Avinash Acharya

About Avinash Acharya

I design and build cloud-native ML and GenAI platforms that help data science teams deploy, monitor, and scale models reliably.My focus is on automation, observability, and reducing operational friction — turning experiments into production-ready systems.I value clean architecture, calm execution, and consistent delivery.#GenerativeAI #MLPlatform #SageMaker #MLOps #LLMOps #AWS #AIInfrastructure #CloudForAI

Experience

1. Ai Ml Computational Science Specialist

   Accenture in India

   Nov 2024 — Present · Mumbai, IN

   Design, develop, and maintain scalable AI/ML pipelines leveraging AWS SageMaker, Azure ML, and GCP Vertex AI to accelerate data science workflows and model deployment.• Lead initiatives integrating Generative AI capabilities, including foundation model fine-tuning and Retrieval-Augmented Generation (RAG), to deliver innovative solutions for clients.• Collaborate with cross-functional teams to build secure, cost-optimized ML platform architectures supporting experimentation, training, and production deployment at enterprise scale.• Implement MLOps best practices including CI/CD for models, automated monitoring, governance, and lifecycle management to ensure robust and compliant AI solutions.• Enable data science and engineering teams with infrastructure, tooling, and best practices across AWS, Azure, and GCP cloud environments.• Support stakeholder engagement by translating complex ML concepts into actionable business value, driving adoption of AI-powered products and platforms.• Contribute to internal knowledge sharing through technical documentation, workshops, and mentoring junior team members on ML platform strategy and cloud AI services.

Education

• University of Mumbai

  Bachelor of Science - BS, Information Technology

• Amazon Web Services (AWS)

  AWS re/Start Program Learner, Information Technology