I am an experienced professional driving cloud transformation through robust DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC). I leverage AWS services to design scalable, secure infrastructure with automation and AI-enabled architectural solutions.
I specialize in event-driven architectures, serverless, microservices, and machine learning infrastructure support, with a strong focus on improving software architecture, empowering teams through training, and delivering innovative cloud solutions across multiple sectors.
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- Improved candidate and job search by enhancing OpenSearch and refining Python embedding and retrieval code.
- Designed serverless, event-driven workflows on AWS to automate outreach email chains (SES, Lambda, SQS, SNS).
- Created software architecture diagrams to strengthen documentation and knowledge sharing.
- Set up alerts and monitoring for Lambda functions and queues to improve system reliability.
- Refactored critical services for maintainability and scalability.
Cheeki is a US-based HR tech startup building a next-generation job and talent search platform.
Impact: Delivered faster and more accurate search, streamlined candidate outreach, and raised the overall reliability and clarity of Cheeki’s recruiting platform.
Takara.ai is a UK-based AI startup consultancy and AWS Advanced Partner. The company helps enterprises adopt cloud-based AI solutions. Hired for one of their projects, I developed proof-of-concepts in the iGaming industry, demonstrating how AI/ML models can be deployed at scale to enhance personalization and facilitate real-time decision-making.
As a Solutions Architect, I designed and delivered event-driven platforms on AWS using Serverless, SageMaker, Batch, and CDK. I collaborated with AI and ML engineers and clients to translate business goals into scalable architectures, facilitating the faster deployment of AI models and automated data processing pipelines. Translated client business goals into scalable cloud architectures, enabling faster model deployment and automated data processing pipelines.
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