Baladithya Balamurugan

Solutions Architect | AWS Certified | MSCS | ML Enthusiast
Serverless | Distributed Computing

About Me

Solutions Architect at AWS with expertise in machine learning infrastructure, cloud architecture, and software development. I specialize in designing scalable MLOps solutions and secure multimodal data pipelines for enterprise applications.

My recent work includes developing biometric voice authentication systems, creating generative AI applications for financial reporting, and collaborating with Meta on WebXR technologies. I'm passionate about leveraging AI to solve complex problems and build innovative solutions.

Education

MS in Computer Science

University of Southern California | Sept 2022 – May 2024

BS in Computer Science

University of California, Santa Cruz | Oct 2019 – Mar 2022

Skills

AWS
GCP
C
C++
Go
Java
JavaScript
TypeScript
Python
Docker
Kubernetes
PostgreSQL
Flutter
Vue.js
React
Astro
NLP
Computer Vision
AI/ML

Solutions Architect

Amazon Web Services LLC. | Jul 2022 – Current

  • Developed MLOps proof-of-concept solutions utilizing AWS Sagemaker for scalable machine learning workflows.
  • Engineered secure multimodal data pipelines supporting near real-time inference for enterprise applications.
  • Designed and deployed biometric voice authentication systems used by financial institutions and telecommunications.
  • Created generative AI-driven applications for automating financial reporting and enhancing internal documentation.
  • Collaborated with Meta on the WebXR Hackathon, achieving recognition at Workday DevCon 2023.

Software Developer Intern

University of California - Santa Cruz, Genomics Institute | Jul 2021 – June 2022

  • Architected scalable cloud infrastructure, enhancing computational capabilities for genomic research.
  • Managed migration and optimization of datasets from Google BigQuery to AWS Elasticsearch, significantly improving data accessibility and research capabilities.

Research Intern

Johns Hopkins - Applied Physics Laboratory | June 2021 – June 2022

  • Developed SDK modules and user interfaces for metrics querying and simulation environments targeting BCIs.
  • Improved user experience by enhancing software interaction capabilities within neuroscience simulation frameworks.
  • Obtained civilian security clearance to support sensitive research projects.