Summary
Arsh Modak is a Senior Data Scientist and AI Engineer with 8 years of experience building production-grade GenAI and ML systems for cybersecurity and compliance automation. He designs multi-agent AI platforms, fine-tunes large open-source LLMs with PEFT techniques (LoRA/QLoRA), and deploys scalable DL pipelines across multi-cloud environments using GCP/Vertex AI. His projects include a 10+ agent orchestration that cut manual compliance review by 65% and a semantic mapping system covering 20,000+ standards across 50+ frameworks, boosting analyst efficiency by 70%. He also engineered self-supervised anomaly detection that improved throughput 10× and reduced false positives by 80%, demonstrating a strong blend of research-grade modeling and production MLOps. Based in Boston with an MS in Data Science from Northeastern, he pairs deep technical rigor with an unusual interest in history and wildlife that shapes how he reasons about patterns and system design.
8 years of coding experience
4 years of employment as a software developer
A-Levels Science, A-Levels Science at Podar International School
Master of Science - MS Data Science, Master of Science - MS Data Science at Northeastern University
IGCSE (CIE) Science, IGCSE (CIE) Science at VIBGYOR Group of Schools
Bachelor of Technology Information Technology, Bachelor of Technology Information Technology at Bharati Vidyapeeth
English, Hindi, French, Marathi