Hi, my name is

Karan Kalyan.

I build AI solutions.

I'm an AI Engineer based in San Jose, CA, specializing in Machine Learning, Deep Learning, and MLOps. Currently focused on building scalable AI solutions at Kaiser Permanente.

About Me

In my current role at Kaiser Permanente, I design and implement scalable AI solutions that drive innovation in healthcare. My work spans the entire AI lifecycle—from developing robust models and fine-tuning algorithms to deploying systems that continuously learn and adapt in real-world environments. Passionate about AI research, cloud infrastructure, and automation. Proven ability to develop multimodal models, optimize cloud-based ML workloads, and implement MLOps best practices. PhD candidate in Information Technology.

Experience

AI Engineer - Machine Learning

Kaiser Permanente
Pleasanton, CA
Apr 2023 - Present
  • Developed multimodal language models using Transformers and Diffusion architectures
  • Designed and optimized AI model pipelines for scalability and efficiency
  • Implemented real-time inference systems using MLOps principles

Platform Engineer - AI/ML

LIXIL
New York, NY
Oct 2023 - Apr 2024
  • Designed high-performance ML infrastructure, optimizing GPU/CPU workloads.
  • Automated cloud resource provisioning with Terraform and Kubernetes, reducing setup time by 30%.
  • Integrated Dockerized ML workflows into high-performance computing (HPC) clusters.

AWS Cloud Engineer

Savvas Learning Company
Arizona, USA
Oct 2022 - Sep 2023
  • Designed and deployed scalable EKS clusters with Kubernetes auto-scaling and rolling updates.
  • Implemented RBAC security policies and optimized Kubernetes workload isolation.
  • Developed AWS CDK and Helm charts for streamlined cloud deployments.

AWS Infrastructure Engineer

Nomi Health
Austin, TX
May 2021 - Sep 2022
  • Built and maintained CI/CD pipelines using AWS CodePipeline, CodeCommit, and CodeBuild.
  • Integrated serverless AWS Lambda functions with API Gateway.
  • Developed Terraform modules for automated provisioning of AWS resources.

Site Reliability Engineer

KLA
Milpitas, CA
Aug 2020 - Apr 2021
  • Defined and implemented SLOs and SLIs for system reliability.
  • Developed monitoring solutions using Prometheus, Grafana, and Datadog.
  • Designed and maintained AWS disaster recovery solutions with multi-region backups.

Graduate Research Student

California State University, Fresno
Fresno, CA
Sep 2018 - Mar 2020
  • Designed an AI-driven cybersecurity system using machine learning to predict and prevent network intrusions.
  • Trained models with TensorFlow and Keras, deploying on AWS Sagemaker for real-time threat detection.
  • Developed an augmented reality mobile app using Unity and ARCore for an engaging AR experience.

DevOps Engineer

Groupon
Bengaluru, Karnataka, India
Feb 2018 - Jul 2018
  • Implemented CI/CD using Jenkins and Groovy scripting for version-controlled pipeline definitions.
  • Utilized Jenkins plugins to integrate with Docker, AWS, and SonarQube for continuous integration and deployment.
  • Supported Groupon's DevOps needs in Bengaluru, India with on-site presence.

Linux System Engineer

Amazon
Bengaluru, Karnataka, India
Aug 2017 - Jan 2018
  • Developed automation scripts using Bash and Python to streamline tasks, saving time and resources.
  • Troubleshot network issues using TCP/IP, DNS, and DHCP protocols, ensuring smooth operations.
  • Implemented security measures like SSL/TLS encryption and firewall configurations to protect web servers from vulnerabilities.

Skills

AI/ML

  • Deep Learning
  • Transformers
  • Neural Networks
  • PyTorch
  • TensorFlow
  • OpenAI API

MLOps

  • Kubernetes
  • Docker
  • Terraform
  • CI/CD
  • Model Deployment
  • AWS SageMaker

Cloud/DevOps

  • AWS (EKS, EC2, S3, Lambda)
  • Google Cloud
  • Azure
  • Helm
  • Prometheus
  • Grafana

Programming

  • Python
  • Go
  • C++
  • Java
  • TypeScript
  • Node.js

Education

PhD in Information Technology

University of the Cumberlands
2024 - 2027

M.S. in Data Science and Machine Learning

California State University, Fresno
2018 - 2020

B.E. in Computer Science

UBDT College of Engineering, Davangere
2013 - 2017

Projects & Certifications

AI-Driven Cybersecurity System

California State University, Fresno
  • Developed a machine learning-based threat detection system using TensorFlow and AWS SageMaker
  • Achieved real-time network intrusion prevention by training deep learning models

Serverless IoT Data Pipeline

California State University, Fresno
  • Designed an IoT data pipeline using AWS Lambda, Kinesis, DynamoDB, and S3
  • Enabled real-time sensor data ingestion with fully serverless deployment

Awards and Certifications

  • AWS Certified Solutions Architect - Professional
  • Kubernetes Certified Administrator (CKA)
  • Certified Terraform Associate
  • Recognized as Infrastructure as Code (IaC) Wizard at Nomi Health for excellence in cloud automation
  • Finalist, TechX Hackathon 2021 – Built an AI-powered chatbot for healthcare automation

Contact

Get In Touch

Currently looking for new opportunities in AI Engineering and MLOps. Whether you have a question or just want to say hi, I'll try my best to get back to you!