Arun Thinakaran

Leading Strategic AI Innovation & Advanced GenAI Solutions Development

• Architected and deployed cutting-edge GenAI solutions leveraging large language models and embeddings technologies, creating autonomous AI systems capable of independently pursuing complex business objectives with minimal human oversight.
• Spearheading development of comprehensive agentic chatbot framework incorporating multiple innovative components aligned with industry trends
• Multi-source data integration system handling both structured and unstructured data for enterprise-scale AI applications
• Persistent memory layer enabling contextual awareness and conversation history retention for enhanced user experience
• Tool marketplace and registry for expanding agent capabilities through modular, scalable components
• Implemented Model Context Protocol (MCP) server for intelligent tool selection and orchestration within the agentic framework, enabling dynamic tool routing and automated decision-making for complex multi-step workflows
• Data sources marketplace facilitating seamless integration with diverse enterprise systems and legacy infrastructure
• Enhanced model serving capacity by 65% while reducing computational resource requirements through optimized Kubernetes deployment of NLP models and machine learning workloads.
• Designed end-to-end CI/CD pipelines for machine learning model deployment using devops tools and Kubernetes, reducing Service deployment time from hours to minutes.

ML Infrastructure & Production Systems Leadership

• Developed Python-based data engineering pipelines for large-scale dataset processing, improving data quality for model training by 30% and automating feature extraction for predictive analytics
• Implemented comprehensive model monitoring and observability systems for production ML deployments, reducing model drift incidents by 25% and ensuring consistent performance across environments
• Orchestrated transition from legacy systems to next-generation AI infrastructure, incorporating cloud-native technologies that reduced processing time by 40%
• Led cross-functional NLP integration initiatives resulting in 35% improvement in user satisfaction metrics and generating new revenue opportunities

Enterprise AI Infrastructure & ML Systems Architecture

• Spearheaded migration to ML-ready infrastructure, establishing scalable computing resources for training large language models and transformer neural networks
• Engineered automated ML pipelines using Python and TensorFlow, reducing model training time by 50% and improving experiment tracking capabilities
• Built containerized model serving infrastructure using Docker and Kubernetes, achieving 99.9% uptime across multiple geographic regions
• Established enterprise-wide ML deployment standards, including monitoring and alerting systems that reduced mean time to detection by 70%
• Created comprehensive documentation and conducted workshops on ML systems implementation, empowering teams to leverage AI capabilities with proper governance

System Architecture & Integration

• Orchestrated integration and communication of software upgrades.
• Managed large-scale VMware environments, including installation, configuration, and maintenance of ESXi hosts and vCenter servers. Automated daily activities and deployment processes.
• Attended meetings to deliver status reports to key stakeholders.
• Analyzed network traffic and performance metrics to optimize system performance.
• Contributed to development, administration and testing of disaster recovery plans.
• Spearheaded inventory control measures to replenish and maintain IT equipment.
• Delivered Tier 2 and Tier 3 support for problem identification, diagnosis and issue resolution.

Infrastructure & Systems Management

• Implemented and administered Servers, Active Directory, and Group Policies. Managed system resources and security policies for various departments.
• Designed and implemented technical solutions to improve system performance and reliability.
• Led cross-functional teams to implement innovative solutions, enhancing system performance and reliability.
• Performed software installations and upgrades to UNIX operating systems.
• Developed technical documentation for software applications, ensuring clarity and compliance with industry standards.
• Collaborated with cross-functional teams to troubleshoot and resolve complex technical issues.