Senior Java Fullstack Engineer
Keywords
Java (Programming Language)
Backend
Artificial Intelligence
Amazon Web Services
Cloud Computing
Databases
Continuous Integration
Amazon DynamoDB
Python (Programming Language)
Machine Learning
Skills
AWS CDK, AWS ECS, AWS Fargate, AWS Glue, AWS Lambda, DynamoDB, AWS, Kafka, API Gateway, artificial intelligence, Backend, cloud computing, CI/CD, databases, Docker, Git, Computer Science, Java, machine learning algorithms, Microservices, Python, software solutions, Terraform, Typescript
Project history
10/2023
-
12/2024
Evaluation system for insurance claims processor | Tractable.ai
The client, a cutting-edge technology company specializing in leveraging
artificial intelligence for insurance claims processing had no reliable and
fast method to measure the accuracy of extracting claims information and
quickly iterating over changes for that system.
Increased the accuracy by 23% by designing a custom tailored
performance evaluation system for analyzing and asserting the
accuracy of the claim parser system
Boosted the speed of asserting performance by 20X by running the
performance evaluation system in a distributed fashion as opposed to
a manual and serial way.
Accelerated the feedback loop by 1.5X times by ensuring clear
reporting to assess the implications of any changes in the claim
parsing system.
Skills: Java, Python, Typescript, AWS CDK, AWS Step Functions, AWS
ECS, AWS Lambda, AWS Fargate, Docker
The client, a cutting-edge technology company specializing in leveraging
artificial intelligence for insurance claims processing had no reliable and
fast method to measure the accuracy of extracting claims information and
quickly iterating over changes for that system.
Increased the accuracy by 23% by designing a custom tailored
performance evaluation system for analyzing and asserting the
accuracy of the claim parser system
Boosted the speed of asserting performance by 20X by running the
performance evaluation system in a distributed fashion as opposed to
a manual and serial way.
Accelerated the feedback loop by 1.5X times by ensuring clear
reporting to assess the implications of any changes in the claim
parsing system.
Skills: Java, Python, Typescript, AWS CDK, AWS Step Functions, AWS
ECS, AWS Lambda, AWS Fargate, Docker
09/2020
-
09/2023
Java Backend Engineer
Amazon
The client, a multinational American technology company, engaged in ecommerce,
cloud computing and many ventures needed a better way to
find out where they kept sensitive personal information (like names and
addresses) in their huge databases for ensuring compliance with privacy
laws and regulations.
Improved the coverage of where personal information is stored by
2X by implementing a solution powered by cutting edge machine
learning algorithms to pinpoint where sensitive personal information is
stored.
Increased the productivity of data owners for ensuring privacy by 3X
easy to integrate ways to consume for the results of the Personal Data
scanner.
Skills: Java, Python, Typescript, AWS Lambda, AWS Batch, AWS API
Gateway, AWS CDK
cloud computing and many ventures needed a better way to
find out where they kept sensitive personal information (like names and
addresses) in their huge databases for ensuring compliance with privacy
laws and regulations.
Improved the coverage of where personal information is stored by
2X by implementing a solution powered by cutting edge machine
learning algorithms to pinpoint where sensitive personal information is
stored.
Increased the productivity of data owners for ensuring privacy by 3X
easy to integrate ways to consume for the results of the Personal Data
scanner.
Skills: Java, Python, Typescript, AWS Lambda, AWS Batch, AWS API
Gateway, AWS CDK
05/2019
-
08/2020
Java Backend Engineer
Privacy Portal | Amazon
The client, a multinational American technology company, engaged in ecommerce,
cloud computing lacked a centralized portal for privacy
officers. Resulting in an increased effort to ensure compliance with
privacy law and regulations.
Increased productivity of privacy officers by 3X by implementing a
centralized portal to streamline and integrate all privacy-related
findings.
Increased coverage of finding privacy disagreements by 30% by
implementing flagging mechanisms when a data owner disagrees with
a privacy officer.
cloud computing lacked a centralized portal for privacy
officers. Resulting in an increased effort to ensure compliance with
privacy law and regulations.
Increased productivity of privacy officers by 3X by implementing a
centralized portal to streamline and integrate all privacy-related
findings.
Increased coverage of finding privacy disagreements by 30% by
implementing flagging mechanisms when a data owner disagrees with
a privacy officer.
Local Availability
Only available for remote work
