Abhishek Kirloskar

As a cloud solution engineer in the Generative AI and ML team at Amazon Web Services (AWS), I specialize in integrating foundational models into the Bedrock platform, optimizing performance for large-scale deployments, and implementing robust infrastructure for model serving. My work includes leveraging containerization, orchestration tools, and AWS-native services to ensure high availability and

Integrate third-party and AWS foundation models (FMs) into the Bedrock platform.
Optimize inference performance, latency, and throughput for model deployments at scale.
Tune models or pipelines for customer-specific workloads (e.g., chat, summarization, code generation).

Design and build robust, scalable infrastructure for serving models with high availability and low latency.
Work on containeriz

At Amazon Web Services (AWS), I play a crucial role in enhancing cloud security for organizations worldwide as a Security Engineer within the AWS Security Hub team. My responsibilities include:

• Developing and implementing robust security controls that support multiple security standards, ensuring comprehensive protection for AWS customers.

• Designing and maintaining controls for AWS Foundatio

Develop and deploy machine learning models using AWS SageMaker: Expertise in AWS SageMaker to design, train, and deploy machine learning models for various applications. This includes data preprocessing, feature engineering, model selection, and hyperparameter tuning.
Implement generative AI algorithms and techniques: Leveraging knowledge of generative AI to develop innovative solutions for tasks

Worked as System Developer at Accenture.

Issued Jul 2020

Issued Apr 2016