JOSEPHINE PACKIARAJ

• Lead end-to-end project delivery for clinical trial data management eTMF systems, directing a global, cross-functional team of 50+ members.
• Manage capital budget and resources for high-stakes, large-scale projects valued at over $5 billion in total project cost.
• Oversee GxP and regulatory compliance across all software development lifecycles, ensuring strict adherence to global life sciences standards.
• Drove integration of AI technologies into clinical data workflows, automating data ingestion, cleaning, and predictive validation, including integration of GenAI in clinical trial website and chatbots.
• Implemented AI Management System (AIMS) standards under ISO/IEC 42001 framework, establishing governance and ethical AI guardrails to enhance compliance.
• Enforced information security controls by aligning technical architecture with ISO/IEC 27001 compliance standards, safeguarding sensitive clinical patient data.

Key Achievement: Successfully established the AI workflow architecture under ISO 42001 (AIMS) and ISO 27001 compliance standards while delivering the core data platform on budget for a multi-billion dollar program.

Tech Stack: Python, AI/ML Pipelines, Clinical Trial Data Systems, ISO 42001 (AIMS), ISO 27001, GxP Compliance, Cloud Architecture

• Managed end-to-end delivery of travel data processing pipeline, integrating GDS systems (Amadeus, Sabre, Travelport) and ensuring hotel data accuracy across various vendors
• Drive agile project management for Python microservices handling 50M+ daily travel searches across 200+ destinations
• Coordinated stakeholder communications with airline partners, hotel chains, and travel agencies, ensuring NDC standards compliance and effective risk management
• Oversaw technical architecture for scalable Python infrastructure, managed deployment strategies using containerized microservices, and tracked metrics to evaluate platform performance
• Lead Python development project for flight sector mapping and hotel data cleanup platform managing 25-30 team members
• Facilitate AI-assisted development practices using Claude AI and CodeRabbit for enhanced code review and development efficiency
• Enabled compliance with Payment Card Industry Data Security Standard (PCI DSS) for data protection for Credit card usage

Key Achievement: Delivered sector mapping platform 3 weeks ahead of schedule with 85% data accuracy and 35% faster search response times

Tech Stack: Python (FastAPI, Django), Microservices, Apache Kafka, Redis, PostgreSQL, Docker, Kubernetes, Azure, GDS Integration

• Led machine learning forecasting project for supply chain demand prediction managing 15+ stakeholders
• Managed cross-functional teams (data scientists, ML engineers, business analysts, DevOps) for development and implementation of ML forecasting algorithms, including LightGBM
• Coordinated ML model development lifecycle including data pipelines, feature engineering, training, validation, and deployment
• Facilitated agile project management with sprint planning and scrum ceremonies ensuring 95%+ forecast accuracy SLA
• Led strategic planning for integration of Python-based ML automation framework with existing supply chain systems to enhance forecasting capabilities
• Oversaw model governance activities, ensuring compliance with bias testing, explainability requirements, and regulatory validation standards

Key Achievement: Delivered ML forecasting solution 2 weeks ahead of schedule, reducing planning cycle time by 45% and generating $3.2M annual savings

Tech Stack: Python, Machine Learning (TensorFlow, Scikit-learn), CI/CD

• Executed L2/L3 protocol testing to ensure reliability of telecommunications infrastructure

Developed Python automation using pytest to validate network technology functionality

Designed framework for VRR testing in telecommunications

• Automated traffic classification processes to enhance quality of service (QoS) monitoring
• Worked as Scrum Master, driving agile ceremonies and assisting with delivery

Tech Stack: Python, Pytest, Robot Framework, Network ProtocolsTech Stack: Python, Pytest, Robot Framework, Network Protocols

• Developed and executed test cases using Python and Pytest for routing protocols on Cisco devices, contributing to robust product validation.
• Automated L3 testing for IPSec, BGP, ISIS, OSPF, and QoS protocols on ASR devices
• Conducted thorough testing on Cisco devices to ensure reliability and performance of networking protocols.

Collaborated in agile development environment, actively participating in scrum practices and sprint cycles to deliver features effectively.

• Collaborated in agile development environment, adhering to scrum practices and managing sprint cycles
• Executed manual and automation testing for Routing/Switching (L2, L3) and NMS/EMS (L7) systems
• Conducted comprehensive testing on Cisco devices to ensure functionality and reliability
• Tested HP storage and network devices including SAP HANA and HPN systems