Nandhinee Periyakaruppan

Software Engineer

San Francisco, California, United States4 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Machine Learning and Computer Vision.
Led innovative projects in healthcare and education.
Strong background in AWS and distributed systems.

Stackforce AI infers this person is a Machine Learning Engineer with a focus on Healthcare and Education sectors.

Contact

Skills

Core Skills

Distributed SystemsSpring FrameworkMachine LearningAmazon Web Services (aws)TransformersText-to-image GenerationDeep LearningNatural Language Processing (nlp)Computer VisionMl OpsGame Development

Other Skills

Apache SparkSQLTerraformAmazon S3Extract, Transform, Load (ETL)Responsible AIfederated learningScalaREST APIsSystem DeploymentPython (Programming Language)Elastic SearchSpring MVCLeadershipTechnical Training

Experience

4 yrs 6 mos

Total Experience

10 mos

Average Tenure

1 yr 5 mos

Current Experience

Amazon web services (aws)

Software Engineer

Dec 2024 – Present · 1 yr 5 mos · Palo Alto, CA

RDS Control Plane

Distributed SystemsSpring Framework

Zuora

2 roles

Software Engineer - Data

Jun 2024 – Nov 2024 · 5 mos · San Francisco Bay Area

Apache SparkSQLMachine LearningTerraformAmazon S3Extract, Transform, Load (ETL)+1

Data Science Co-op

May 2023 – May 2024 · 1 yr · San Francisco Bay Area

TransformersText-to-Image GenerationResponsible AI

University of massachusetts amherst

Graduate Student Researcher

Feb 2023 – Jun 2023 · 4 mos · Amherst, Massachusetts, United States

Implemented Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding in a Horizontal Federated Learning setting under Dr. Hong Yu at the BioNLP Lab, UMass Amherst.

ScalaML OpsREST APIsComputer VisionSystem Deployment

Buddi ai

Research Engineer

Jun 2020 – Jun 2022 · 2 yrs · Greater Chennai Area

Developed an end-to-end system in Scala that automates Document Content Extraction from electronic health records, improving the EHR upload cycle by 240 seconds.
Proposed a novel Multi-task Object Detection network for Table Structure Recognition with mean average precision of 89%, achieving a 10% performance boost over competitor Amazon Textract.
Led a team of 3 to build layout detection pipeline for healthcare documents using MMDetection and Detectron frameworks.
Created infra stack by containerising hybrid models using Docker and allocating resources through Cloud native services.
Mentored Research Interns on implementation of image feature extractors and testing their performance on public datasets.

Python (Programming Language)Deep LearningComputer VisionElastic SearchGame Development

Admatic solutions

Machine Learning Intern

May 2019 – Jul 2019 · 2 mos · Chennai, Tamil Nadu, India

Engineered and implemented a pipeline that recognizes and solves handwritten math equations in real-time with an accuracy of 90%. Deployed the system to a classroom with 300 students improving their learning experience.
Built an interactive game application using Tensorflow for Java that processes Speech and Gesture inputs provided by user.