Built by people who sweat the details.

Madiha is a software engineer working across the surfaces people actually use: the front end and the services behind it, turning the messy reality of a frontline workflow into something clear on screen. She holds a Bachelor of Engineering in Computer Engineering from Memorial University of Newfoundland, where she is completing a Master of Technology Management, and came to GNOSIS from software engineering at the National Research Council of Canada.

Sumaiya is a quality engineer whose expertise is data integrity: the testing and validation that make sure what GNOSIS captures is accurate and holds up under review. Her background is data quality engineering and dataset curation for machine learning systems, where getting the details right is the whole job. She holds a Bachelor of Science in Computer Science and Engineering and is completing a Master of Science in Data Science at Memorial University of Newfoundland.

Jasleen leads the GNOSIS engineering team, the kind of lead people want to build with: calm, exacting, and generous with what she knows. 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.

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.

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.

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.