 mos · Gurgaon, India

Project - Indian Fashion League (Games for End of Reason Sale)
1. Developed 3 Scalable Isomorphic Web View applications using React-Redux, Node.js, and Redis for increasing User interaction with the mobile application of the e-commerce company.
2. Users on average spent 25 more minutes on the platform resulting in an increase in sales of about ~15%.
3. The applications were used by more than a million users over a period of 20 days (End of Season Sale) and improved the Google Play store rating of Myntra over that quarter along with trending #1 on Twitter.

React-ReduxNode.jsRedisWeb Development