Khairullah Hamsafar

• Maintain and optimize core platform infrastructure for governed AI video synthesis, ensuring robustness and high-performance. • Architect and manage infrastructure on the Metaform Agentic Platform to support complex, autonomous chains of AI agents. • Develop platform-wide validation systems enforcing DNA AI™ rules, guaranteeing data integrity and brand compliance. • Support AI engineering teams by troubleshooting agent execution and ensuring infrastructure compatibility for new features. • Enhance development tooling and automation for the agentic workflow lifecycle, streamlining testing, validation and reporting. • Implement monitoring and scalability solutions to ensure the reliability of large-scale Algorithmic & Model based AI agent fleets.

• Architect automated ETL pipelines for business operations data, ensuring cloud storage and enterprise-wide analytics. • Engineer predictive models to forecast key business metrics, enabling proactive decisions and strategic planning. • Automate comprehensive business insight reports for stakeholders, delivering actionable analytics across all operations. • Analyze complex datasets to identify key trends, optimizing operational workflows and data-driven business strategies. • Design a centralized data reporting system, streamlining access to performance indicators across all business functions. • Implement machine learning solutions to enhance customer segmentation and personalize marketing campaigns.

• Architected and developed AI-powered solutions for clients in healthcare, finance, and enterprise sectors. • Implemented multi-agent AI systems using CrewAI for complex workflow automation and business process optimization. • Designed and deployed RAG pipelines for document intelligence and knowledge management systems. • Developed custom AI chatbots and conversational interfaces integrated with CRM platforms. • Led AI solution deployments on cloud platforms (AWS/GCP) ensuring scalability and performance.

• Developed and deployed AI/ML solutions for business process automation, implementing predictive models that improved operational efficiency by 30%. • Designed data pipelines integrating multiple data sources for CRM systems, enabling real-time analytics and decision-making. • Collaborated with engineering teams to integrate machine learning models into web applications using RESTful APIs. • Implemented LangChain frameworks for document processing and intelligent data extraction workflows. • Conducted A/B testing and model optimization to ensure scalable AI solution deployment.

• Analyzed biodiversity and climate-related datasets using Python and Excel. • Developed visual reports to support environmental policy research. • Contributed to the cleaning and standardization of climate time-series data.

• Advanced training in LLM integration, AI agent development, and workflow automation systems. • Developed prototype AI chatbots using OpenAI GPT and LangChain for customer service applications. • Implemented RAG pipelines for document intelligence systems with vector database integration. • Gained hands-on experience with CrewAI and AutoGen for multi-agent system architecture. • Built computer vision pipelines for healthcare imaging applications using TensorFlow and OpenCV.

• Implemented data pipelines in Python to ingest, clean, and transform datasets for multiple projects. • Built and fine-tuned machine learning models to extract actionable insights and support data-driven decision-making. • Created interactive dashboards using Matplotlib and Seaborn to visualize key metrics. • Employed Git for version control and collaborated with senior engineers on code quality and merges.