
Archisman Ray
@archismanray
I build explainable machine-learning systems for crypto AML and fraud detection.
What I'm looking for
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
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
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.
Availability
Location
Authorized to work in
Portfolio
github.com/MochoyeSalary expectations
Job categories
Skills
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