Shwetha Ravi

Generative AI @ APAC Enterprise Architecture team. MCP, Agentic RAG/LLMs, Hyperautomation & Azure AI/ML Human in the loop solutions for AI. AI frameworks: Langchain, Langgraph, CrewAI, PyTorch, PostgresML Hands-on Python, Node.js, React.js and Typescript across various applications. Azure automation tools: Logic Apps & Power Platform

Work with CPO to construct product roadmap and provide solutions relating to problems in AI, Cloud, Cybersec and App Dev Use Tensorflow & Python to develop models for detecting attacks on IoT devices. Worked on transforming on-premise products into Software as a Service (SaaS), deployed using Docker, Kubernetes, Pulumi & AWS Development of software using Python & Go Work on security for Industrial Protocols Modbus, DNP3, BACNET, etc. Contribute to sales as a Pre-sales Technical Engineer

Enable & modify services in hybrid cloud env: Azure, OVH, Self-hosted Linux admin: RHEL & Solaris. Automations in Python, Ansible & Bash. Community leader of Digital Transformation: Worked with Head of Innovation and Digital Transformation to brainstorm R&D proposals for AI to boost productivity of bank’s IT departments. Organised 2 APAC-wide workshops covering language models, computer vision models & reinforcement learning to educate IT departments on AI ability. 50+ participants.

AI education platform developed with National University of Singapore to boost student results Used PyTorch & AWS to launch personalised learning platform Setup & maintained multi-cloud infra on AWS & GCP Software in Ruby on Rails, Typescript, PostgreSQL Automations with Python & Selenium CI/CD & TDD - CircleCI & Github Sold to schools with data privacy constraints Won over investors including executives from Hewlett Packard Pitched to Y-Combinator, Plug&Play Valued at time of exit: 1.8M USD

AI for logistics. Internship through NOC iLead Program for Entrepreneurs. Collaborated with founding team (CEO, VP Tech &VP Product) to build user facing features Develop entire SSO authentication flow with SAML & Ruby on Rails Setup batch processing data pipeline across multiple servers using Cron and Node.js Built map-based features using React Native & Google Maps API Data Visualisation & Analytics using React.js & Ruby on Rails Conducted market study of the startup's AI SaaS strategy