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Archisman RayAR
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Archisman Ray

@archismanray

I build explainable machine-learning systems for crypto AML and fraud detection.

India
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What I'm looking for

I'm looking to build production machine-learning systems for fraud detection, AML, compliance, or blockchain security, where I can own pipelines from data ingestion through deployment and deliver interpretable outcomes for operational teams.

At Hornet, I serve as the founding ML engineer, architecting an end-to-end AML pipeline for 100k+ blockchain transactions. I build XGBoost and LightGBM risk-scoring models, Go APIs for real-time inference, and audit-ready evaluation workflows using SHAP, precision, recall, and F1.

I also built an Ethereum fraud-detection pipeline that achieved 97.9% bootstrap accuracy with LightGBM, and a multi-agent RAG system using Ollama and LangChain for context-aware retrieval and response generation.

Experience

Work history, roles, and key accomplishments

HO
Current

Machine Learning Engineer

Hornet

May 2025 - Present (1 year 4 months)

Served as founding ML engineer, architecting the company's end-to-end AML pipeline from scratch, including data ingestion, feature engineering, model training, and production deployment. Developed and maintained ML classification models for risk scoring on blockchain transactions, achieving 92% accuracy.

Education

Degrees, certifications, and relevant coursework

Sister Nivedita University logoSU

Sister Nivedita University

Bachelor of Technology, Computer Science Engineering

2021 - 2025

Grade: 7.82 CGPA

Pursued a Bachelor of Technology in Computer Science Engineering, achieving a CGPA of 7.82.

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