# Arghya Mukherjee, PhD

> Arghya Mukherjee, PhD: Tulsa-based data scientist and AI engineer building VLMs, agentic AI, MCP servers, and fraud detection. Founder of ChainDiligence.

I’m a data scientist and AI engineer who builds systems that turn messy data into decisions. My work spans vision-language models, generative and agentic AI, fraud detection, ontology development, and MCP servers that connect language models to real tools and data.

As a Senior Data Scientist for the State of Oklahoma, I deliver machine learning and AI across state agencies. I also founded ChainDiligence, a blockchain intelligence company that turns my cryptocurrency crime research into products for screening, monitoring, and investigations.

I earned my PhD in Computer Science from the University of Tulsa in December 2025. My research measures scams, market manipulation, and security shocks in cryptocurrency ecosystems, and has been covered by Bloomberg and Bruce Schneier.

Open to roles: Principal Data Scientist, Forward Deployed Engineer (FDE), Security Research.
Location: Tulsa, Oklahoma. Contact: arghyamukherjee1991@gmail.com.

## Experience
- Founder, ChainDiligence (May 2026 – Present): Founded a research-driven blockchain intelligence company that helps compliance, fraud, security, and investigation teams act on blockchain activity.
- Computer Vision Engineer, Chevron (Oct 2025 – Apr 2026): Built a computer vision inspection system that detects damage to energy infrastructure from imagery.
- Data Scientist III, Office of Management and Enterprise Services, State of Oklahoma (Jan 2025 – Present): Design, build, and deploy machine learning and AI solutions for state agencies, from scoping with stakeholders to production and monitoring.
- Data Scientist, ML/AI Engineer, Workonward Inc (Apr 2024 – Dec 2024): Designed voice search and an AI chatbot that let customers reach key information hands-free, increasing user interaction by 200% within three months of launch.
- AI Software Engineer, Anti-Phishing Working Group (Apr 2024 – Present): Develop ontologies that give APWG’s eCrime data a shared structure, linking scams, wallets, domains, and campaigns.
- Data Scientist, ML/AI Engineer, Robbie AI (May 2023 – Apr 2024): Developed computer vision models to identify body structures, and neural networks that detect pain level from FACS and PSPI scores.
- Software Engineer (DevOps), Anti-Phishing Working Group (Oct 2020 – Mar 2024): Built and ran data services for APWG’s Cryptocurrency Working Group, used by members in academia, industry, and law enforcement-facing research.
- Research Assistant & Data Scientist, The University of Tulsa (Jan 2018 – Dec 2024): Built fraud detection research end to end: pump-and-dump schemes, scams, market manipulation, and the failure of coins and exchanges.
- IT Risk Assurance Associate, PricewaterhouseCoopers (Jan 2015 – Dec 2016): Delivered IT risk advisory work: risk assessments, security reviews, compliance assessments, and IT governance assessments.

## Cybersecurity
Security has run through my career, from IT risk advisory at PwC to eCrime data at the Anti-Phishing Working Group, a PhD measuring cryptocurrency crime, and now building blockchain intelligence at ChainDiligence.
- Cryptocurrency crime measurement: Empirical studies of pump-and-dump schemes, scams, exchange closures, and the lifespan of coins, published at venues including ACM CCS workshops, APWG eCrime, and HICSS.
- Blockchain intelligence & investigations: Wallet screening, entity attribution, fund-flow tracing across chains, and explainable risk scoring for compliance and investigation teams.
- Fraud, anti-abuse & AML: Detection of pump-and-dump schemes, scams, and illicit fund flows across University of Tulsa research and APWG work, built on labeled data from research and industry feeds.
- Phishing & eCrime data: Collecting, enriching, and serving threat data on scam and ransomware wallets for APWG’s global membership.
- Security economics: Measuring the impact of breaches and security shocks on markets, and modeling how organizations should invest in security.
- IT risk & governance: Risk assessments, security reviews, compliance testing, and control-gap analysis for enterprise clients at PwC.

## Publications
190+ citations on Google Scholar. Covered by Bloomberg and Schneier on Security.
- [Beyond the hype: Empirical evaluation of cryptocurrency unicorn success](https://tylermoore.utulsa.edu/hicss25.pdf): Arghya Mukherjee, Tyler Moore. Hawaii International Conference on System Sciences (HICSS), 2025.
- [Cryptocurrency Exchange Closure Revisited (Again)](https://ieeexplore.ieee.org/abstract/document/10142141): Arghya Mukherjee, Tyler Moore. APWG Symposium on Electronic Crime Research (eCrime), 2022.
- [An examination of the cryptocurrency pump-and-dump ecosystem](https://www.sciencedirect.com/science/article/pii/S0306457321000169): JT Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore, Marie Vasek. Information Processing and Management, 2021.
- [Analyzing Target-Based Cryptocurrency Pump and Dump Schemes](https://dl.acm.org/doi/abs/10.1145/3464967.3488591): JT Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore, Marie Vasek. ACM CCS Workshop on Decentralized Finance and Security, 2021.

## Education
- PhD, Computer Science, The University of Tulsa, 2018 – Dec 2025. Control + Alt + Deceive: Empirical analysis of cryptocurrency ecosystem and cyber crime.
- MSc, University of St Andrews, 2014. Measuring enterprise IEEE 802.11 (Wi-Fi) standards.
- Bachelor of Computer Applications, West Bengal University of Technology, 2012. Computer applications and information technology.

## Skills
- AI & machine learning: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, Vision-language models, OpenCV
- Generative & agentic AI: LLMs, RAG, AI agents, MCP servers, LangChain, Amazon Bedrock, Fine-tuning
- Knowledge & data modeling: Ontology development, Knowledge graphs, Data modeling, SQL, GraphQL
- Data & analytics: Python, R, Pandas, PySpark, Stata, Power BI, Tableau, ESRI
- Cloud & MLOps: AWS, Azure, Google Cloud, Docker, Kubernetes, Apache Airflow, Snowflake, CI/CD
- Security & blockchain: Blockchain analysis, Fraud detection, AML, Anti-abuse, Threat intelligence, SIEM, Elasticsearch, IT risk assessment

## Links
- [CV (PDF)](https://arghyam.me/resume/ArghyaMukherjee_Resume_DS_Nov4_24.pdf)
- [LinkedIn](https://www.linkedin.com/in/arghyamukherjee/)
- [GitHub](https://github.com/amukherjee1991/)
- [Google Scholar](https://scholar.google.com/citations?user=wJBHR1QAAAAJ&hl=en)
- [ChainDiligence](https://chaindiligence.com)
- [Substack](https://arghyamukherjee2.substack.com)