Curriculum Vitae

Education

• Masters in Mechatronics Engineering, University of Southern Denmark (SDU), 2019 - 2021.
• B.Eng in Electrical and Electronic Engineering, University of Buea, 2014 - 2018.

Work experience

• 2022/11 - Present: Software Consultant at Pharma IT, a ProductLifeGroup Company
  • Development of pharma-compliant web applications, cloud DevOps, and AI-driven data management.
• 2022/03 - 2022/07: Software Developer at Oticon A/S
  • Developed software on MCU core within a resource-constrained environment.
  • Data Optimization in Resource-Constrained Environments.
• 2020/10 - 2022/02: Software Developer at NIBE
  • Cloud Integration for HVAC Systems, Data Storage and Communication for IoT-Enabled Devices.

Consulting Skills

• Requirements Analysis & Stakeholder Management:
  • Translating complex business needs into actionable technical solutions.
  • Collaborating closely with cross-functional teams to deliver tailored outcomes.
• Regulatory & Compliance Strategy:
  • Guiding GxP-compliant development within the pharmaceutical industry.
  • Ensuring data security and adherence to industry regulations like GDPR and GxP standards.
• Solution Design & Architecture:
  • Aligning technical roadmaps with business objectives.
  • Optimizing solutions for scalability, cost-effectiveness, and regulatory compliance.
• Collaboration & Communication:
  • Facilitating teamwork using Agile methodologies such as Scrum and Kanban.
  • Leveraging tools like JIRA, Confluence, and Git/GitHub for effective project management.
  • Presenting technical concepts clearly to non-technical stakeholders.
• Project & Process Management:
  • Overseeing end-to-end solution delivery, from ideation to deployment.
  • Driving continuous improvement in workflows and resource utilization.

Technical Skills

• Programming Languages: C, C++, Python, JavaScript

• Web Development:
  • Frontend: Vue.js, Node.js
  • Backend and Cloud: AWS Lambda, DynamoDB, Amazon S3, AWS Bedrock, Azure DevOps
• AI and Data Processing:
  • Large Language Models (LLMs) and data integration
  • Machine Learning Frameworks: TensorFlow, PyTorch, scikit-learn, Pandas, NumPy
• Protocols:
  • RESTful Protocols: HTTP
  • Non-RESTful Protocols: MODBUS, MQTT, CoAP, WebSocket
  • Embedded Communication Protocols: CAN, I2C, SPI
• Data Management and Processing:
  • Data Modeling: ER Diagrams, Normalization
  • ETL Pipelines: Data extraction, transformation, and loading for structured and unstructured data
  • Data Lakes and Warehousing: Amazon S3, Azure Data Lake, Snowflake
• Database Systems:
  • SQL Databases: PostgreSQL, MySQL
  • NoSQL Databases: MongoDB, DynamoDB
• Cloud Infrastructure and DevOps:
  • Infrastructure as Code: Terraform, AWS CloudFormation
  • CI/CD: GitHub Actions, Jenkins, Azure Pipelines
  • Monitoring & Logging: CloudWatch, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)
• Data Security and Compliance:
  • Data Encryption and Hashing: AES, SHA
  • Compliance Standards: GDPR, GxP (Good Practice) Compliance for regulated industries
  • Secure Communication: SSL/TLS, OAuth, AWS IAM roles and policies

Language

• French (native)
• English (fluent)
• Danish (basic)

Relevant Certifications

Deep Learning Specialization Degree, Coursera | DeepLearning.ai

GAMP5 & Computer System Validation (CSV) Basics, Pharma IT Academy

Publications

(In Peer Review - ID 1598979 @Frontiers in Medicine) Automatic Extraction of SmPC document for IDMP data model construction using Open-Source Foundation Model LLM RAG: A preliminary experiment for Pharmaceutical Regulatory Affairs.

Insights/Presentations

Bridging the Compliance Gap: IDMP Gap Analysis for the transition from xEVMPD to PMS

September 26, 2024

at Pharma IT Insights, Copenhagen, Denmark

Awards/Accomplishments

Danish Government Scholarship (2019 - 2021)