Blockchain
intelligence
Tracing
Attribution
Risk analysis
Financial crime / Blockchain / Open-source intelligence
Beyond the transaction.
Into the intelligence.
Investigating financial crime through blockchain analysis, digital evidence and open-source intelligence.
01From on-chain signal04to defensible insight
TRACES
CONNECTIONS
PATTERNS
PEOPLE
INTELLIGENCE
CONNECTIONS
PATTERNS
PEOPLE
INTELLIGENCE
A MORE COMPLETE PICTURE
LOCATION NOT SHARED
Blockchain
Financial crime
investigations
KYC · KYB · EDD
PEP & sanctions screening
Transaction monitoring
Open-source
intelligence
Digital evidence
Geolocation
Entity analysis
Investigative
methodology
Research
Analysis
Reporting
01 — Fields of inquiry
Follow the signal.
Understand the system.
Investigative work at the intersection of blockchain data, open sources and financial crime typologies.
Blockchain intelligence
Transaction-flow analysis, entity exposure assessment and cross-chain movement mapping—translated into decisions, not data dumps.
Financial crime investigations
KYC, KYB and enhanced due diligence; PEP and sanctions screening; transaction monitoring; and structured analysis of fraud and laundering indicators.
Open-source intelligence
Ethical collection and corroboration of public records, digital traces and contextual evidence to strengthen an investigative hypothesis.
01 — Featured casework
Signals become stories.
Selected public and anonymized case notes
evidence-led, with sensitive details withheld
ANONYMIZED SCAM TRACE01
Scam-flow tracing to Kyrrex
Transaction sequencing · Wallet relationships · OSINTInvestigated smaller transfers followed by much larger transactions, reconstructing the sequence and tracing subsequent movements to activity connected with Kyrrex.
Open case note →TRON ↔ ETHEREUM02
Cross-chain USDT tracing
Cryptocurrency intelligence · Complex investigationsReconstructed USDT movements across Tron and Ethereum, examining intermediary wallets, service hops and mixer exposure while validating every cross-chain link.
Open case note →FROM SIGNAL TO NETWORK03
Fraud network & control analysis
Behavioural intelligence · Fraud signals · Rule calibrationConnected recurring indicators across separate investigations, revealing a wider fraud pattern and an inconsistency in how the control logic responded.
Open case note →02 — Approach
Connecting the dots
others overlook.
Every engagement is built around a testable question, documented sources and a clear distinction between fact and inference.
Discuss a research question →- 01DISCOVER
Frame
Define the question, scope and evidentiary threshold before collecting.
- 02ANALYSE
Trace
Follow on-chain flows and contextual signals across relevant networks.
- 03VERIFY
Corroborate
Test findings against independent public sources and alternative explanations.
- 04CONNECT
Communicate
Deliver a concise, defensible narrative with limitations made explicit.
LC / 03LC+
Evidence before assumption.
Context before conclusion.
03 — Profile
Intelligence with
investigative discipline.
Financial crime investigator specialising in complex cryptocurrency tracing and intelligence-led fraud analysis.
Close to four years across regulated digital-asset environments, spanning KYC, KYB and enhanced due diligence, PEP and sanctions screening, transaction monitoring and blockchain investigations. Transactional, behavioural, on-chain and open-source evidence is connected to reconstruct activity, attribute risk and support defensible escalation.
Investigative practice
Reconstruct multi-hop and cross-chain flows, connect wallet and entity relationships, and identify the wider network behind suspicious activity.
Evidence standard
Validate sources, distinguish transaction links from actor attribution and state uncertainty, limitations and alternative explanations.
Operational impact
Convert recurring investigative patterns into stronger fraud controls, clearer escalation and measurable workflow improvement.
Complex investigationsForward & backward tracing · Multi-hop and cross-chain analysis · Wallet and VASP attribution · Evidence-based escalation
Control impactDetected recurring fraud patterns and control gaps · Improved detection logic with Product and Engineering · Reduced false positives without weakening risk coverage
Project ownershipTook ownership of a fraud-rule remediation affecting approximately 5,000 users · Identified and corrected faulty logic that had incorrectly restricted account access
Operational impactDesigned a 24/7 transaction-incident monitoring workflow · Reduced median resolution from 12 hours to under 30 minutes
CredentialsChainalysis Certified Investigator · Chainalysis compliance & KYT training · ICA Specialist Certificate in CFT
Some messages are not meant
to be seen at first glance.
54 52 55 53 54 42 55 54 56 45 52 49 46 5904 — Contact
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