Ramanan Iyer

Background

About Ramanan Iyer

Developing an overall strategy for AI implementation: • Identify processes suitable for augmentation or automation through AI such as sales customer service accounting or other operational activities. • Identify opportunities based on technical feasibility and business value. • Analyze and utilize AI for Knowledge Management needs. • Set clear goals about what is to be achieved via AI implementation such as efficiency improvement cost reduction better decision-making or faster information delivery. • Assess emerging technologies tools and LLMs and choose appropriate AI technologies and platforms which may include machine learning natural language processing (NLP) and automation software. • Facilitate data integration from various sources complying with data protection regulations. • Develop pilot projects and deploy them into production after successful evaluation. • Implement a training program for teams to use the new AI systems effectively. • Promote a culture where data-based decisions and AI-supported solutions are valued and promoted. Education & Certifications • M.C.A (Masters in Computer Applications) • PMI-ACP (Agile Certified Practitioner) • Certified Scrum Master (PSM I) • Certified Product Owner (PSPO I) • Microsoft Certified: Azure Fundamentals Core Competencies & Skills • Simplify the complex process of managing customer contracts using AI. • Using AI to address the challenges of quickly accessing relevant information within a large organization. • Intelligent invoice processing using AI tools and technologies to enhance efficiency and accuracy driving improved productivity and streamlined operations. • Experienced in utilizing OpenAI's Whisper API for efficient speech-to-text transcription and audio processing. • Experienced in the design and development of AI tools using Streamlit OpenAI Python Langchain LangGraph and vector databases such as ChromaDB Pinecone PostgreSQL FAISS and others • Experience working with Agile Methodologies like Scrum Kanban XP & EBM (Evidence Based Management). • Managed Project/Product development using tools like Azure DevOps JIRA Trello & Redmine. • Developed applications for Azure and Cloud using Azure DevOps Docker Microservices Redis Kafka Kubernetes Azure Pipelines SonarQube etc. • Hands on with programming languages and Databases like C# ASP.NET JAVA JavaScript Oracle SQL Server MySQL Azure SQL Azure Cosmos DB etc. • Used Repositories like VSS TFS & GitHub for version control. • Familiar with Business Intelligence tools like SSIS & Tableau.