Joining us for Fall 2026 through the AI Initiative, in partnership with the School of Graduate Studies at Memorial University of Newfoundland.
Clinical Informatics and Data Integration
Jasleen
The Clinical Architect
Jasleen is a data engineer whose speciality is integrity: the validation and reconciliation that let GNOSIS prove a record matches its source. Her background is data engineering for high-volume and regulated environments, with production experience in ETL, data quality and automated audit tooling. She holds a Bachelor of Engineering in Computer Science specialising in artificial intelligence and machine learning, and is completing a Master of Computer Science at Memorial University of Newfoundland. She is also the developer of Math-MATE, an accessible mathematics platform built to WCAG 2.2 for the Learning Disabilities Association of Newfoundland and Labrador.
- Data validation, reconciliation and automated audit tooling
- ETL and data quality engineering: Sun Life Global Solutions, Emerson Information Technology Solutions, Enaimco
- Accessible platform development to WCAG 2.2
- Master of Computer Science in progress, Memorial University of Newfoundland
AI Verification Engineer
Soma
The Evidence Architect
Soma is a systems engineer with deep expertise in verification: making the behaviour of a live system observable rather than assumed. He brings six years of production engineering across distributed backend services, cloud infrastructure and event-driven systems, and works fluently with large language models, prompt engineering and grounded retrieval. He is completing graduate study at Memorial University of Newfoundland.
- Six years production engineering: Java, Spring Boot, React and Angular
- AWS, Docker, Kubernetes and Kafka, with production monitoring and observability
- Large language models, prompt engineering and grounded retrieval
- Graduate study in progress, Memorial University of Newfoundland
Cloud and Cryptographic Systems Engineer
Ahmed
The Ledger Architect
Ahmed is a systems engineer working in applied cryptography: the guarantees that make a GNOSIS record tamper evident. He writes security-conscious systems software in modern C++, with depth in applied cryptography, protocol design and distributed systems built to hold their integrity over unreliable networks. He is completing graduate study in software engineering.
- Applied cryptography: OpenSSL, TLS, RSA, AES and SHA-256
- Modern C++, TCP/IP, concurrent and networked systems
- Protocol design, message framing and integrity validation
- AWS, Docker and Linux infrastructure
- Graduate study in software engineering
AI Platform and Integration Engineer
Sanamjan
The Platform Architect
Sanamjan is a senior data scientist working at the platform layer where models meet production data. Their expertise is anomaly detection and risk scoring at enterprise scale, on the high-volume, noisy and heavily imbalanced data that real systems actually produce, built over senior data science roles in telecommunications and consumer platforms. They hold two master's degrees and are certified through techNL in securing large language models and AI agents against prompt injection and access control risk.
- Anomaly detection and risk scoring at enterprise scale
- Senior data science: Turkish Telecommunications, Huawei AppGallery
- Python, PySpark, Spark, Kafka, Docker and AWS SageMaker
- techNL certified in secure and trustworthy AI systems
- MSc Computer Engineering, Erciyes University; MSc Information Science and Technology, National University of Malaysia