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Technical researcher and systems engineer working across AI, cybersecurity, backend systems, telecommunications and digital verification.

My work focuses on high-integrity systems, evidence-aware analysis, correctness, auditability and clear system boundaries, particularly in environments where reliability, traceability, security and compliance matter.

I design and build technical systems intended for real operational contexts rather than demonstrations. My current direction increasingly combines systems engineering with open-source research, claim verification, information integrity and analyst-assisted decision support.

I am extending my work toward digital verification, disinformation research and information integrity.

Current areas of interest include:

• claim decomposition and structured verification
• source provenance and evidence tracing
• prior fact-check discovery
• temporal consistency analysis
• citation support assessment
• AI-assisted analyst workflows
• technical verification of claims involving AI, cybersecurity, telecommunications, RF systems and emerging technologies
• transparent handling of uncertainty and model disagreement

Open-source analyst-assisted claim verification workbench focused on claim decomposition, prior fact-check discovery, temporal consistency and transparent human review.

Repository: https://github.com/z1000biker/evidencetrace

• Technical research and evidence evaluation
• Backend system design and implementation
• AI and machine learning workflows
• Event-driven and real-time architectures
• Deterministic state machines and business logic
• API design and service boundaries
• Data modeling and persistence
• Security, access control and compliance-aware systems
• Telecommunications and software-defined radio systems
• Hardware and software boundary design
• Analyst-assisted decision support
• Auditability and traceable system behaviour
• Clear architectural and technical documentation

Open-source analyst-assisted claim verification workbench.

Designed to support structured verification rather than simplistic fake-or-true classification. Current capabilities include claim decomposition, prior fact-check discovery, temporal consistency checking and transparent analyst review.

The project is being developed around the principle that machine-generated assessments are decision-support signals rather than proof.

https://github.com/z1000biker/evidencetrace

FIX-native market surveillance engine for crypto trading venues.

Designed for regulator-grade environments, combining real-time gRPC pipelines, explainable machine learning and structured case management to identify suspicious trading behaviour, market abuse indicators and potential compliance violations.

The project emphasizes traceability, analyst review and auditable decision support.

https://github.com/z1000biker/fix-crypto-surveillance-

Cybersecurity Regulatory Applicability Decision Support System.

Supports structured analysis of regulatory applicability and mapping of requirements to technical controls. Focuses on transparent decision logic, traceable reasoning and compliance-oriented security analysis.

https://github.com/z1000biker/CRADSS

Low-level software-defined radio pipeline for radar signal acquisition and processing.

Emphasizes real-time data ingestion, signal integrity and careful engineering at the hardware-software boundary.

Relevant research interests include technical verification of claims involving RF systems, communications, interference, signal behaviour and telecommunications infrastructure.

https://github.com/z1000biker/rtlsdr4radar

Backend system for aggregating probabilistic beliefs about future outcomes in an event-driven market.

Focuses on real-time state management, deterministic resolution logic, market integrity and scalable backend coordination under concurrent activity.

https://github.com/z1000biker/event-driven-prediction-market

System design and backend architecture documentation for a secure web application supporting dental clinic workflows.

Covers backend APIs, role-based access control, data isolation and scalable SaaS design patterns in a regulated healthcare context.

https://github.com/z1000biker/dental-assistant-architecture

Negotiation agent for medical supplies procurement.

Implements structured negotiation logic with emphasis on determinism, auditability and correctness in regulated medical supply chains.

https://github.com/z1000biker/pharmanegotiation

My work spans several areas that are increasingly relevant to technical verification and information integrity:

• Artificial intelligence and machine learning
• Cybersecurity and cyber-risk analysis
• Backend and distributed systems
• Telecommunications infrastructure
• Satellite communications
• Software-defined radio
• IoT and telemetry systems
• Cloud and AI platforms
• Regulated and compliance-sensitive environments
• Technical claim evaluation
• Evidence-aware analytical workflows

Earlier in my career, I worked extensively as an educator, lecturer and mentor, creating repositories used for teaching backend development, AI, machine learning, 3D graphics, IoT, networking, cybersecurity, software engineering fundamentals and system design.

These repositories were designed for learning environments and emphasize:

• fundamental concepts of optimization
• progressive introduction of complexity
• readable and explicit code
• didactic structure rather than production constraints

Several older repositories on this profile reflect this teaching role and should be interpreted in that context.

My current pinned repositories represent my present professional focus on technical research, AI, cybersecurity, backend systems, digital verification and high-integrity software for real-world environments.

I am based in Greece and interested in remote or hybrid opportunities across the UK, Northern and Central Europe and North America.

I am open to relocation for the right role.

My main interests are technically demanding positions involving:

• technical research
• digital verification
• disinformation analysis
• information integrity
• AI and cybersecurity
• backend and systems engineering
• analyst-assisted decision support
• telecommunications and technical investigations

For professional inquiries related to technical research, digital verification, AI, cybersecurity, backend systems or information integrity:

• LinkedIn: https://www.linkedin.com/in/nik-k-78204952/
• Email: nkontopoul [at] gmail [dot] com
• GitHub: https://github.com/z1000biker